Personalized Multimorbidity Management for Patients with Type 2 Diabetes Using Reinforcement Learning of Electronic Health Records

2021/02/11 by Hua Zheng, Ilya O. Ryzhov, Wei Xie +1 · 11 citations
Computer Science · Medicine · #Machine Learning in Healthcare #Chronic Disease Management Strategies #Heart Failure Treatment and Management

paper · pdf · doi:10.1007/s40265-020-01435-4

Citations

• 2019 ACC/AHA Guideline on the Primary Prevention of Cardiovascular Disease: Executive Summary: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines

Cited by

• Diabetes Lifestyle Medicine Treatment Assistance Using Reinforcement Learning
• Learning dynamic treatment strategies for coronary heart diseases by artificial intelligence: real-world data-driven study. [europepmc]
• Hard Voting Ensemble Approach for the Detection of Type 2 Diabetes in Mexican Population with Non-Glucose Related Features. [europepmc]
• Wearable Devices in Cardiovascular Medicine. [europepmc]
• A comprehensive review of machine learning algorithms and their application in geriatric medicine: present and future. [europepmc]
• Exploring the progress of artificial intelligence in managing type 2 diabetes mellitus: a comprehensive review of present innovations and anticipated challenges ahead. [europepmc]
• A scoping review of digital health technologies in multimorbidity management: mechanisms, outcomes, challenges, and strategies. [europepmc]
• Electronic Health Records: A Gateway to AI-Driven Multimorbidity Solutions-A Comprehensive Systematic Review. [europepmc]
• Metabolic dysfunction-associated steatotic liver disease and type 2 diabetes: Pathophysiology, diagnosis, and emerging therapeutic strategies. [europepmc]
• Revolutionizing Multimorbidity Care: A Narrative Review on Artificial Intelligence Applications. [europepmc]
• Balancing metabolic optimization and reproductive safety in Polycystic Ovary Syndrome: a Bayesian-informed framework for GLP-1 receptor agonists. [europepmc]