Predictive Modeling: Techniques, Uses, and Key Takeaways

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.
IEEE

Recursive-Extended-Least-Squares-Based Model Predictive Position Control for the Planar Switched Reluctance Motor

Abstract: Model predictive position control (MPPC) is a promising control method for planar switched reluctance motors (PSRMs) to achieve high-precision trajectory tracking. However, the control ...
IEEE

Predictive Modeling of Cardiovascular Disease Using Machine Learning: A Comparative Analysis

Abstract: Cardiovascular disease remains one of the leading causes of death worldwide, necessitating the development of efficient diagnostic tools. This study presents a machine learning framework for ...
Frontiers

Comparison of multiple machine learning methods for predicting postoperative hyperglycemia in patients without diabetes undergoing cardiac surgery

Background: Stress-induced hyperglycemia (SHG) represents a significant metabolic complication in non-diabetic cardiac surgery older adult patients, with substantial implications for postoperative ...