<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>2227-1899</journal-id>
<journal-title><![CDATA[Revista Cubana de Ciencias Informáticas]]></journal-title>
<abbrev-journal-title><![CDATA[RCCI]]></abbrev-journal-title>
<issn>2227-1899</issn>
<publisher>
<publisher-name><![CDATA[Editorial Ediciones Futuro]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S2227-18992023000300006</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Herramientas computacionales para el apoyo al diagnóstico de pacientes con Parkinson: una revisión sistemática]]></article-title>
<article-title xml:lang="en"><![CDATA[Computational tools to support the diagnosis of patients with Parkinson's: a systematic review]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Rodríguez González]]></surname>
<given-names><![CDATA[Eliany]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Mar Cornelio]]></surname>
<given-names><![CDATA[Omar]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[García García]]></surname>
<given-names><![CDATA[Arlety Leticia]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Bron Fonseca]]></surname>
<given-names><![CDATA[Barbara]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad de la Isla de la Juventud &#8220;Jesús Montané Oropesa&#8221;  ]]></institution>
<addr-line><![CDATA[ Nueva Gerona]]></addr-line>
<country>Cuba</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universidad de las Ciencias Informáticas  ]]></institution>
<addr-line><![CDATA[ La Habana]]></addr-line>
<country>Cuba</country>
</aff>
<aff id="Af3">
<institution><![CDATA[,Universidad de la Isla de la Juventud &#8220;Jesús Montané Oropesa&#8221;  ]]></institution>
<addr-line><![CDATA[ Nueva Gerona]]></addr-line>
<country>Cuba</country>
</aff>
<aff id="Af4">
<institution><![CDATA[,Universidad de las Ciencias Informáticas  ]]></institution>
<addr-line><![CDATA[ La Habana]]></addr-line>
<country>Cuba</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>09</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>09</month>
<year>2023</year>
</pub-date>
<volume>17</volume>
<numero>3</numero>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_arttext&amp;pid=S2227-18992023000300006&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_abstract&amp;pid=S2227-18992023000300006&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_pdf&amp;pid=S2227-18992023000300006&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[RESUMEN Las técnicas de inteligencia artificial, así como los métodos de aprendizaje automático, se utilizan para automatizar el proceso de reconocimiento preciso de patrones. Dada la necesidad de estudiar y obtener modelos de diagnóstico escalables que apoyen la toma de decisiones de los profesionales médicos en la detección temprana y no invasiva de la enfermedad del Parkinson (EP), esta investigación tiene como objetivo: Identificar las diferentes herramientas computacionales que han sido desarrollados por los investigadores en apoyo al diagnóstico de pacientes con EP. Se realizó una revisión sistemática sobre las herramientas computacionales para el apoyo al diagnóstico de pacientes con EP. Las búsquedas se realizaron en Google escolar, PubMed, Scopus, IEEE, Scielo y Springer. Se hizo una selección de artículos potencialmente relevantes y que estuvieran asociado al tema objeto de estudio. Los conjuntos de datos biomédicos de voz y señales fueron los tipos de datos más utilizados para desarrollar y validar estos modelos. Sin embargo, las imágenes de resonancia magnética y tomografía computarizada también se utilizaron en los estudios incluidos. A partir de este estudio se pudo constatar que la mayoría de las investigaciones están encaminadas al apoyo del diagnóstico de la enfermedad del Parkinson y la clasificación de estadios o subtipos de la EP. Si bien los modelos tienen un gran potencial para mejorar el diagnóstico y tratamiento de la enfermedad de Parkinson, aún se necesitan más estudios y validaciones clínicas para determinar su efectividad y precisión en diferentes contextos clínicos.