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                                       Details for article 19 of 38 found articles
 
 
  Machine Learning Outperforms Existing Clinical Scoring Tools in the Prediction of Postoperative Atrial Fibrillation During Intensive Care Unit Admission After Cardiac Surgery
 
 
Title: Machine Learning Outperforms Existing Clinical Scoring Tools in the Prediction of Postoperative Atrial Fibrillation During Intensive Care Unit Admission After Cardiac Surgery
Author: Karri, Roshan
Kawai, Andrew
Thong, Yoke Jia
Ramson, Dhruvesh M.
Perry, Luke A.
Segal, Reny
Smith, Julian A.
Penny-Dimri, Jahan C.
Appeared in: Heart lung & circulation
Paging: Volume 30 () nr. 12 pages 1929-1937
Year: 2021
Contents:
Publisher: Australian and New Zealand Society of Cardiac and Thoracic Surgeons (ANZSCTS) and the Cardiac Society of Australia and New Zealand (CSANZ)
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 19 of 38 found articles
 
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