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

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 le...

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Bibliographic Details
Main Authors: Firdaus Aziz, Sorayya Malek, Adliah Mhd Ali, Mee Sieng Wong, Mogeeb Mosleh, Pozi Milow
Format: Article
Language:English
Published: PeerJ Inc. 2020-03-01
Series:PeerJ
Subjects:
Random forest
Artificial neural network
Self-organizing Map (SOM)
Hypertension
Support Vector Regression
Variable importance
Online Access:https://peerj.com/articles/8286.pdf

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