Feature selection and importance of predictors of non-communicable diseases medication adherence from machine learning research perspectives
Medication nonadherence is a significant public health concern that leads to ineffective treatment, which in turn engenders complications such as increased morbidity risks, unnecessary hospitalisations, and premature mortality. Technologies of the Fourth Industrial Revolution, such as machine learni...
Main Authors: | Wellington Kanyongo, Absalom E. Ezugwu |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2023-01-01
|
Series: | Informatics in Medicine Unlocked |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2352914823000746 |
Similar Items
-
Machine learning approaches to medication adherence amongst NCD patients: A systematic literature review
by: Wellington Kanyongo, et al.
Published: (2023-01-01) -
Cyber Intrusion Detection System Based on a Multiobjective Binary Bat Algorithm for Feature Selection and Enhanced Bat Algorithm for Parameter Optimization in Neural Networks
by: Waheed Ali H. M. Ghanem, et al.
Published: (2022-01-01) -
A Review of Feature Selection and Its Methods
by: Venkatesh B., et al.
Published: (2019-03-01) -
Exploring the effectiveness of machine learning algorithms for early detection of Type-2 Diabetes Mellitus
by: Gowthami S, et al.
Published: (2024-02-01) -
Medicina, profesión de amor y servicio
by: R. Ferretti.
Published: (2017-05-01)