Enhancing the Value of Population-Based Risk Scores for Institutional-Level Use-Reference-Cited by-同舟云学术

Enhancing the Value of Population-Based Risk Scores for Institutional-Level Use

Published:2016-07 Issue:1 Volume:102 Page:70-77
ISSN:0003-4975
Container-title:The Annals of Thoracic Surgery
language:en
Short-container-title:The Annals of Thoracic Surgery

Author:

Raza Sajjad,Sabik Joseph F.,Rajeswaran Jeevanantham,Idrees Jay J.,Trezzi Matteo,Riaz Haris,Javadikasgari Hoda,Nowicki Edward R.,Svensson Lars G.,Blackstone Eugene H.

Publisher

Elsevier BV

Subject

Cardiology and Cardiovascular Medicine,Pulmonary and Respiratory Medicine,Surgery

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5. The Society of Thoracic Surgeons 2008 cardiac surgery risk models: part 2—isolated valve surgery;O’Brien;Ann Thorac Surg,2009

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1. Machine learning using institution-specific multi-modal electronic health records improves mortality risk prediction for cardiac surgery patients;JTCVS Open;2023-06

2. Redefining “low risk”: Outcomes of surgical aortic valve replacement in low-risk patients in the transcatheter aortic valve replacement era;The Journal of Thoracic and Cardiovascular Surgery;2023-02

3. Institution-Specific Machine Learning Models Improve Mortality Risk Prediction for Cardiac Surgery Patients;SSRN Electronic Journal;2022

4. Trends in Coronary Revascularization and Ischemic Heart Disease–Related Mortality in Israel;Journal of the American Heart Association;2017-02-02