Identification of target groups and individuals for adherence interventions using tree-based prediction models
Background: In chronically ill patients, medication adherence during implementation can be crucial for treatment success and can decrease health costs. In some populations, regression models do not show this relationship. We aim to estimate subgroup-specific and personalized effects to identify targ...
Main Authors: | Johannes Wendl, Andreas Simon, Martin Kistler, Jana Hapfelmeier, Antonius Schneider, Alexander Hapfelmeier |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2022-10-01
|
Series: | Frontiers in Pharmacology |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fphar.2022.1001038/full |
Similar Items
-
Slope Stability Classification under Seismic Conditions Using Several Tree-Based Intelligent Techniques
by: Panagiotis G. Asteris, et al.
Published: (2022-02-01) -
Cross-validated tree-based models for multi-target learning
by: Yehuda Nissenbaum, et al.
Published: (2024-02-01) -
Treatment Costs of Colorectal Cancer by Sex and Age: Population-Based Study on Health Insurance Data from Germany
by: Thomas Heisser, et al.
Published: (2022-08-01) -
Optimizing Pension Participation in Kenya through Predictive Modeling: A Comparative Analysis of Tree-Based Machine Learning Algorithms and Logistic Regression Classifier
by: Nelson Kemboi Yego, et al.
Published: (2023-04-01) -
Performance Evaluation of Deep Learning-Based Gated Recurrent Units (GRUs) and Tree-Based Models for Estimating ETo by Using Limited Meteorological Variables
by: Mohammad Taghi Sattari, et al.
Published: (2020-06-01)