Evolution of the Data Mining and Machine Learning Techniques Used in Health Care: A Scoping Review

Carmen Cecilia Sanchez Zuleta, Lillyana María Giraldo Marín, Juan Felipe Vélez Gómez, David Sanguino Cotte, César Augusto Vargas López, Fabián Alberto Jaimes Barragán

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

Resumen

The purpose of this scoping review was to observe the evolution of using data mining and machine learning techniques in health care based on the MEDLINE database. We used PRISMA-ScR to observe the techniques evolution and its usage according to the number of scientific publications that reference them from 2000 to 2018. On the basis of the results, we established two search strategies when performing a query about the subject. We also found that the three main techniques used in health care are “cluster,” “support vector machine,” and “neural networks.”

Idioma originalInglés
Título de la publicación alojadaTrends and Applications in Information Systems and Technologies
EditoresÁlvaro Rocha, Hojjat Adeli, Gintautas Dzemyda, Fernando Moreira, Ana Maria Ramalho Correia
EditorialSpringer Science and Business Media Deutschland GmbH
Páginas151-160
Número de páginas10
ISBN (versión impresa)9783030726508
DOI
EstadoPublicada - 2021
EventoWorld Conference on Information Systems and Technologies, WorldCIST 2021 - Terceira Island, Portugal
Duración: 30 mar 20212 abr 2021

Serie de la publicación

NombreAdvances in Intelligent Systems and Computing
Volumen1366 AISC
ISSN (versión impresa)2194-5357
ISSN (versión digital)2194-5365

Conferencia

ConferenciaWorld Conference on Information Systems and Technologies, WorldCIST 2021
PaísPortugal
CiudadTerceira Island
Período30/03/212/04/21

Huella

Profundice en los temas de investigación de 'Evolution of the Data Mining and Machine Learning Techniques Used in Health Care: A Scoping Review'. En conjunto forman una huella única.

Citar esto