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...
- 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
- Rights
- License
- Abierto (Texto Completo)
| Summary: | 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. |
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