Determining hypertensive patients' beliefs towards medication and associations with medication adherence using machine learning methods
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 levels....
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| Main Authors: | , , , , , |
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| Format: | Article |
| Published: |
PeerJ
2020
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| Subjects: | |
| Online Access: | http://eprints.um.edu.my/36816/ |
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