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Paper Details

MySurgeryRisk: Development and Validation of a Machine-learning Risk Algorithm for Major Complications and Death After Surgery.
Ann Surg
159
2019
acute kidney injury, patient, patients, sepsis, venous thromboembolism
Algorithms, Humans, Machine Learning, Postoperative Complications, Preoperative Period, Risk Assessment
Author NameAffiliation
Azra BihoracCollege of Medicine, University of Florida
Azra BihoracUniversity of Florida
Azra BihoracCollege of Medicine, University of Florida
Azra BihoracUniversity of Florida
Tezcan Ozrazgat-BaslantiCollege of Medicine, University of Florida
Tezcan Ozrazgat-BaslantiUniversity of Florida
Tezcan Ozrazgat-BaslantiCollege of Medicine, University of Florida
Tezcan Ozrazgat-BaslantiUniversity of Florida
Ashkan EbadiCollege of Medicine, University of Florida
Ashkan EbadiUniversity of Florida
Amir MotaeiCollege of Medicine, University of Florida
Amir MotaeiUniversity of Florida
Mohcine MadkourCollege of Medicine, University of Florida
Mohcine MadkourUniversity of Florida
Panos M PardalosCollege of Engineering
Panos M PardalosUniversity of Florida
Gloria LiporiUniversity of Florida Health
William R Hogan
William R HoganUniversity of Florida
William R Hogan
William R HoganUniversity of Florida
Philip A EfronCollege of Medicine
Philip A EfronCollege of Medicine
Frederick A MooreCollege of Medicine
Lyle L MoldawerCollege of Medicine
Lyle L MoldawerCollege of Medicine
Daisy Zhe WangCollege of Engineering
Daisy Zhe WangUniversity of Florida
Charles E HobsonDepartment of Health Services Research
Charles E Hobson
Parisa RashidiCollege of Engineering
Parisa RashidiUniversity of Florida
Xiaolin LiCollege of Engineering
Xiaolin LiUniversity of Florida
Petar MomcilovicCollege of Engineering
Petar MomcilovicUniversity of Florida
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