A machine-learned model for predicting weight loss success using weight change features early in treatment.

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Bibliographic Details
Title: A machine-learned model for predicting weight loss success using weight change features early in treatment.
Authors: Shahabi F; Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA. farzad.shahabi@northwestern.edu.; Department of Computer Science, McCormick School of Engineering, Northwestern University, Evanston, IL, USA. farzad.shahabi@northwestern.edu., Battalio SL; Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA., Pfammatter AF; College of Education, Health, and Human Sciences, University of Tennessee, Knoxville, TN, USA., Hedeker D; Department of Public Health Sciences, The University of Chicago, Chicago, IL, USA., Spring B; Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA., Alshurafa N; Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.; Department of Computer Science, McCormick School of Engineering, Northwestern University, Evanston, IL, USA.
Source: NPJ digital medicine [NPJ Digit Med] 2024 Nov 29; Vol. 7 (1), pp. 344. Date of Electronic Publication: 2024 Nov 29.
Publication Type: Journal Article
Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101731738 Publication Model: Electronic Cited Medium: Internet ISSN: 2398-6352 (Electronic) Linking ISSN: 23986352 NLM ISO Abbreviation: NPJ Digit Med Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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