Comment on: Predicting readmission after bariatric surgery using machine  learning

Butler et  al. [1] have come up with a novel model for predicting 30-day readmission after metabolic and bariatric surgery (MBS) by using machine learning (ML). The authors make the point that, in the current literature, readmissions are fairly common, occurring 3%–11% of the time after MBS [2], and that s uch readmissions contribute significantly to morbidity and overall health care costs. Traditional calculators, such as the Metabolic and Bariatric Surgery Accreditation and Quality Improvement Program (MBSAQIP) Risk Calculator [3], use linear regression models to predict complications, death, and re admissions.

Source: Surgery for Obesity and Related Diseases - July 8, 2023 Category: Surgery Authors: Ann Rogers Tags: Editorial comment Source Type: research