Predicting healthcare cost of diabetes using machine learning models

Diabetes mellitus (DM) describes a group of metabolic disorders characterised by high blood glucose levels. People with diabetes have an increased risk of developing several serious lifethreatening health problems resulting in higher medical care costs, reduced quality of life and increased mortalit...

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Autores:
Tipo de recurso:
Fecha de publicación:
2019
Institución:
Universidad del Rosario
Repositorio:
Repositorio EdocUR - U. Rosario
Idioma:
eng
OAI Identifier:
oai:repository.urosario.edu.co:10336/29889
Acceso en línea:
https://repository.urosario.edu.co/handle/10336/29889
Palabra clave:
Diabetes mellitus Type II
Infarction
Stroke
Retinopathy
Renal failure
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License
Abierto (Texto Completo)
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network_name_str Repositorio EdocUR - U. Rosario
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spelling 67580566002b4245d6-1f62-4338-b7a3-945a573d8509-1d0cad454-6f9a-429f-8450-e7257a430a9c-1392aa6b5-716f-4328-a207-3ad0213e6800-196f80ba0-a99b-4f82-a2af-53d70d53e9e1-12020-09-11T21:06:48Z2020-09-11T21:06:48Z2019-07Diabetes mellitus (DM) describes a group of metabolic disorders characterised by high blood glucose levels. People with diabetes have an increased risk of developing several serious lifethreatening health problems resulting in higher medical care costs, reduced quality of life and increased mortality [1] DM, like the majority of non-contagious chronic diseases, is associated with multimorbidity, defined in the growing literature as the existence of two or more chronic conditions [2,3]. Multimorbidity causes a negative impact on both clinical and health indicators and primary health care costs [1,4]. While true that the analysis of multimorbidity in this type of population is relatively new, the tendency towards this approach to the study of chronic diseases is ever increasing.application/pdfISBN: 978-84-09-16428-8https://repository.urosario.edu.co/handle/10336/29889engUniversitat Politécnica de Valncia10499Modelling for Engineering & Human Behaviour 2019Predicting healthcare cost of diabetes using machine learning models,ISBN: 978-84-09-16428-8, (2019); pp. 99- 104https://www.valueinhealthjournal.com/article/S1098-3015(19)33281-4/fulltextAbierto (Texto Completo)http://purl.org/coar/access_right/c_abf2Modelling for Engineering & Human Behaviour 2019instname:Universidad del Rosarioreponame:Repositorio Institucional EdocURDiabetes mellitus Type IIInfarctionStrokeRetinopathyRenal failurePredicting healthcare cost of diabetes using machine learning modelsPredecir el costo sanitario de la diabetes mediante modelos de aprendizaje automáticobookPartParte de librohttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_3248González Rodríguez, Javier LeonardoDíaz Carnicereo, JavierVivas Consuelo, DavidGonzález de Julian, SilviaPinzón Espitia, Olga Lucia10336/29889oai:repository.urosario.edu.co:10336/298892021-06-03 00:52:38.288https://repository.urosario.edu.coRepositorio institucional EdocURedocur@urosario.edu.co
dc.title.spa.fl_str_mv Predicting healthcare cost of diabetes using machine learning models
dc.title.TranslatedTitle.spa.fl_str_mv Predecir el costo sanitario de la diabetes mediante modelos de aprendizaje automático
title Predicting healthcare cost of diabetes using machine learning models
spellingShingle Predicting healthcare cost of diabetes using machine learning models
Diabetes mellitus Type II
Infarction
Stroke
Retinopathy
Renal failure
title_short Predicting healthcare cost of diabetes using machine learning models
title_full Predicting healthcare cost of diabetes using machine learning models
title_fullStr Predicting healthcare cost of diabetes using machine learning models
title_full_unstemmed Predicting healthcare cost of diabetes using machine learning models
title_sort Predicting healthcare cost of diabetes using machine learning models
dc.subject.keyword.spa.fl_str_mv Diabetes mellitus Type II
Infarction
Stroke
Retinopathy
Renal failure
topic Diabetes mellitus Type II
Infarction
Stroke
Retinopathy
Renal failure
description Diabetes mellitus (DM) describes a group of metabolic disorders characterised by high blood glucose levels. People with diabetes have an increased risk of developing several serious lifethreatening health problems resulting in higher medical care costs, reduced quality of life and increased mortality [1] DM, like the majority of non-contagious chronic diseases, is associated with multimorbidity, defined in the growing literature as the existence of two or more chronic conditions [2,3]. Multimorbidity causes a negative impact on both clinical and health indicators and primary health care costs [1,4]. While true that the analysis of multimorbidity in this type of population is relatively new, the tendency towards this approach to the study of chronic diseases is ever increasing.
publishDate 2019
dc.date.created.spa.fl_str_mv 2019-07
dc.date.accessioned.none.fl_str_mv 2020-09-11T21:06:48Z
dc.date.available.none.fl_str_mv 2020-09-11T21:06:48Z
dc.type.eng.fl_str_mv bookPart
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_3248
dc.type.spa.spa.fl_str_mv Parte de libro
dc.identifier.isbn.spa.fl_str_mv ISBN: 978-84-09-16428-8
dc.identifier.uri.none.fl_str_mv https://repository.urosario.edu.co/handle/10336/29889
identifier_str_mv ISBN: 978-84-09-16428-8
url https://repository.urosario.edu.co/handle/10336/29889
dc.language.iso.none.fl_str_mv eng
language eng
dc.relation.citationEndPage.none.fl_str_mv 104
dc.relation.citationStartPage.none.fl_str_mv 99
dc.relation.citationTitle.none.fl_str_mv Modelling for Engineering & Human Behaviour 2019
dc.relation.ispartof.spa.fl_str_mv Predicting healthcare cost of diabetes using machine learning models,ISBN: 978-84-09-16428-8, (2019); pp. 99- 104
dc.relation.uri.spa.fl_str_mv https://www.valueinhealthjournal.com/article/S1098-3015(19)33281-4/fulltext
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.rights.acceso.spa.fl_str_mv Abierto (Texto Completo)
rights_invalid_str_mv Abierto (Texto Completo)
http://purl.org/coar/access_right/c_abf2
dc.format.mimetype.none.fl_str_mv application/pdf
dc.publisher.spa.fl_str_mv Universitat Politécnica de Valncia
dc.source.spa.fl_str_mv Modelling for Engineering & Human Behaviour 2019
institution Universidad del Rosario
dc.source.instname.none.fl_str_mv instname:Universidad del Rosario
dc.source.reponame.none.fl_str_mv reponame:Repositorio Institucional EdocUR
repository.name.fl_str_mv Repositorio institucional EdocUR
repository.mail.fl_str_mv edocur@urosario.edu.co
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