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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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| Publicat a: | PeerJ |
|---|---|
| Autors principals: | , , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
PeerJ Inc.
2020
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7075362/ https://ncbi.nlm.nih.gov/pubmed/32206445 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.7717/peerj.8286 |
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