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- W2896185736 abstract "The expected post-operatory weight loss is not always achieved after bariatric surgery. Efforts have been done to describe the causes. Recently, total weight loss (%TWL) has been pointed out to better assess weight loss in bariatric patients. However, there is no cut off point that delimits the patients who successfully achieve their weight goals after a bariatric surgery. In this work, a method based on fuzzy modeling is implemented to help clinicians setting up the best cut-off point in %TWL for a specific population. The best boundary to delimit success and failure will be selected based on the predictive performance of the assessed cut-off points: 25, 30, 35 and 40%TWL after one and two years of surgery. Area under the receiver operating characteristic curve (AUC) values of 0.70 and 0.75 were achieved for the first and second post-surgery periods, respectively. Further, features not previously described as predictors of weight loss were identified as good predictors of the outcome." @default.
- W2896185736 created "2018-10-26" @default.
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- W2896185736 date "2018-07-01" @default.
- W2896185736 modified "2023-10-12" @default.
- W2896185736 title "Fuzzy Classification of Bariatric Post-surgery Effectiveness" @default.
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- W2896185736 doi "https://doi.org/10.1109/fuzz-ieee.2018.8491643" @default.
- W2896185736 hasPublicationYear "2018" @default.
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