Publicación:
Diagnosis of SARS-CoV-2 Based on Patient Symptoms and Fuzzy Classifiers

dc.contributor.authorBecerra Suarez, Fray L.
dc.contributor.authorMejia Cabrera, Heber I.
dc.contributor.authorTuesta Monteza, Víctor A.
dc.contributor.authorForero, Manuel G.
dc.date.accessioned2021-11-12T20:20:52Z
dc.date.available2021-11-12T20:20:52Z
dc.date.issued2021-04-12
dc.description.abstractThe contention, mitigation and prevention measures that governments have implemented around the world do not appear to be sufficient to prevent the spread of SARS-CoV-2. The number of infected and dead continues to rise every day, putting a strain on the capacity and infrastructure of hospitals and medical centers. Therefore, it is necessary to develop new diagnostic methods based on patients' symptoms that allow the generation of early warnings for appropriate treatment. This paper presents a new method in development for the diagnosis of SARS-CoV-2, based on patient symptoms and the use of fuzzy classifiers. Eleven (11) variables were fuzzified. Then, knowledge rules were established and finally, the center of mass method was used to generate the diagnostic results. The method was tested with a database of clinical records of symptomatic and asymptomatic SARS-CoV-2 patients. By testing the proposed model with data from symptomatic patients, we obtained 100% sensitivity and 100% specificity. Patients according to their symptoms are classified into two classes, allowing for the detection of patients requiring immediate attention from those with milder symptoms.es_CO
dc.description.sponsorshipUniversidad de Ibaguées_CO
dc.identifier.citationBecerra-Suarez F.L., Mejia-Cabrera H.I., Tuesta-Monteza V.A., Forero M.G. (2021) Diagnosis of SARS-CoV-2 Based on Patient Symptoms and Fuzzy Classifiers. In: Lossio-Ventura J.A., Valverde-Rebaza J.C., Díaz E., Alatrista-Salas H. (eds) Information Management and Big Data. SIMBig 2020. Communications in Computer and Information Science, vol 1410. Springer, Cham. https://doi.org/10.1007/978-3-030-76228-5_35es_CO
dc.identifier.issnBecerra-Suarez F.L., Mejia-Cabrera H.I., Tuesta-Monteza V.A., Forero M.G. (2021) Diagnosis of SARS-CoV-2 Based on Patient Symptoms and Fuzzy Classifiers. In: Lossio-Ventura J.A., Valverde-Rebaza J.C., Díaz E., Alatrista-Salas H. (eds) Information Management and Big Data. SIMBig 2020. Communications in Computer and Information Science, vol 1410. Springer, Cham. https://doi.org/10.1007/978-3-030-76228-5_35
dc.identifier.urihttps://link.springer.com/chapter/10.1007%2F978-3-030-76228-5_35
dc.language.isoenes_CO
dc.publisherCommunications in Computer and Information Sciencees_CO
dc.subjectSARS-CoV-2es_CO
dc.subjectCovid-19es_CO
dc.subjectCoronaviruses_CO
dc.subjectFuzzy classifieres_CO
dc.subjectDiagnosises_CO
dc.titleDiagnosis of SARS-CoV-2 Based on Patient Symptoms and Fuzzy Classifierses_CO
dc.typeArticlees_CO
dspace.entity.typePublication
eperson.emailmanuel.forero@unibague.edu.coes_CO
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