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Statistics applied in the classification and prediction of depression: A systematic review [Machine learning aplicado en la clasificación y predicción de la depresión: Una revisión sistemática]
dc.contributor.author | Castrillon S.O | |
dc.contributor.author | Marín L.M.G | |
dc.contributor.author | Villegas H.H.J | |
dc.contributor.author | Escobar C.C.P. | |
dc.date.accessioned | 2022-09-14T14:34:09Z | |
dc.date.available | 2022-09-14T14:34:09Z | |
dc.date.created | 2022 | |
dc.identifier.issn | 16469895 | |
dc.identifier.uri | http://hdl.handle.net/11407/7580 | |
dc.description | The main challenge for health insurers is to properly manage the disease as well as the health of its members, emphasizing the prevention and implementation of actions that allow the anticipation and prediction of the disease. This article presents a systematic review of the literature on the main machine learning methodologies that allow, through the prediction of mental illnesses, to carry out an early intervention. It was found that the main methodologies for this purpose are statistical models such as logistic regression, Vector support machine and random forest; and that the different indicators of neuroimaging use of cell phonesbecome fundamental predictor variables when it comes to predicting mental illnesses. © 2022, Associacao Iberica de Sistemas e Tecnologias de Informacao. All rights reserved. | eng |
dc.language.iso | spa | |
dc.publisher | Associacao Iberica de Sistemas e Tecnologias de Informacao | |
dc.relation.isversionof | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85127594818&partnerID=40&md5=a8b4f64be78833e1ff7345a0c34367e3 | |
dc.source | RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao | |
dc.title | Statistics applied in the classification and prediction of depression: A systematic review [Machine learning aplicado en la clasificación y predicción de la depresión: Una revisión sistemática] | |
dc.type | Review | |
dc.rights.accessrights | info:eu-repo/semantics/restrictedAccess | |
dc.publisher.program | Ingeniería de Sistemas | |
dc.publisher.program | Ciencias Básicas | |
dc.type.spa | Revisión | |
dc.subject.keyword | Depression | eng |
dc.subject.keyword | Machine learning | eng |
dc.subject.keyword | Systematic review | eng |
dc.relation.citationissue | Special Issue 47 | |
dc.relation.citationstartpage | 363 | |
dc.relation.citationendpage | 375 | |
dc.publisher.faculty | Facultad de Ingenierías | |
dc.publisher.faculty | Facultad de Ciencias Básicas | |
dc.affiliation | Castrillon, S.O., Maestría en modelación y ciencia computacional, Universidad de Medellín, Sabaneta, 055450, Colombia | |
dc.affiliation | Marín, L.M.G., Profesora titular Facultad de ingenierías, carrera 74 # 41 – 16, Medellín, 050032, Colombia | |
dc.affiliation | Villegas, H.H.J., Universidad de Medellín, grupo Modelación y Computación Científica, Medellín, 050026, Colombia | |
dc.affiliation | Escobar, C.C.P., Universidad de Medellín, grupo Modelación y Computación Científica, Medellín, 050026, Colombia | |
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dc.type.coar | http://purl.org/coar/resource_type/c_dcae04bc | |
dc.type.version | info:eu-repo/semantics/publishedVersion | |
dc.type.driver | info:eu-repo/semantics/review | |
dc.identifier.reponame | reponame:Repositorio Institucional Universidad de Medellín | |
dc.identifier.repourl | repourl:https://repository.udem.edu.co/ | |
dc.identifier.instname | instname:Universidad de Medellín |
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