Machine Learning Algorithm Selection for a Clinical Decision Support System Based on a Multicriteria Method

Galo Enrique Valverde Landivar, Jonathan Andrés España Arambulo, Miguel Angel Quiroz Martinez, Maikel Yelandi Leyva Vazquez

Resultado de la investigación: Capítulo del libro/informe/acta de congresoContribución de conferenciarevisión exhaustiva

Resumen

On the current information in the medical area related to cancer analysis, the selection of an optimal Machine Learning algorithm, based on a multicriteria method, for a system that supports clinical decisions is sought. As a methodology, exploratory research and the deductive method were applied to analyze the information from existing articles and ML algorithms' behavior applied in the area of medicine. This research and based on a use case of training and testing of the GLM, SVM, and ANN algorithms for selecting an algorithm. Addition-ally, for clinical decisions, and architecture prototype for medical data collection is presented resulted. Based on AHP and TOPSIS methods Support Vector Machine (SVM) is the best alternative.

Idioma originalInglés
Título de la publicación alojadaHuman Interaction, Emerging Technologies and Future Systems V - Proceedings of the 5th International Virtual Conference on Human Interaction and Emerging Technologies, IHIET 2021 and the 6th IHIET
Subtítulo de la publicación alojadaFuture Systems IHIET-FS 2021
EditoresTareq Ahram, Redha Taiar
EditorialSpringer Science and Business Media Deutschland GmbH
Páginas1002-1010
Número de páginas9
ISBN (versión impresa)9783030855390
DOI
EstadoPublicada - 2022
Evento5th International Virtual Conference on Human Interaction and Emerging Technologies, IHIET 2021 and 6th International Conference on Human Interaction and Emerging Technologies: Future Systems, IHIET-FS 2021 - Virtual, Online
Duración: 27 ago. 202129 ago. 2021

Serie de la publicación

NombreLecture Notes in Networks and Systems
Volumen319
ISSN (versión impresa)2367-3370
ISSN (versión digital)2367-3389

Conferencia

Conferencia5th International Virtual Conference on Human Interaction and Emerging Technologies, IHIET 2021 and 6th International Conference on Human Interaction and Emerging Technologies: Future Systems, IHIET-FS 2021
CiudadVirtual, Online
Período27/08/2129/08/21

Nota bibliográfica

Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

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