Big data and LASSO improve health insurance risk prediction

FAYETTEVILLE, GA, UNITED STATES, February 6, 2026 /EINPresswire.com/ -- A study in Risk Sciences examines whether ...
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Big data approach makes plant predictions more accurate

Large amounts of data ("big data") offer enormous potential for improving the accuracy of genome-wide predictions in plant breeding. Encouraged by successful results with wheat hybrids, researchers at ...
Science Daily

New prediction breakthrough delivers results shockingly close to reality

Researchers have created a prediction method that comes startlingly close to real-world results. It works by aiming for strong alignment with actual values rather than simply reducing mistakes. Tests ...
Open Heart

Enhanced cardiovascular disease risk prediction using integrated machine learning models: a study from the UK Biobank cohort

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...
University of California, San Francisco

AI Bots Accurately Analyze Big Data Set to Predict Preterm Birth

A team of UCSF researchers successfully tested several mainstream AI agents for the ability to analyze big data on women's ...
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 ...
Booth School of Business

Turning Weak Signals into Strong Predictions

In fields including computer science and data science, it is common practice when predicting outcomes such as customer churn or image recognition to focus on variables with the highest predictive ...
Rochester Institute of Technology

Researchers develop new method for predicting chaos

RIT researchers publish a paper in Nature Scientific Reports on a new tree-based machine learning algorithm used to predict chaos.