AI Decision Tree Flags Which Neurology Patients Are Most Likely to Return to Hospital
A large-scale Jordanian study used an interpretable CHAID decision tree to identify which neurological patients face the highest risk of ...
A large-scale Jordanian study used an interpretable CHAID decision tree to identify which neurological patients face the highest risk of ...
A new Nature Communications study shows that scientific papers, U.S. case law, and patents share similar statistical citation dynamics, which ...
A two-phase study of over 2,500 Jordanian children finds that carefully calibrated simple regression models rival or beat machine-learning approaches ...
Researchers have adapted a two-stage sparse regression method called uniLasso to the UK Biobank, producing polygenic risk scores that match ...
Researchers in Guangzhou built a machine-learning model that combines MRI radiomics and clinical variables to predict lymphovascular invasion in gastric ...
A machine learning study of junior high students in Shanghai finds that negative low-arousal academic emotions are the strongest predictor ...
Machine-learning models combining clinical data and chest CT report features can probabilistically classify lung cancer subtypes in patients presenting with ...
A multicenter study of nearly 6,000 ICU patients with gastrointestinal bleeding shows that hourly blood urea nitrogen trajectories during the ...
A multicenter study shows that an explainable machine learning model combining cardiac CT angiography features with clinical data can predict ...
A new deep learning model called TimePop shows that the exact time a short video is posted carries a powerful ...
© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine