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Revista Cubana de Información en Ciencias de la Salud

On-line version ISSN 2307-2113


SAINZ PADRON, Leisi et al. Expert systems developed worldwide to detect, diagnose and treat cancer. Rev. cuba. inf. cienc. salud [online]. 2020, vol.31, n.4, e1488.  Epub Feb 15, 2021. ISSN 2307-2113.

Expert systems belong in the field of artificial intelligence. They are defined as information systems that simulate the process of learning, memorizing, reasoning, communicating and consequent acting of a human expert in any field of science with the aim of solving problems. The purpose of the study was to characterize the expert systems developed worldwide to detect, diagnose and treat cancer. To achieve such an end, an exhaustive bibliographic review was conducted in the Internet databases EBSCO, PubMed and SciELO, prioritizing original papers and bibliographic reviews. Most of the 12 papers selected are diploma theses and publications from the database SciELO. The systems included in our research were conceived of based on simulation of practical cases, document analysis and information obtained from a number of live interviews designed in an Internet environment to ensure online access by specialists, students and the patients themselves, in some cases with an accuracy level ranging from 87% to 100%. They also exhibit the common functionality of establishing the probability that a patient may or may not suffer from cancer, regardless of their location, bearing in mind the presence of signs or symptoms associated to the disease and fostering detection of an early diagnosis to determine an efficient treatment.

Keywords : Artificial intelligence; expert systems; information programs; medicine; cancer.

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