Development and validation of a weight-loss predictor to assist weight loss management.

ABSTRACT: This study aims to develop and validate a modeling framework to predict long-term weight change on the basis of self-reported weight data. The aim is to enable focusing resources of health systems on individuals that are at risk of not achieving their goals in weight loss interventions, which would help both health professionals and the individuals in weight loss management. The weight loss prediction models were built on 327 participants, aged 21-78, from a Finnish weight coaching cohort, with at least 9 months of self-reported follow-up weight data during weight loss intervention. With these data, we used six machine learning methods to predict weight loss after 9 months and selected the best performing models for implementation as modeling framework. We trained the models to predict eit

SUBMITTER: Biehl A 

PROVIDER: S-EPMC10673897 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature