Among critically ill patients with AECOPD, machine learning models using ICU data could help predict their 28-day mortality risk.
A machine-learning model developed by Weill Cornell Medicine investigators may provide clinicians with an early warning of a complication that can occur late in pregnancy. Preeclampsia is a sudden ...
Cost-Effectiveness of Maintaining Higher Stem-Cell Collection Thresholds in the Chimeric Antigen Receptor T-Cell Era for Multiple Myeloma Predicting severe adverse events (SAEs) in oncology is ...
A new study shows that machine-learning models can accurately predict daily crop transpiration using direct plant measurements and environmental data. By training models on seven years of ...
A machine-learning tool built from Swedish national health registry data can predict hip fracture risk with high accuracy ...
Association of the 70-gene assay and homologous recombination deficiency in patients with high risk 2 breast cancers. Model performance by outcome and number of variables. a Concordance index; scores ...
Predicting earthquakes has long been an unattainable fantasy. Factors like odd animal behaviors that have historically been thought to forebode earthquakes are not supported by empirical evidence. As ...
A Selçuk University researcher has compared six machine learning algorithms for predicting front- and rear-side ...
Self-driving cars are often controlled by deep learning models that sometimes fail in unexpected situations. For instance, ...
Water typically moves from the land to the atmosphere through soil evaporation and plant transpiration. This process is ...
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