Prediction of successful weight reduction after bariatric surgery by data mining technologies-Reference-Cited by-同舟云学术

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Prediction of successful weight reduction after bariatric surgery by data mining technologies

Published:2007-09 Issue:9 Volume:17 Page:1235-1241
ISSN:0960-8923
Container-title:Obesity Surgery
language:en
Short-container-title:OBES SURG

Author:

Lee Yi-Chih,Lee Wei-Jei,Lee Tian-Shyug,Lin Yang-Chu,Wang Weu,Liew Phui-Ly,Huang Ming-Te,Chien Ching-Wen

Publisher

Springer Science and Business Media LLC

Subject

Nutrition and Dietetics,Endocrinology, Diabetes and Metabolism,Surgery

Link

http://link.springer.com/content/pdf/10.1007/s11695-007-9322-9.pdf

Reference29 articles.

1. Flegal KM, Carroll MD, Ogden CL et al. Prevalence and trends in obesity among US adults, 1999–2000. JAMA 2002; 288: 1723–7.

2. Brolin RE. Bariatric surgery and long-term control of morbid obesity. JAMA 2002; 288: 2793–6.

3. Sjostrom L, Lindroos AK, Peltonen M et al. Lifestyle, diabetes, and cardiovascular risk factors 10 years after bariatric surgery. N Engl J Med 2004; 352: 2683–93.

4. Ballantyne GH. Measuring outcomes following bariatric surgery: weight loss parameters, improvement in co-morbid conditions, change in quality of life and patient satisfaction. Obes Surg 2003; 13: 954–64.

5. Capella RF, Capella JF. Ethnicity, type of obesity surgery and weight loss. Obes Surg 1993; 3: 375–80.

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