Using a Convolutional Neural Network to Predict Remission of Diabetes After Gastric Bypass Surgery: Machine Learning Study From the Scandinavian Obesity Surgery Register.
Dhanisha Jayesh TrivediIngmar NäslundNäslund ErikJohan OttossonScott MontgomeryStenberg ErikPublished in: JMIR medical informatics (2021)
The CNN method had better predictive capability compared to traditional indices for diabetes remission. However, further validation is needed in other countries to evaluate its external generalizability.
Keyphrases
- convolutional neural network
- gastric bypass
- type diabetes
- minimally invasive
- weight loss
- coronary artery bypass
- machine learning
- deep learning
- cardiovascular disease
- glycemic control
- roux en y gastric bypass
- insulin resistance
- disease activity
- surgical site infection
- metabolic syndrome
- obese patients
- ulcerative colitis
- bariatric surgery
- weight gain
- rheumatoid arthritis
- high fat diet induced
- physical activity
- atrial fibrillation