This paper is in the following e-collection/theme issue:

Decision Support for Health Professionals (1210) Clinical Information and Decision Making (1434)

Published on in Vol 2, No 2 (2014): Jul-Dec

A Validation of an Intelligent Decision-Making Support System for the Nutrition Diagnosis of Bariatric Surgery Patients

A Validation of an Intelligent Decision-Making Support System for the Nutrition Diagnosis of Bariatric Surgery Patients

A Validation of an Intelligent Decision-Making Support System for the Nutrition Diagnosis of Bariatric Surgery Patients

Authors of this article:

Magda RR Cruz1 ;   Cristina Martins2 ;   João Dias3 ;   José S Pinto4
Article Authors Cited by (9) Tweetations (1) Metrics

Journals

  1. Pfistermeister B, Sedlmayr B, Patapovas A, Suttner G, Tektas O, Tarkhov A, Kornhuber J, Fromm M, Bürkle T, Prokosch H, Maas R. Development of a Standardized Rating Tool for Drug Alerts to Reduce Information Overload. Methods of Information in Medicine 2016;55(06):507 View
  2. Cao Y, Raoof M, Szabo E, Ottosson J, Näslund I. Using Bayesian Networks to Predict Long-Term Health-Related Quality of Life and Comorbidity after Bariatric Surgery: A Study Based on the Scandinavian Obesity Surgery Registry. Journal of Clinical Medicine 2020;9(6):1895 View
  3. Enrione E, Reed D, Myers E. Limited Agreement on Etiologies and Signs/Symptoms among Registered Dietitian Nutritionists in Clinical Practice. Journal of the Academy of Nutrition and Dietetics 2016;116(7):1178 View
  4. Chew H, Ang W, Lau Y. The potential of artificial intelligence in enhancing adult weight loss: a scoping review. Public Health Nutrition 2021;24(8):1993 View
  5. Pantelis A, Stravodimos G, Lapatsanis D. A Scoping Review of Artificial Intelligence and Machine Learning in Bariatric and Metabolic Surgery: Current Status and Future Perspectives. Obesity Surgery 2021;31(10):4555 View
  6. Shrivastava R, Singhal M, Gupta M, Joshi A. Development of an Artificial Intelligence–Guided Citizen-Centric Predictive Model for the Uptake of Maternal Health Services Among Pregnant Women Living in Urban Slum Settings in India: Protocol for a Cross-sectional Study With a Mixed Methods Design. JMIR Research Protocols 2023;12:e35452 View
  7. Bellini V, Valente M, Turetti M, Del Rio P, Saturno F, Maffezzoni M, Bignami E. Current Applications of Artificial Intelligence in Bariatric Surgery. Obesity Surgery 2022;32(8):2717 View
  8. Kenig N, Monton Echeverria J, Muntaner Vives A. Artificial Intelligence in Surgery: A Systematic Review of Use and Validation. Journal of Clinical Medicine 2024;13(23):7108 View

Books/Policy Documents

  1. G. Pantelis A. Bariatric Surgery - Past and Present. View