We trained models using logistic regression (LR) and four commonly used ML algorithms to predict NCGC from age-/sex-matched controls in two EHR systems: Stanford University and the University of ...
Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance ...
A machine learning framework can distinguish molecules made by biological processes from those formed through non-biological ...
Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...
Machine learning’s ability to produce actionable results from unstructured data is clearly demonstrated in a study published in the April 2016 volume of The Journal of Biomedical Informatics that used ...
TRAIL Score: A Simple Model to Predict Immunochemotherapy Tolerability in Patients With Diffuse Large B-Cell Lymphoma We trained models using logistic regression (LR) and four commonly used ML ...
A machine learning framework can distinguish molecules made by biological processes from those formed through non-biological ...
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