Determining hypertensive patients’ beliefs towards medication and associations with medication adherence using machine learning methods

BACKGROUND: This study assesses the feasibility of using machine learning methods such as Random Forests (RF), Artificial Neural Networks (ANN), Support Vector Regression (SVR) and Self-Organizing Feature Maps (SOM) to identify and determine factors associated with hypertensive patients’ adherence l...

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Detalles Bibliográficos
Autores principales: Aziz, Firdaus, Malek, Sorayya, Mhd Ali, Adliah, Wong, Mee Sieng, Mosleh, Mogeeb, Milow, Pozi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2020
Materias:
Public Health
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7075362/
https://www.ncbi.nlm.nih.gov/pubmed/32206445
http://dx.doi.org/10.7717/peerj.8286

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7075362/
https://www.ncbi.nlm.nih.gov/pubmed/32206445
http://dx.doi.org/10.7717/peerj.8286

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