Bayes' Theorem: What It Is, Formula, and Examples

Bayes' theorem is a statistical formula used to calculate conditional probability. Learn how it works, how to calculate it ...
The Lancet

When to and when not to use machine learning in risk prediction models

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

Psychological burden and its association with preferred form of psychological assistance of healthcare workers during the COVID-19 pandemic in China: a cross-sectional study

Objective This study focused on the preferences for psychological assistance and associated factors among Chinese healthcare workers (HCWs) during the COVID-19 pandemic. Design Cross-sectional ...
Scientific Research Publishing

Chill Hours Record: A Sensitive Method for Climate Change Indication ()

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

Extreme temperature changes increase number of out-of-hospital cardiac arrests, model finds

Out-of-hospital cardiac arrest, or OHCA, is a leading cause of mortality worldwide and 90% of cases are fatal. Patients lose cardiac function and circulation, and every minute they remain untreated ...

Financial word of the day: Heteroscedasticity — meaning, usage, and why it matters more than ever

Heteroscedasticity describes a situation where risk (variance) changes with the level of a variable. In financial models, ...
Visual Studio Magazine

Linear Regression with Pseudo-Inverse Training Using JavaScript

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 ...
IEEE

NL-WCS: A Novel Data-Driven Algorithm for Extracting the Dynamics of Serial Robots Considering Non-Linear Friction

Abstract: Recently, developed data-driven SINDy-based techniques can identify the dynamic model of serial robots without simplifying assumptions nor pre-knowledge of all kinematics and geometric ...
Arctic Sea Ice

New data set release: ATLAS/ICESat-2 ATL02 Linear Impulse Response, Version 1

ATLAS/ICESat-2 ATL02 Linear Impulse Response, Version 1 is now available at the NASA National Snow and Ice Data Center Distributed Active Archive Center (NSIDC DAAC). This ancillary ICESat-2 data set ...
IEEE

Revealing the Effects of Data Heterogeneity in Federated Learning Regression Models for Short-Term Solar Power Forecasting

Abstract: Accurate short-term power forecasting is crucial for the successful commercialization of solar energy, helping to prevent financial losses in energy markets. Federated learning (FL) offers a ...