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

Decision Support for Health Professionals (1127) Machine Learning (1370) Preoperative Measures for Prevention (30)

Published on in Vol 7, No 4 (2019): Oct-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/14993, first published .
Exploiting Machine Learning Algorithms and Methods for the Prediction of Agitated Delirium After Cardiac Surgery: Models Development and Validation Study

Exploiting Machine Learning Algorithms and Methods for the Prediction of Agitated Delirium After Cardiac Surgery: Models Development and Validation Study

Exploiting Machine Learning Algorithms and Methods for the Prediction of Agitated Delirium After Cardiac Surgery: Models Development and Validation Study

Authors of this article:

Hani Nabeel Mufti1, 2, 3 Author Orcid Image ;   Gregory Marshal Hirsch4 Author Orcid Image ;   Samina Raza Abidi5 Author Orcid Image ;   Syed Sibte Raza Abidi6 Author Orcid Image
Article Authors Cited by (33) Tweetations (7) Metrics

Hani Nabeel Mufti   1, 2, 3 , MD, MSc, CIP, FRCSC ;   Gregory Marshal Hirsch   4 , MD ;   Samina Raza Abidi   5 , MBBS, PhD ;   Syed Sibte Raza Abidi   6 , PhD

1 Division of Cardiac Surgery, Department of Cardiac Sciences, King Faisal Cardiac Center, King Abdulaziz Medical City, Ministry of National Guard Health Affairs - Western Region, Jeddah, Saudi Arabia

2 College of Medicine-Jeddah, King Saud bin Abdulaziz University for Health, Ministry of National Guard Health Affairs, Jeddah, Saudi Arabia

3 King Abdullah International Medical Research Center, Jeddah, Saudi Arabia

4 Department of Surgery, Faculty of Medicine, Dalhousie University, Halifax, NS, Canada

5 Department of Community Health and Epidemiology, Faculty of Medicine, Dalhousie University, Halifax, NS, Canada

6 kNowldge Intensive Computing for Healthcare Enterprise Research Group, Faculty of Computer Science, Dalhousie University, Halifax, NS, Canada

Corresponding Author:

  • Hani Nabeel Mufti, MD, MSc, CIP, FRCSC
  • Division of Cardiac Surgery, Department of Cardiac Sciences, King Faisal Cardiac Center
  • King Abdulaziz Medical City
  • Ministry of National Guard Health Affairs - Western Region
  • PO Box 9515
  • Mail code: 6599
  • Jeddah, 21423
  • Saudi Arabia
  • Phone: 966 122266666 ext 25805
  • Email: muftihn@ngha.med.sa