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 variable. In financial models, this means volatility is not constant. Most pricing ...

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

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

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 ...

AI systems now operate on a very large scale. Modern deep learning models contain billions of parameters and are trained on large datasets. Therefore, they produce strong accuracy. However, their ...

Targeting victory in a specific competition may well be becoming a sensible strategy, even if it is at the expense of league ...

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

Skilled nursing facilities (SNFs) with a high volume of referred patients with Alzheimer disease and related dementias may work harder to manage care transitions with less availability of resources ...

Central retinal artery occlusion can result in permanent vision loss. Effective treatment is lacking. We conducted a phase 3, double-blind, double-dummy, randomized, controlled trial involving ...

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 ...