Fuzzy classification of bariatric post-surgery effectiveness

Aldo Arévalo, Ricardo Pacheco, Cátia M. Salgado, Saskia van Loon, Arjen Kars Boer, Susana M. Vieira, Uzay Kaymak, João M.C. Sousa

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

1 Citaat (Scopus)


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.

Originele taal-2Engels
Titel2018 IEEE International Conference on Fuzzy Systems, FUZZ 2018 - Proceedings
Plaats van productiePiscataway
UitgeverijInstitute of Electrical and Electronics Engineers
Aantal pagina's8
ISBN van elektronische versie978-1-5090-6020-7
StatusGepubliceerd - 12 okt 2018
Evenement2018 IEEE International Conference on Fuzzy Systems, FUZZ 2018 - Rio de Janeiro, Brazilië
Duur: 8 jul 201813 jul 2018


Congres2018 IEEE International Conference on Fuzzy Systems, FUZZ 2018
StadRio de Janeiro

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