Feature selection and importance of predictors of non-communicable diseases medication adherence from machine learning research perspectives-Reference-Cited by-同舟云学术

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Feature selection and importance of predictors of non-communicable diseases medication adherence from machine learning research perspectives

Published:2023 Issue: Volume:38 Page:101232
ISSN:2352-9148
Container-title:Informatics in Medicine Unlocked
language:en
Short-container-title:Informatics in Medicine Unlocked

Author:

Kanyongo Wellington,Ezugwu Absalom E.^ORCID

Publisher

Elsevier BV

Subject

Health Informatics

Reference105 articles.

1. Predicting medication adherence using ensemble learning and deep learning models with large scale healthcare data;Gu;Sci Rep,2021

2. The role of chemokines in hypertension and consequent target organ damage;Rudemiller;Pharmacol Res,2017

3. Medication adherence and persistence according to different antihypertensive drug classes: a retrospective cohort study of 255,500 patients;Schulz;Int J Cardiol,2016

4. Global trends in diabetes complications: a review of current evidence;Harding;Diabetologia,2019

5. Factors affecting medication adherence among patients with rheumatic disorders;Ismail;J Nurs Educ Pract,2017

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