Prediction of excess weight loss after laparoscopic Roux-en-Y gastric bypass: data from an artificial neural network

Author:

Wise Eric S.,Hocking Kyle M.,Kavic Stephen M.

Publisher

Springer Science and Business Media LLC

Subject

Surgery

Reference35 articles.

1. Wood GC, Benotti P, Gerhard GS, Miller EK, Zhang Y, Zaccone RJ, Argyropoulos GA, Petrick AT, Still CD (2014) A patient-centered electronic tool for weight loss outcomes after Roux-en-Y gastric bypass. J Obes 2014:364941

2. Colquitt JL, Pickett K, Loveman E, Frampton GK (2014) Surgery for weight loss in adults. Cochrane Database Syst Rev 8:CD003641

3. Carter J, Elliott S, Kaplan J, Lin M, Posselt A, Rogers S (2015) Predictors of hospital stay following laparoscopic gastric bypass: analysis of 9593 patients from the National Surgical Quality Improvement Program. Surg Obes Relat Dis 11:288–294

4. Tadross JA, le Roux CW (2009) The mechanisms of weight loss after bariatric surgery. Int J Obes 33(Suppl 1):S28–s32

5. Levine MS, Carucci LR (2014) Imaging of bariatric surgery: normal anatomy and postoperative complications. Radiology 270:327–341

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