A retrospective cohort study developed an XGBoost model using five routine clinical indicators to estimate early pregnancy ...
A retrospective study of 186 traumatic brain injury patients found that a model using four admission variables predicted ...
Inside the gut, on the surface of the skin and lining your ears, mouth and nose are colonies of millions of microbes. For ...
When you start learning machine learning, you encounter many terms such as "features," "loss functions," "gradient descent," ...
AI in myeloproliferative neoplasms can grade marrow fibrosis and predict survival, but authors say prospective, ...
Using admission data, a machine learning model detected patients with acute coronary syndrome at high-risk for cardiogenic ...
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 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 ...
A new model accurately reproduces aspects of polar vortex behavior, extracting indicators of imminent vortex collapse and ...
The rapid increase in the availability of genomic data has transformed plant breeding by enabling the prediction of complex ...
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