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[ABSTRACT Artificial intelligence techniques as well as machine learning methods are used to automate the process of accurate pattern recognition. Given the need to study and obtain scalable diagnostic models that support the decision-making of medical professionals in the early and non-invasive detection of Parkinson's disease (PD), this research aims to: Identify the different computational tools that have been developed by researchers to support the diagnosis of patients with PD. A systematic review on computational tools to support the diagnosis of patients with PD was carried out. Searches were performed using Google Scholar, PubMed, Scopus, IEEE, Scielo, and Springer. A selection of potentially relevant articles that were associated with the topic under study was made. Speech and signal biomedical data sets were the most commonly used data types to develop and validate these models. However, magnetic resonance imaging and computed tomography were also used in the included studies. From this study it was possible to verify that most of the investigations are aimed at supporting the diagnosis of Parkinson's disease and the classification of stages or subtypes of PD. Although the models have great potential to improve the diagnosis and treatment of Parkinson's disease, further studies and clinical validations are still needed to determine their effectiveness and accuracy in different clinical settings.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[Enfermedad de Parkinson]]></kwd>
<kwd lng="es"><![CDATA[diagnóstico médico]]></kwd>
<kwd lng="es"><![CDATA[inteligencia artificial]]></kwd>
<kwd lng="es"><![CDATA[aprendizaje automático]]></kwd>
<kwd lng="en"><![CDATA[Parkinson's disease]]></kwd>
<kwd lng="en"><![CDATA[Medical diagnostic]]></kwd>
<kwd lng="en"><![CDATA[artificial intelligence]]></kwd>
<kwd lng="en"><![CDATA[machine learning]]></kwd>
</kwd-group>
</article-meta>
</front><back>
<ref-list>
<ref id="B1">
<nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Agarwal]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Chandrayan]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Sahu]]></surname>
<given-names><![CDATA[S. S]]></given-names>
</name>
</person-group>
<source><![CDATA[Prediction of Parkinson's disease using speech signal with Extreme Learning Machine. 2016 international conference on electrical, electronics, and optimization techniques (ICEEOT)]]></source>
<year>2016</year>
</nlm-citation>
</ref>
<ref id="B2">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Aguada]]></surname>
<given-names><![CDATA[D. P.]]></given-names>
</name>
<name>
<surname><![CDATA[Luque]]></surname>
<given-names><![CDATA[M. M.]]></given-names>
</name>
<name>
<surname><![CDATA[García]]></surname>
<given-names><![CDATA[A. O.]]></given-names>
</name>
<name>
<surname><![CDATA[Cornelio]]></surname>
<given-names><![CDATA[O. M]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Diseño de sistema basado en reglas para apoyar la toma de decisiones de la población en la obtención de los medicamentos]]></article-title>
<source><![CDATA[Revista Cubana de Informática Médica]]></source>
<year>2023</year>
<volume>15</volume>
<numero>2</numero>
<issue>2</issue>
</nlm-citation>
</ref>
<ref id="B3">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Ahmadi]]></surname>
<given-names><![CDATA[S.-A.]]></given-names>
</name>
<name>
<surname><![CDATA[Vivar]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
<name>
<surname><![CDATA[Frei]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Nowoshilow]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Bardins]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Brandt]]></surname>
<given-names><![CDATA[T.]]></given-names>
</name>
<name>
<surname><![CDATA[Krafczyk]]></surname>
<given-names><![CDATA[S]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Towards computerized diagnosis of neurological stance disorders: data mining and machine learning of posturography and sway]]></article-title>
<source><![CDATA[Journal of Neurology]]></source>
<year>2019</year>
<volume>266</volume>
<page-range>108-17</page-range></nlm-citation>
</ref>
<ref id="B4">
<nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Al-Fatlawi]]></surname>
<given-names><![CDATA[A. H.]]></given-names>
</name>
<name>
<surname><![CDATA[Jabardi]]></surname>
<given-names><![CDATA[M. H.]]></given-names>
</name>
<name>
<surname><![CDATA[Ling]]></surname>
<given-names><![CDATA[S. H]]></given-names>
</name>
</person-group>
<source><![CDATA[Efficient diagnosis system for Parkinson's disease using deep belief network. 2016 IEEE Congress on evolutionary computation (CEC)]]></source>
<year>2016</year>
</nlm-citation>
</ref>
<ref id="B5">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Alam]]></surname>
<given-names><![CDATA[M. N.]]></given-names>
</name>
