Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...

Financial word of the day: Heteroscedasticity describes a situation where risk (variance) changes with the level of a ...

Patients with depressive symptoms and asthma had elevated levels of serum brain-derived neurotrophic factor in association ...

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...

Background Early graft failure within 90 postoperative days is the leading cause of mortality after heart transplantation. Existing risk scores, based on linear regression, often struggle to capture ...

Introduction Duplicate medical records occur when a single patient is assigned multiple medical record numbers within an ...

Explore how AI-powered forensic data audits can enhance data literacy and improve air quality measurements for socio-economic ...

Objective: To address concerns about payment adequacy in Medicare Advantage (MA) plans, a 2017 federal policy change increased risk scores and associated capitated payments for community-dwelling ...

By Priyanjana Pramanik, MSc. New research in U.S. firefighters reveals how workplace practices, personal factors, and environmental exposures shape PFAS levels, offering insights into practical ...

Gophen, M. and Peres, M. (2026) Chill Hours Record: A Sensitive Method for Climate Change Indication. Open Journal of Modern ...

Predictors of Opioid Use among Active-Duty Soldiers Following Postoperative Prescription. Pain Studies and Treatment, 14, ...

Embodied AI is central to modern autonomous driving systems. These systems do not merely perceive the environment; they reason, decide, and execute actions in the physical world. This tight coupling ...