IEEE

Novel Predictive Factors to Boost Short-Term Electricity Demand Forecasting Using Machine Learning Models

Abstract: Accurate Short-Term Load Forecasting (STLF) is essential for effective operational planning, particularly for optimizing maintenance schedules, managing power generation capacity, and ...
IEEE

Predicting Knee Cartilage Degradation and Osteoarthritis Onset Using a Hybrid Mathematical Modeling and Machine Learning Framework

Abstract: Osteoarthritis (OA) is the most prevalent form of arthritis, commonly affecting the knee joint and characterized by the progressive degeneration of articular cartilage (AC). Among the ...
Frontiers

Development and external validation of machine-learning based models to predict diabetic foot ulcer in diabetes population

Background: Diabetic foot ulcer (DFU) is a common and serious complication in patients with diabetes, which affects the quality of life greatly as well as brings high risk for mortality.
Medical Xpress

Using genetics to predict who is at risk of developing type 1 diabetes could inform large-scale health studies

A test using genetics to predict who is at the highest risk of developing type 1 diabetes could one day be applied to large-scale health studies, to identify adults who could benefit from new drugs, ...
Frontiers

Machine learning-optimized metabolic biomarker panel for precision screening of early-stage pancreatic cancer in new-onset diabetes

Introduction: New-onset diabetes (NOD) represents a high-risk population for pancreatic ductal adenocarcinoma (PDAC), yet effective early detection tools for this specific subgroup remain an unmet ...