<name>
<surname><![CDATA[Garg]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Munia]]></surname>
<given-names><![CDATA[T. T. K.]]></given-names>
</name>
<name>
<surname><![CDATA[Fazel-Rezai]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[Tavakolian]]></surname>
<given-names><![CDATA[K]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Vertical ground reaction force marker for Parkinson&#8217;s disease]]></article-title>
<source><![CDATA[Plos one]]></source>
<year>2017</year>
<volume>12</volume>
<numero>5</numero>
<issue>5</issue>
</nlm-citation>
</ref>
<ref id="B6">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Amato]]></surname>
<given-names><![CDATA[F.]]></given-names>
</name>
<name>
<surname><![CDATA[Borzì]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
<name>
<surname><![CDATA[Olmo]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
<name>
<surname><![CDATA[Orozco-Arroyave]]></surname>
<given-names><![CDATA[J. R]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[An algorithm for Parkinson&#8217;s disease speech classification based on isolated words analysis]]></article-title>
<source><![CDATA[Health Information Science and Systems]]></source>
<year>2021</year>
<volume>9</volume>
<page-range>1-15</page-range></nlm-citation>
</ref>
<ref id="B7">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Beli&#263;]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Bobi&#263;]]></surname>
<given-names><![CDATA[V.]]></given-names>
</name>
<name>
<surname><![CDATA[Bad&#382;a]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[&#352;olaja]]></surname>
<given-names><![CDATA[N.]]></given-names>
</name>
<name>
<surname><![CDATA[&#272;uri&#263;-Jovi&#269;i&#263;]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Kosti&#263;]]></surname>
<given-names><![CDATA[V. S]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Artificial intelligence for assisting diagnostics and assessment of Parkinson&#8217;s disease-A review]]></article-title>
<source><![CDATA[Clinical neurology and neurosurgery]]></source>
<year>2019</year>
<volume>184</volume>
</nlm-citation>
</ref>
<ref id="B8">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Berrio-Zapata]]></surname>
<given-names><![CDATA[S. Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Orozco-Arroyave]]></surname>
<given-names><![CDATA[J. R]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Construcción de mapas articulatorios para la detección automática de la enfermedad de Parkinson por medio de la voz]]></article-title>
<source><![CDATA[Revista de logopedia, foniatría y audiología]]></source>
<year>2022</year>
<volume>42</volume>
<numero>4</numero>
<issue>4</issue>
<page-range>197-207</page-range></nlm-citation>
</ref>
<ref id="B9">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Bhoi]]></surname>
<given-names><![CDATA[A. K]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Classification and clustering of Parkinson's and healthy control gait dynamics using LDA and K-means]]></article-title>
<source><![CDATA[International Journal Bioautomation]]></source>
<year>2017</year>
<volume>21</volume>
<numero>1</numero>
<issue>1</issue>
</nlm-citation>
</ref>
<ref id="B10">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Cornelio]]></surname>
<given-names><![CDATA[O. M.]]></given-names>
</name>
<name>
<surname><![CDATA[Santos]]></surname>
<given-names><![CDATA[L. A.]]></given-names>
</name>
<name>
<surname><![CDATA[Fonseca]]></surname>
<given-names><![CDATA[B. B.]]></given-names>
</name>
<name>
<surname><![CDATA[Hernández]]></surname>
<given-names><![CDATA[K. D]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Sistema para la gestión de información como de apoyo al diagnóstico médico basado en mapa cognitivo difuso]]></article-title>
<source><![CDATA[Revista Científica Arbitrada Multidisciplinaria PENTACIENCIAS]]></source>
<year>2023</year>
<volume>5</volume>
<numero>2</numero>
<issue>2</issue>
<page-range>145-58</page-range></nlm-citation>
</ref>
<ref id="B11">
<nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Damota]]></surname>
<given-names><![CDATA[J. C.]]></given-names>
</name>
<name>
<surname><![CDATA[García]]></surname>
<given-names><![CDATA[A. L. G.]]></given-names>
</name>
<name>
<surname><![CDATA[Peña]]></surname>
<given-names><![CDATA[A. S]]></given-names>
</name>
</person-group>
<source><![CDATA[Aplicación para la clasificación de pacientes con Parkinson con el empleo de aprendizaje automático Evento virtual. Primera Convención Científica Internacional: &#8220;ISLACIENCIA 2021&#8221;, Isla de la Juventud. Cuba]]></source>
<year>2021</year>
</nlm-citation>
</ref>
<ref id="B12">
<nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Fernández Sanz]]></surname>
<given-names><![CDATA[B]]></given-names>
</name>
</person-group>
<source><![CDATA[Biomarcadores para el diagnóstico diferencial de la Enfermedad de Parkinson a partir de la voz y/o el habla]]></source>
<year>2021</year>
</nlm-citation>
</ref>
<ref id="B13">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Figueroa Villacreses]]></surname>
<given-names><![CDATA[G. X.]]></given-names>
</name>
<name>
<surname><![CDATA[Zambrano Zurita]]></surname>
<given-names><![CDATA[L. C.]]></given-names>
</name>
<name>
<surname><![CDATA[Jarrin]]></surname>
<given-names><![CDATA[P]]></given-names>
</name>
</person-group>
<source><![CDATA[Desarrollo de un modelo de aprendizaje profundo para el reconocimiento y clasificación de expresiones faciales asociadas a la enfermedad de Parkinson ESPOL]]></source>
<year>2022</year>
<publisher-name><![CDATA[FIEC]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B14">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Fonseca]]></surname>
<given-names><![CDATA[B. B.]]></given-names>
</name>
<name>
<surname><![CDATA[Benitez]]></surname>
<given-names><![CDATA[L. C. M.]]></given-names>
</name>
<name>
<surname><![CDATA[Oliva]]></surname>
<given-names><![CDATA[Á. M. H]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[La estructura de desglose del trabajo como mecanismo viable para la generación de proyectos exitosos]]></article-title>
<source><![CDATA[Serie Científica de la Universidad de las Ciencias Informáticas]]></source>
<year>2019</year>
<volume>12</volume>
<numero>5</numero>
<issue>5</issue>
<page-range>63-75</page-range></nlm-citation>
</ref>
<ref id="B15">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Fu]]></surname>
<given-names><![CDATA[W.]]></given-names>
</name>
<name>
<surname><![CDATA[Xu]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
<name>
<surname><![CDATA[Yu]]></surname>
<given-names><![CDATA[Q.]]></given-names>
</name>
<name>
<surname><![CDATA[Fang]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Zhao]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
<name>
<surname><![CDATA[Li]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Pan]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Dong]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
<name>
<surname><![CDATA[Wang]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
<name>
<surname><![CDATA[Ren]]></surname>
<given-names><![CDATA[H]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Artificial Intelligent Olfactory System for the Diagnosis of Parkinson&#8217;s Disease]]></article-title>
<source><![CDATA[ACS omega]]></source>
<year>2022</year>
<volume>7</volume>
<numero>5</numero>
<issue>5</issue>
<page-range>4001-10</page-range></nlm-citation>
</ref>
<ref id="B16">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Giannakopoulou]]></surname>
<given-names><![CDATA[K.-M.]]></given-names>
</name>
<name>
<surname><![CDATA[Roussaki]]></surname>
<given-names><![CDATA[I.]]></given-names>
</name>
<name>
<surname><![CDATA[Demestichas]]></surname>
<given-names><![CDATA[K]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Internet of Things Technologies and Machine Learning Methods for Parkinson&#8217;s Disease Diagnosis, Monitoring and Management: A Systematic Review]]></article-title>
<source><![CDATA[Sensors]]></source>
<year>2022</year>
<volume>22</volume>
<numero>5</numero>
<issue>5</issue>
</nlm-citation>
</ref>
<ref id="B17">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Huang]]></surname>
<given-names><![CDATA[Y.-P.]]></given-names>
</name>
<name>
<surname><![CDATA[Singh]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
<name>
<surname><![CDATA[Kuo]]></surname>
<given-names><![CDATA[H.-C]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A hybrid fuzzy clustering approach for the recognition and visualization of MRI images of Parkinson&#8217;s disease]]></article-title>
<source><![CDATA[Ieee Access]]></source>
<year>2020</year>
<volume>8</volume>
<page-range>25041-51</page-range></nlm-citation>
</ref>
<ref id="B18">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Inayat]]></surname>
<given-names><![CDATA[I.]]></given-names>
</name>
<name>
<surname><![CDATA[Salim]]></surname>
<given-names><![CDATA[S. S.]]></given-names>
