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

Machine Learning (1401) Clinical Information and Decision Making (1340) Perioperative Risk Assessment (13)

Published on in Vol 8, No 5 (2020): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/15992, first published .
Deep Learning Neural Networks to Predict Serious Complications After Bariatric Surgery: Analysis of Scandinavian Obesity Surgery Registry Data

Deep Learning Neural Networks to Predict Serious Complications After Bariatric Surgery: Analysis of Scandinavian Obesity Surgery Registry Data

Deep Learning Neural Networks to Predict Serious Complications After Bariatric Surgery: Analysis of Scandinavian Obesity Surgery Registry Data

Authors of this article:

Yang Cao1 Author Orcid Image ;   Scott Montgomery1, 2, 3 Author Orcid Image ;   Johan Ottosson4 Author Orcid Image ;   Erik Näslund5 Author Orcid Image ;   Erik Stenberg4 Author Orcid Image
Article Authors Cited by (19) Tweetations (2) Metrics

Yang Cao   1 , PhD ;   Scott Montgomery   1, 2, 3 , PhD ;   Johan Ottosson   4 , MD, PhD ;   Erik Näslund   5 , MD, PhD ;   Erik Stenberg   4 , MD, PhD

1 Clinical Epidemiology and Biostatistics, School of Medical Sciences, Örebro University, Örebro, Sweden

2 Clinical Epidemiology Division, Department of Medicine, Karolinska Institutet, Stockholm, Sweden

3 Department of Epidemiology and Public Health, University College London, London, United Kingdom

4 Department of Surgery, Faculty of Medicine and Health, Örebro University, Örebro, Sweden

5 Division of Surgery, Department of Clinical Sciences, Danderyd Hospital, Karolinska Institutet, Stockholm, Sweden

Corresponding Author:

  • Yang Cao, PhD
  • Clinical Epidemiology and Biostatistics
  • School of Medical Sciences
  • Örebro University
  • Campus USÖ
  • Örebro, 70182
  • Sweden
  • Phone: 46 196026236
  • Email: yang.cao@oru.se