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

Decision Support for Health Professionals (1185) Machine Learning (1465) Preoperative Measures for Prevention (32)

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 (34) Tweetations (6) Metrics

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Books/Policy Documents

  1. Ebnali M, Zenati M, Dias R. Artificial Intelligence in Clinical Practice. View