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
All Time | Last Month | Last Six Months | Last Year
There are currently no tweets available for this article within the specified range.