[HTML][HTML] Feature selection and importance of predictors of non-communicable diseases medication adherence from machine learning research perspectives
W Kanyongo, AE Ezugwu - Informatics in Medicine Unlocked, 2023 - Elsevier
Medication nonadherence is a significant public health concern that leads to ineffective
treatment, which in turn engenders complications such as increased morbidity risks …
treatment, which in turn engenders complications such as increased morbidity risks …
Endogenous opiates and behavior: 2021
RJ Bodnar - Peptides, 2023 - Elsevier
This paper is the forty-fourth consecutive installment of the annual anthological review of
research concerning the endogenous opioid system, summarizing articles published during …
research concerning the endogenous opioid system, summarizing articles published during …
Effectiveness of Artificial Intelligence (AI) in Clinical Decision Support Systems and Care Delivery
This review aims to assess the effectiveness of AI-driven CDSSs on patient outcomes and
clinical practices. A comprehensive search was conducted across PubMed, MEDLINE, and …
clinical practices. A comprehensive search was conducted across PubMed, MEDLINE, and …
Machine learning for predicting risk of early dropout in a recovery program for opioid use disorder
Background: An increase in opioid use has led to an opioid crisis during the last decade,
leading to declarations of a public health emergency. In response to this call, the Houston …
leading to declarations of a public health emergency. In response to this call, the Houston …
[HTML][HTML] Decision support systems in healthcare: systematic review, meta-analysis and prediction, with example of COVID-19
HB Khalfallah, M Jelassi, J Demongeot… - AIMS …, 2023 - aimspress.com
We conducted a systematic review using PRISMA (Preferred Reporting Items for Systematic
Reviews and Meta-Analysis) guidelines of articles published until September 2022 from …
Reviews and Meta-Analysis) guidelines of articles published until September 2022 from …
An explainable machine learning framework for predicting the risk of buprenorphine treatment discontinuation for opioid use disorder among commercially insured …
J Al Faysal, M Noor-E-Alam, GJ Young… - Computers in Biology …, 2024 - Elsevier
Objectives Buprenorphine is an effective evidence-based medication for opioid use disorder
(OUD). Yet premature discontinuation undermines treatment effectiveness, increasing the …
(OUD). Yet premature discontinuation undermines treatment effectiveness, increasing the …
Is use of opioid agonist treatment associated with broader primary healthcare use among men with recent injecting drug use histories following release from prison? A …
Background A precipitous decline in health status among people recently released from
prison is common. In Victoria, Australia, opioid agonist treatment (OAT) in the community …
prison is common. In Victoria, Australia, opioid agonist treatment (OAT) in the community …
Regional divergent evolution of vegetation greenness and climatic drivers in the Sahel-Sudan-Guinea region: nonlinearity and explainable machine learning
Introduction The vegetation dynamics of the Sahel-Sudan-Guinea region in Africa, one of the
largest transition zones between arid and humid zones, is of great significance for …
largest transition zones between arid and humid zones, is of great significance for …
Opioid Nonadherence Risk Prediction of Patients with Cancer‐Related Pain Based on Five Machine Learning Algorithms
J Liu, J Luo, X Chen, J Xie, C Wang… - Pain Research and …, 2024 - Wiley Online Library
Objectives. Opioid nonadherence represents a significant barrier to cancer pain treatment
efficacy. However, there is currently no effective prediction method for opioid adherence in …
efficacy. However, there is currently no effective prediction method for opioid adherence in …
Predictability of buprenorphine‐naloxone treatment retention: A multi‐site analysis combining electronic health records and machine learning
F Nateghi Haredasht, S Fouladvand, S Tate… - …, 2024 - Wiley Online Library
Background and aims Opioid use disorder (OUD) and opioid dependence lead to significant
morbidity and mortality, yet treatment retention, crucial for the effectiveness of medications …
morbidity and mortality, yet treatment retention, crucial for the effectiveness of medications …