A machine-learned model for predicting weight loss success using weight change features early in treatment
Stepped-care obesity treatments aim to improve efficiency by early identification of non-responders and adjusting interventions but lack validated models. We trained a random forest classifier to improve the predictive utility of a clinical decision…
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