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Assessment of the Relationship Between Physical Behaviours, Psychological Factors, Medication Use, Body Composition and Weight Regain Following Bariatric Surgery

2022 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB)(2022)

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摘要
Obesity is defined as a body mass index (BMI) of 30 kg/m 2 or greater. Obesity is a complex medical condition characterized by excess body fat that increases the risk of developing co-morbidities like cardiovascular disease (CVD) and diabetes. Excess weight is a global concern with an ever-growing prevalence. This research study aims to develop effective and practical post-surgical guidelines based on clinical data to determine potential predictors of surgical success. With this information, clinicians and patients can work together to minimize long-term weight regain post-surgery. To fulfill this goal, we applied various machine learning (ML) algorithms to model our dataset and provide a list of critical features to target to have more successful long-term weight-loss outcomes. Fortunately, our ML models achieved outstanding Mean Absolute Errors (0.10 - 0.22).
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关键词
Bariatric Surgery,Long-term Weight Regain,Machine Learning
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