Prediction of pharmaceutical and nonpharmaceutical expenditures associated with Diabetes Mellitus type II based on clinical risk

Objetivo: Evaluar la efectividad de diferentes modelos de aprendizaje automático en la estimación de los gastos farmacéuticos y no farmacéuticos asociados al diagnóstico de Diabetes Mellitus tipo II, a partir del índice de riesgo clínico determinado por el análisis de comorbilidades.

Autores:
Tipo de recurso:
Fecha de publicación:
2024
Institución:
Universidad del Rosario
Repositorio:
Repositorio EdocUR - U. Rosario
Idioma:
eng
OAI Identifier:
oai:repository.urosario.edu.co:10336/42938
Acceso en línea:
https://doi.org/10.1371/journal.pone.0301860
https://repository.urosario.edu.co/handle/10336/42938
Palabra clave:
Modelos de aprendizaje automático
Gastos farmacéuticos
Gatos no farmacéuticos
Diabetes Mellitus tipo II
Riesgo clínico
Machine Learning Models
Pharmaceutical Expenditures
Non-Pharmaceutical Cats
Type II Diabetes Mellitus
Clinical Risk
Rights
License
Attribution-NonCommercial-NoDerivatives 4.0 International
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spelling f0519175-cc14-4066-aa1b-fb05619bb33338f5d7d9-4077-4c3e-a8c7-20af31c02e6374591435-e25e-4da5-974e-e08f2d87afce32f18921-8412-43dc-8900-ef7f243d38e5357feaf0-64bf-4581-bea9-189c127a0d484301743c-4199-485b-8769-445ac32532442024-07-08T18:49:45Z2024-07-08T18:49:45Z1/06/20241/06/2024Objetivo: Evaluar la efectividad de diferentes modelos de aprendizaje automático en la estimación de los gastos farmacéuticos y no farmacéuticos asociados al diagnóstico de Diabetes Mellitus tipo II, a partir del índice de riesgo clínico determinado por el análisis de comorbilidades.Objective: To assess the effectiveness of different machine learning models in estimating the pharmaceutical and non-pharmaceutical expenditures associated with Diabetes Mellitus type II diagnosis, based on the clinical risk index determined by the analysis of comorbidities.application/pdfhttps://doi.org/10.1371/journal.pone.0301860https://repository.urosario.edu.co/handle/10336/42938engPLOSPLOS ONEAttribution-NonCommercial-NoDerivatives 4.0 InternationalAbierto (Texto Completo)http://creativecommons.org/licenses/by-nc-sa/4.0/http://purl.org/coar/access_right/c_abf2PLOS ONEinstname:Universidad del Rosarioreponame:Repositorio Institucional EdocURModelos de aprendizaje automáticoGastos farmacéuticosGatos no farmacéuticosDiabetes Mellitus tipo IIRiesgo clínicoMachine Learning ModelsPharmaceutical ExpendituresNon-Pharmaceutical CatsType II Diabetes MellitusClinical RiskPrediction of pharmaceutical and nonpharmaceutical expenditures associated with Diabetes Mellitus type II based on clinical riskarticleArtículo de Investigaciónhttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_6501Gonzalez-Rodriguez J-L.Franco C.Pinzón-Espitia O.Caballer V.Alfonso-Lizarazo E.Augusto V.ORIGINALPrediction of pharmaceutical and non-pharmaceutical expenditures associated with Diabetes Mellitus type II based on clinical risk.pdfapplication/pdf624545https://repository.urosario.edu.co/bitstreams/6f22489b-83e3-4400-836c-2b88db53f22c/downloadc8e136f2beb4d2a962f58f5ccad85deaMD51TEXTPrediction of pharmaceutical and non-pharmaceutical expenditures associated with Diabetes Mellitus type II based on clinical risk.pdf.txtPrediction of pharmaceutical and non-pharmaceutical expenditures associated with Diabetes Mellitus type II based on clinical risk.pdf.txtExtracted texttext/plain65064https://repository.urosario.edu.co/bitstreams/75675e64-6906-4898-93de-ef5de372edc2/downloadb702af909109b65e0d8ece91d779ee42MD52THUMBNAILPrediction of pharmaceutical and non-pharmaceutical expenditures associated with Diabetes Mellitus type II based on clinical risk.pdf.jpgPrediction of pharmaceutical and non-pharmaceutical expenditures associated with Diabetes Mellitus type II based on clinical risk.pdf.jpgGenerated Thumbnailimage/jpeg4286https://repository.urosario.edu.co/bitstreams/05ad0aea-6674-47a3-ac8e-aaedc2d706b0/downloadccf00a5ccc58217e5d751e4b09fb2be2MD5310336/42938oai:repository.urosario.edu.co:10336/429382024-07-09 03:02:03.546http://creativecommons.org/licenses/by-nc-sa/4.0/Attribution-NonCommercial-NoDerivatives 4.0 Internationalhttps://repository.urosario.edu.coRepositorio institucional EdocURedocur@urosario.edu.co
dc.title.spa.fl_str_mv Prediction of pharmaceutical and nonpharmaceutical expenditures associated with Diabetes Mellitus type II based on clinical risk
title Prediction of pharmaceutical and nonpharmaceutical expenditures associated with Diabetes Mellitus type II based on clinical risk
spellingShingle Prediction of pharmaceutical and nonpharmaceutical expenditures associated with Diabetes Mellitus type II based on clinical risk
Modelos de aprendizaje automático
Gastos farmacéuticos
Gatos no farmacéuticos
Diabetes Mellitus tipo II
Riesgo clínico
Machine Learning Models
Pharmaceutical Expenditures
Non-Pharmaceutical Cats
Type II Diabetes Mellitus
Clinical Risk
title_short Prediction of pharmaceutical and nonpharmaceutical expenditures associated with Diabetes Mellitus type II based on clinical risk
title_full Prediction of pharmaceutical and nonpharmaceutical expenditures associated with Diabetes Mellitus type II based on clinical risk
title_fullStr Prediction of pharmaceutical and nonpharmaceutical expenditures associated with Diabetes Mellitus type II based on clinical risk
title_full_unstemmed Prediction of pharmaceutical and nonpharmaceutical expenditures associated with Diabetes Mellitus type II based on clinical risk
title_sort Prediction of pharmaceutical and nonpharmaceutical expenditures associated with Diabetes Mellitus type II based on clinical risk
dc.subject.spa.fl_str_mv Modelos de aprendizaje automático
Gastos farmacéuticos
Gatos no farmacéuticos
Diabetes Mellitus tipo II
Riesgo clínico
topic Modelos de aprendizaje automático
Gastos farmacéuticos
Gatos no farmacéuticos
Diabetes Mellitus tipo II
Riesgo clínico
Machine Learning Models
Pharmaceutical Expenditures
Non-Pharmaceutical Cats
Type II Diabetes Mellitus
Clinical Risk
dc.subject.keyword.eng.fl_str_mv Machine Learning Models
Pharmaceutical Expenditures
Non-Pharmaceutical Cats
Type II Diabetes Mellitus
Clinical Risk
description Objetivo: Evaluar la efectividad de diferentes modelos de aprendizaje automático en la estimación de los gastos farmacéuticos y no farmacéuticos asociados al diagnóstico de Diabetes Mellitus tipo II, a partir del índice de riesgo clínico determinado por el análisis de comorbilidades.
publishDate 2024
dc.date.created.spa.fl_str_mv 1/06/2024
dc.date.issued.spa.fl_str_mv 1/06/2024
dc.date.accessioned.none.fl_str_mv 2024-07-08T18:49:45Z
dc.date.available.none.fl_str_mv 2024-07-08T18:49:45Z
dc.type.spa.fl_str_mv article
dc.type.coarversion.fl_str_mv http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.coar.fl_str_mv http://purl.org/coar/resource_type/c_6501
dc.type.spa.spa.fl_str_mv Artículo de Investigación
dc.identifier.doi.spa.fl_str_mv https://doi.org/10.1371/journal.pone.0301860
dc.identifier.uri.none.fl_str_mv https://repository.urosario.edu.co/handle/10336/42938
url https://doi.org/10.1371/journal.pone.0301860
https://repository.urosario.edu.co/handle/10336/42938
dc.language.iso.spa.fl_str_mv eng
language eng
dc.relation.ispartof.spa.fl_str_mv PLOS ONE
dc.rights.spa.fl_str_mv Attribution-NonCommercial-NoDerivatives 4.0 International
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dc.rights.acceso.spa.fl_str_mv Abierto (Texto Completo)
dc.rights.uri.spa.fl_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
rights_invalid_str_mv Attribution-NonCommercial-NoDerivatives 4.0 International
Abierto (Texto Completo)
http://creativecommons.org/licenses/by-nc-sa/4.0/
http://purl.org/coar/access_right/c_abf2
dc.format.mimetype.spa.fl_str_mv application/pdf
dc.publisher.spa.fl_str_mv PLOS
dc.source.spa.fl_str_mv PLOS ONE
institution Universidad del Rosario
dc.source.instname.spa.fl_str_mv instname:Universidad del Rosario
dc.source.reponame.spa.fl_str_mv reponame:Repositorio Institucional EdocUR
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