Creation of an artificial neural network model to predict diseases based on patient symptomatology

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AudienciaPúblico en generales_ES
CoberturaMéxicoes_ES
Fecha de ingreso2026-10-05T16:34:01Z
Fecha de publicación2024-01-01
ResumenThe main purpose of this research is the creation of an artificial neural network aimed at predicting common diseases in patients who reside in marginalized or difficult-to-access areas such as: influenza, sinusitis, stomach and urinary tract infections. The basis of this work focuses on information collected from the patient’s clinical history, as well as a detailed symptom questionnaire, both integrated into a telemedicine system developed by the authors and installed in the marginalized areas of northern Veracruz, Mexico. The effectiveness of the artificial neural network is evaluated to determine its accuracy in detecting diseases, through tests carried out on the algorithm. The high precision obtained in the diagnosis of the artificial neural network supports it as an efficient complementary technological tool. The results obtained are contrasted with the disease diagnoses issued by specialist doctors, thus establishing the validity and reliability of the neural network in this specific context of medical care in marginalized areas.es_ES
URIhttps://riuat.uat.edu.mx/handle/123456789/5797
Idiomaeses_ES
EditorialAssociacao Iberica de Sistemas e Tecnologias de Informacaoes_ES
RelaciónRISTI - Revista Iberica de Sistemas e Tecnologias de Informacaoes_ES
URL relacionadohttps://www.scopus.com/pages/publications/85200743876?origin=resultslistes_ES
DerechosAcceso restringido / Suscripción (Metadatos de producción científica)es_ES
Licenciahttp://purl.org/coar/access_right/c_16eces_ES
FuenteRISTI - Revista Iberica de Sistemas e Tecnologias de Informacao
Palabra claveartificial intelligencees_ES
Palabra clavedisease predictiones_ES
Palabra claveintelligent medicinees_ES
Palabra claveneural networkses_ES
Palabra clavesoftwarees_ES
TítuloCreation of an artificial neural network model to predict diseases based on patient symptomatologyes_ES
Título alternativoCreación de un modelo de red neuronal artificial para predecir enfermedades basado en sintomatología de pacienteses_ES
TipoArtículoes_ES
ArbitradoHa sido Arbitradoes_ES
AutorGarcía, Guadalupe Esmeralda Rivera
AutorMartínez, Marco Antonio Díaz
AutorLópez, Miriam Janet Cervantes
AutorCastillo, Arturo Llanes
AutorCasados, Jaime Cruz
AutorGarcía, Guadalupe Esmeralda Riveraes_ES
AutorMartínez, Marco Antonio Díazes_ES
AutorLópez, Miriam Janet Cervanteses_ES
AutorCastillo, Arturo Llaneses_ES
AutorCasados, Jaime Cruzes_ES
InstituciónUniversidad Autónoma de Tamaulipas
InstituciónUniversidad Autónoma de Tamaulipases_ES
NúmeroE70es_ES
Rango de páginas129-142es_ES
URL relacionadahttps://www.scopus.com/pages/publications/85200743876?origin=resultslist
Tipo de artículoIndexado
Tipo de artículoIndexadoes_ES
Volumen2024es_ES

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