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 ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

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

A Tampa Bay Rays prospect struggled in 2025, but there is one major reason why the slump is misleading.

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 ...

Most fantasy baseball managers have a draft day horror like this. The rounds are flying by, and things you didn’t expect are ...

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 ...

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 ...

Introduction Ensuring free access to essential medicines is a cornerstone of universal health coverage, yet many countries ...

Background Physical activity has been associated with neuroprotective and immunomodulatory benefits, potentially influencing ...