</name>
<name>
<surname><![CDATA[Marczak]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Daneva]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Shamshirband]]></surname>
<given-names><![CDATA[S]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A systematic literature review on agile requirements engineering practices and challenges]]></article-title>
<source><![CDATA[Computers in human behavior]]></source>
<year>2015</year>
<volume>51</volume>
<page-range>915-29</page-range></nlm-citation>
</ref>
<ref id="B19">
<nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Kazeminejad]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Golbabaei]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Soltanian-Zadeh]]></surname>
<given-names><![CDATA[H]]></given-names>
</name>
</person-group>
<source><![CDATA[Graph theoretical metrics and machine learning for diagnosis of Parkinson's disease using rs-fMRI. 2017 Artificial Intelligence and Signal Processing Conference (AISP)]]></source>
<year>2017</year>
</nlm-citation>
</ref>
<ref id="B20">
<nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Keele]]></surname>
<given-names><![CDATA[S]]></given-names>
</name>
</person-group>
<source><![CDATA[Guidelines for performing systematic literature reviews in software engineering]]></source>
<year>2007</year>
</nlm-citation>
</ref>
<ref id="B21">
<nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Li]]></surname>
<given-names><![CDATA[B.]]></given-names>
</name>
<name>
<surname><![CDATA[Zhang]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Tang]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
<name>
<surname><![CDATA[Gao]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Gu]]></surname>
<given-names><![CDATA[D]]></given-names>
</name>
</person-group>
<source><![CDATA[Automatic detection system for freezing of gait in Parkinson's Disease based on the clustering algorithm. 2018 2nd IEEE advanced information management, communicates, electronic and automation control conference (IMCEC)]]></source>
<year>2018</year>
</nlm-citation>
</ref>
<ref id="B22">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Mahapatra]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
<name>
<surname><![CDATA[Agarwal]]></surname>
<given-names><![CDATA[K.]]></given-names>
</name>
<name>
<surname><![CDATA[Khosrowabadi]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[Prasad]]></surname>
<given-names><![CDATA[D. K]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Recent advances in statistical data and signal analysis: Application to real world diagnostics from medical and biological signals]]></article-title>
<source><![CDATA[Computational and mathematical methods in medicine]]></source>
<year>2016</year>
<volume>2016</volume>
</nlm-citation>
</ref>
<ref id="B23">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Marcillo]]></surname>
<given-names><![CDATA[P. M]]></given-names>
</name>
</person-group>
<source><![CDATA[Análisis del desarrollo de software con metodología ágil y la capacidad de la sostenibilidad implementada]]></source>
<year>2022</year>
<publisher-name><![CDATA[Universidad Politécnica de Madrid]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B24">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Marín]]></surname>
<given-names><![CDATA[D. S.]]></given-names>
</name>
<name>
<surname><![CDATA[Carmona]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
<name>
<surname><![CDATA[Ibarra]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Gámez]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Enfermedad de Parkinson: fisiopatología, diagnóstico y tratamiento]]></article-title>
<source><![CDATA[Revista de La Universidad Industrial de Santander. Salud]]></source>
<year>2018</year>
<volume>50</volume>
<numero>1</numero>
<issue>1</issue>
<page-range>79-92</page-range></nlm-citation>
</ref>
<ref id="B25">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Mata]]></surname>
<given-names><![CDATA[B. M.]]></given-names>
</name>
<name>
<surname><![CDATA[Méndez]]></surname>
<given-names><![CDATA[G. D.]]></given-names>
</name>
<name>
<surname><![CDATA[Ibarra]]></surname>
<given-names><![CDATA[J. M.]]></given-names>
</name>
<name>
<surname><![CDATA[Leyva]]></surname>
<given-names><![CDATA[I. R]]></given-names>
</name>
</person-group>
<source><![CDATA[Clasificación de la Enfermedad de Parkinson Utilizando Senales Cardiovasculares]]></source>
<year>2020</year>
