TY  - JOUR 
AU  - Escuela de Ingenierias Industrial, Informática y Aeroespacial
AU  - Benítez Andrades, José Alberto
AU  - Prada García, María del Camino
AU  - García Fernández, Rubén
AU  - Ballesteros Pomar, María Dolores
AU  - González Alonso, María Inmaculada
AU  - Serrano García, Antonio
AU  - Ingenieria de Sistemas y Automatica
DA  - 2024/03/03
SN  - 2055-2076
UR  - https://hdl.handle.net/10612/19419
AB  - [EN] Objectives Metabolic bariatric surgery is a critical intervention for patients living with obesity and related health issues. Accurate classification and prediction of patient outcomes are vital for optimizing treatment strategies. This study...
LA  - eng
PB  - SAGE PUBLICATIONS LTD
KW  - Informática
KW  - Ingenierías
KW  - Medicina. Salud
KW  - Machine learning
KW  - Bariatric surgery
TI  - Application of machine learning algorithms in classifying postoperative success in metabolic bariatric surgery: Acomprehensive study
DO  - 10.1177/2055207624123927
T2  - Digital Health
VL  - 10
M2  - 20552076241239274
ER  -