The American Journal of Managed Care

Predicting Severe Diabetes Complications Using Administrative Claims Data in Maryland

Predictive risk scores created using administrative claims and publicly available social determinants of health data strongly ...
Frontiers

The Applications of AI Techniques in Medical Data Processing

The rapid development of artificial intelligence (AI) technology has become a cornerstone of multidisciplinary research worldwide, establishing a new paradigm of "AI for Science." AI is progressively ...
Scientific Research Publishing

A Multimodal Machine-Learning Framework for Predicting Lithium-Associated Renal Dysfunction from Synthetic Biomarker Trajectories ()

Long-term lithium therapy remains the most effective maintenance treatment for bipolar disorder, yet it poses a significant ...
IEEE

A Comparative Evaluation of Machine Learning Algorithms for Diabetes Prediction

Abstract: Diabetes is a chronic condition that affects how the body processes blood sugar, leading to consistently high blood glucose levels. Predicting diabetes early can go a long way in reducing ...
IEEE

State-of-Health Estimation With Random Constant-Current Charging Segments of a Lithium Battery Using an Improved Transfer Learning Algorithm

Abstract: An accurate state of health (SoH) is important for the optimal performance and safety of Li-ion battery (LIB) storage systems. In this study, an estimation method for SoH based on random ...