Logistic regression is a powerful statistical method that is used to model the probability that a set of explanatory (independent or predictor) variables predict data in an outcome (dependent or ...
A machine learning–driven web tool based on 13 standard patient metrics demonstrates strong predictive performance for MASLD, ...
Causal Machine Learning (CML) unites ML techniques with CI in order to take advantage of both approaches’ strengths. CML ...
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 ...
The study’s AI-generated maps showed that the Locride area, located within the Aspromonte Geopark, faced the highest drought ...
Lurie Children’s Hospital of Chicago, and colleagues developed machine learning models to estimate the ... under the receiver operating characteristic (AUROC) of 0.92 for logistic regression and 0.94 ...
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