A retrospective study of 364 hospitalized children found that a Random Forest model combining CT features with electronic ...
A model-development study using 471 specialist nurse samples achieved an AUC of 0.766 for distinguishing stated transfer ...
A new model accurately reproduces aspects of polar vortex behavior, extracting indicators of imminent vortex collapse and accompanying frigid weather in North America and Europe.
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 ...
1don MSN
AI model developed to predict liver cancer immunotherapy effectiveness from a single drop of blood
“AI model developed to predict liver cancer immunotherapy effectiveness from a single drop of blood” ...
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 ...
Among ventilated adults who underwent extubation, 18.7% were high risk for extubation failure per machine learning even though they met traditional low-risk criteria, according to data presented at ...
A new computational model combined with brain imaging data reveals that relying too heavily on prior expectations when ...
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 ...
"Which products will sell, and how many, next month?""How many hours will this task take?""Can we identify conditions prone ...
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