<publisher-name><![CDATA[Memorias del Congreso Nacional de Ingeniería Biomédica]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B26">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Mei]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Desrosiers]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Frasnelli]]></surname>
<given-names><![CDATA[J]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Machine learning for the diagnosis of Parkinson's disease: a review of literature]]></article-title>
<source><![CDATA[Frontiers in aging neuroscience]]></source>
<year>2021</year>
<volume>13</volume>
</nlm-citation>
</ref>
<ref id="B27">
<nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Mohapatra]]></surname>
<given-names><![CDATA[S. K.]]></given-names>
</name>
<name>
<surname><![CDATA[Ram]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[Alamuru]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Mohanty]]></surname>
<given-names><![CDATA[M. N]]></given-names>
</name>
</person-group>
<source><![CDATA[Classification of the Speech Signal of Parkinson's Patient using Optimized Ensemble Model. 2023 International Conference for Advancement in Technology (ICONAT)]]></source>
<year>2023</year>
</nlm-citation>
</ref>
<ref id="B28">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Muddapu]]></surname>
<given-names><![CDATA[V. R.]]></given-names>
</name>
<name>
<surname><![CDATA[Mandali]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Chakravarthy]]></surname>
<given-names><![CDATA[V. S.]]></given-names>
</name>
<name>
<surname><![CDATA[Ramaswamy]]></surname>
<given-names><![CDATA[S]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A computational model of loss of dopaminergic cells in Parkinson's disease due to glutamate-induced excitotoxicity]]></article-title>
<source><![CDATA[Frontiers in neural circuits]]></source>
<year>2019</year>
<volume>13</volume>
</nlm-citation>
</ref>
<ref id="B29">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Nguyen]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Roth]]></surname>
<given-names><![CDATA[N.]]></given-names>
</name>
<name>
<surname><![CDATA[Ghassemi]]></surname>
<given-names><![CDATA[N. H.]]></given-names>
</name>
<name>
<surname><![CDATA[Hannink]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Seel]]></surname>
<given-names><![CDATA[T.]]></given-names>
</name>
<name>
<surname><![CDATA[Klucken]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Gassner]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
<name>
<surname><![CDATA[Eskofier]]></surname>
<given-names><![CDATA[B. M]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Development and clinical validation of inertial sensor-based gait-clustering methods in Parkinson&#8217;s disease]]></article-title>
<source><![CDATA[Journal of neuroengineering and rehabilitation]]></source>
<year>2019</year>
<volume>16</volume>
<page-range>1-14</page-range></nlm-citation>
</ref>
<ref id="B30">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Olivares]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[Munoz]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[Soto]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[Crawford]]></surname>
<given-names><![CDATA[B.]]></given-names>
</name>
<name>
<surname><![CDATA[Cárdenas]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
<name>
<surname><![CDATA[Ponce]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Taramasco]]></surname>
<given-names><![CDATA[C]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[An optimized brain-based algorithm for classifying Parkinson&#8217;s disease]]></article-title>
<source><![CDATA[Applied Sciences]]></source>
<year>2020</year>
<volume>10</volume>
<numero>5</numero>
<issue>5</issue>
</nlm-citation>
</ref>
<ref id="B31">
<nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Organization]]></surname>
<given-names><![CDATA[W. H]]></given-names>
</name>
</person-group>
<source><![CDATA[Parkinson disease: a public health approach: technical brief]]></source>
<year>2022</year>
</nlm-citation>
</ref>
<ref id="B32">
<nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Ricciardi]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Amboni]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[De Santis]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Ricciardelli]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
<name>
<surname><![CDATA[Improta]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
<name>
<surname><![CDATA[Cesarelli]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
<name>
<surname><![CDATA[D&#8217;Addio]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
<name>
<surname><![CDATA[Barone]]></surname>
<given-names><![CDATA[P]]></given-names>
</name>
</person-group>
<source><![CDATA[Classifying patients affected by Parkinson&#8217;s disease into freezers or non-freezers through machine learning. 2020 IEEE International Symposium on Medical Measurements and Applications (MeMeA)]]></source>
<year>2020</year>
</nlm-citation>
</ref>
<ref id="B33">
<nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Ríos Urrego]]></surname>
<given-names><![CDATA[C. D]]></given-names>
</name>
</person-group>
<source><![CDATA[Aprendizaje por transferencia en redes neuronales convolucionales para el diagnóstico y monitoreo de la enfermedad de Parkinson usando señales de voz en tres idiomas diferentes]]></source>
<year>2019</year>
</nlm-citation>
</ref>
<ref id="B34">
<nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Rojas Jaramillo]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Roa Carvajal]]></surname>
<given-names><![CDATA[M. C]]></given-names>
</name>
</person-group>
<source><![CDATA[Caracterización de bradicinesia en pacientes con Parkinson a través de visión por computador]]></source>
<year></year>
</nlm-citation>
</ref>
<ref id="B35">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Shalaby]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Belal]]></surname>
<given-names><![CDATA[N. A.]]></given-names>
</name>
<name>
<surname><![CDATA[Omar]]></surname>
<given-names><![CDATA[Y]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Data clustering improves Siamese neural networks classification of Parkinson&#8217;s disease]]></article-title>
<source><![CDATA[Complexity]]></source>
<year>2021</year>
<volume>2021</volume>
<page-range>1-9</page-range></nlm-citation>
</ref>
<ref id="B36">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Steinke]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Lange]]></surname>
<given-names><![CDATA[F.]]></given-names>
</name>
<name>
<surname><![CDATA[Seer]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Hendel]]></surname>
<given-names><![CDATA[M. K.]]></given-names>
</name>
<name>
<surname><![CDATA[Kopp]]></surname>
<given-names><![CDATA[B]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Computational modeling for neuropsychological assessment of bradyphrenia in Parkinson&#8217;s disease]]></article-title>
<source><![CDATA[Journal of Clinical Medicine]]></source>
<year>2020</year>
<volume>9</volume>
<numero>4</numero>
<issue>4</issue>
</nlm-citation>
</ref>
<ref id="B37">
<nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Súbita]]></surname>
<given-names><![CDATA[H. S.]]></given-names>
</name>
<name>
<surname><![CDATA[de Referencia Rápida]]></surname>
<given-names><![CDATA[G]]></given-names>
</name>
</person-group>
<source><![CDATA[Guía de Práctica Clínica GPC]]></source>
<year>2013</year>
</nlm-citation>
</ref>
<ref id="B38">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Wu]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Guo]]></surname>
<given-names><![CDATA[J]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A data mining analysis of the Parkinson&#8217;s disease]]></article-title>
<source><![CDATA[Scientific Research, iBusiness]]></source>
<year>2011</year>
<volume>3</volume>
<page-range>71-5</page-range></nlm-citation>
</ref>
<ref id="B39">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Zaldívar]]></surname>
<given-names><![CDATA[N. E. M.]]></given-names>
</name>
<name>
<surname><![CDATA[Estrada]]></surname>
<given-names><![CDATA[A. A]]></given-names>
</name>
</person-group>
<source><![CDATA[Modelos matemáticos de clasificación automática de pacientes de Parkinson usando análisis de datos adquiridos mediante tomografía por emisión de positrones]]></source>
<year>2019</year>
<publisher-name><![CDATA[Universidad Nacional Autónoma de México]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B40">
<nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Zapata Ortiz]]></surname>
<given-names><![CDATA[J. C]]></given-names>
</name>
</person-group>
<source><![CDATA[Evaluación automática de la enfermedad de Parkinson a partir de señales de escritura online considerando arquitecturas de aprendizaje profundo como las CNNs]]></source>
<year>2023</year>
</nlm-citation>
</ref>
</ref-list>
</back>
</article>
