Pharmacy professor develops AI model to predict hospitalization of at-risk cardiac patients

When Arinze Nkemdirim Okere, PharmD, MBA, worked as the pharmacist for a hospital in Tallahassee, Florida, he noticed that ...
Tech Xplore

Mistaken correlations: Why it's critical to move beyond overly aggregated machine-learning metrics

MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...
Psychiatry Advisor

Accuracy of Machine Learning in Predicting CVD Risk in Bipolar Disease

Models using established cardiovascular disease risk factors had satisfactory predictive performance for 5-year CVD risk in ...

Machine learning can predict patients' responses to antidepressants—while disentangling drug and placebo effects

Depression is one of the most widespread mental health disorders worldwide, affecting approximately 4% of the global ...
IEEE

Machine Learning Approaches for Predicting Power Generation in Wave Energy Converters

Abstract: The potential of wave energy as a renewable energy source is significant, and therefore the development of accurate methods for predicting power output from Wave Energy Converters (WECs) is ...
Multiple Sclerosis News Today

Machine learning model can predict PIRA in first years of MS diagnosis

Machine learning can help predict whether people newly diagnosed with MS will experience disability worsening that occurs ...
Healio

Researchers create AI model to predict sepsis in pediatric EDs

Researchers developed a machine learning model that could identify children in the ED who were at risk for developing sepsis ...

Disinfecting drinking water produces potentially toxic byproducts—new AI model is helping to identify them

Disinfecting drinking water prevents the spread of deadly waterborne diseases by killing infectious agents such as bacteria, ...
Supply Chain Management Review

How AI is shifting global supply chains from reactive to predictive

Predictive orchestration is replacing siloed planning models. AI-powered control towers now integrate procurement, ...
Deixis Online

Machine-learning atoms

An interatomic potential is a set of mathematical rules that describes the complex dance of forces between atoms — how atomic ...
Semiconductor Engineering

Secure Data Sharing Becoming Critical For Chip Manufacturing

Driven by a plethora of benefits, data sharing is gradually becoming a “must have” for advanced device nodes and multi-die ...
IEEE

A Machine Learning Approach to Explore and Predict Student Motivation Types

Abstract: Motivation plays a significant role in shaping students’ educational outcomes. Understanding the factors that influence student motivation is crucial for enhancing academic performance and ...