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Paper Details

Machine Learning Applications in Solid Organ Transplantation and Related Complications.
Front Immunol
9
2021
human
Clinical Decision-Making, Data Mining, Decision Support Techniques, Diagnosis, Computer-Assisted, Graft Survival, Humans, Machine Learning, Organ Transplantation, Postoperative Complications, Predictive Value of Tests, Risk Assessment, Risk Factors, Therapy, Computer-Assisted, Time Factors, Treatment Outcome
Author NameAffiliation
Jeremy A BalchUniversity of Florida Health
Daniel DelittoJohns Hopkins University
Patrick J TigheUniversity of Florida Health
Patrick J TigheUniversity of Florida Health
Patrick J TigheUniversity of Florida Health
Patrick J TigheUniversity of Florida Health
Patrick J TigheUniversity of Florida Health
Patrick J TigheUniversity of Florida Health
Ali ZarrinparUniversity of Florida Health
Philip A EfronUniversity of Florida Health
Philip A EfronUniversity of Florida Health
Parisa RashidiUniversity of Florida
Parisa RashidiDepartment of Computer and Information Science and Engineering University of Florida
Parisa RashidiUniversity of Florida
Parisa RashidiUniversity of Florida
Gilbert R UpchurchUniversity of Florida Health
Azra BihoracUniversity of Florida
Azra BihoracUniversity of Florida Health
Azra BihoracUniversity of Florida
Azra BihoracUniversity of Florida Health
Tyler J LoftusUniversity of Florida Health
Tyler J LoftusUniversity of Florida
Tyler J LoftusUniversity of Florida Health
Tyler J LoftusUniversity of Florida
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