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Predicting healthcare cost of diabetes using machine learning models
| dc.creator | González Rodríguez, Javier Leonardo | |
| dc.creator | Díaz Carnicereo, Javier | spa |
| dc.creator | Vivas Consuelo, David | spa |
| dc.creator | González de Julian, Silvia | spa |
| dc.creator | Pinzón Espitia, Olga Lucia | spa |
| dc.date.accessioned | 2020-09-11T21:06:48Z | |
| dc.date.available | 2020-09-11T21:06:48Z | |
| dc.date.created | 2019-07 | spa |
| dc.description.abstract | 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. | eng |
| dc.format.mimetype | application/pdf | |
| dc.identifier.isbn | ISBN: 978-84-09-16428-8 | spa |
| dc.identifier.uri | https://repository.urosario.edu.co/handle/10336/29889 | |
| dc.language.iso | eng | |
| dc.publisher | Universitat Politécnica de Valncia | spa |
| dc.relation.citationEndPage | 104 | |
| dc.relation.citationStartPage | 99 | |
| dc.relation.citationTitle | Modelling for Engineering & Human Behaviour 2019 | |
| dc.relation.ispartof | Predicting healthcare cost of diabetes using machine learning models,ISBN: 978-84-09-16428-8, (2019); pp. 99- 104 | spa |
| dc.relation.uri | https://www.valueinhealthjournal.com/article/S1098-3015(19)33281-4/fulltext | spa |
| dc.rights.accesRights | info:eu-repo/semantics/openAccess | |
| dc.rights.acceso | Abierto (Texto Completo) | spa |
| dc.source | Modelling for Engineering & Human Behaviour 2019 | spa |
| dc.source.instname | instname:Universidad del Rosario | |
| dc.source.reponame | reponame:Repositorio Institucional EdocUR | |
| dc.subject.keyword | Diabetes mellitus Type II | spa |
| dc.subject.keyword | Infarction | spa |
| dc.subject.keyword | Stroke | spa |
| dc.subject.keyword | Retinopathy | spa |
| dc.subject.keyword | Renal failure | spa |
| dc.title | Predicting healthcare cost of diabetes using machine learning models | spa |
| dc.title.TranslatedTitle | Predecir el costo sanitario de la diabetes mediante modelos de aprendizaje automático | spa |
| dc.type | bookPart | eng |
| dc.type.hasVersion | info:eu-repo/semantics/publishedVersion | |
| dc.type.spa | Parte de libro | spa |



