Use of neural network models to predict liver transplantation waitlist mortality.

Nagai, Shunji; Nallabasannagari, Anubhav Reddy; Moonka, Dilip; Reddiboina, Madhu; Yeddula, Sirisha; Kitajima, Toshihiro; Francis, Iman; Abouljoud, Marwan

Nagai, Shunji; Nallabasannagari, Anubhav Reddy; Moonka, Dilip; Reddiboina, Madhu; Yeddula, Sirisha; Kitajima, Toshihiro; Francis, Iman; Abouljoud, Marwan.

Affiliation

Nagai S; 24016Division of Transplant and Hepatobiliary SurgeryHenry Ford HospitalDetroitMichiganUSA.
Nallabasannagari AR; Henry Ford Transplant InstituteDetroitMichiganUSA.
Moonka D; RediMinds, Inc.SouthfieldMichiganUSA.
Reddiboina M; Henry Ford Transplant InstituteDetroitMichiganUSA.
Yeddula S; 24016Division of Gastroenterology and HepatologyHenry Ford HospitalDetroitMichiganUSA.
Kitajima T; RediMinds, Inc.SouthfieldMichiganUSA.
Francis I; Henry Ford Transplant InstituteDetroitMichiganUSA.
Abouljoud M; 24016Division of Transplant and Hepatobiliary SurgeryHenry Ford HospitalDetroitMichiganUSA.

Liver Transpl ; 28(7): 1133-1143, 2022 07.

Article in En | MEDLINE | ID: mdl-35224855

Subject(s)

End Stage Liver Disease; Liver Transplantation; End Stage Liver Disease/diagnosis; End Stage Liver Disease/surgery; Humans; Liver Transplantation/adverse effects; Neural Networks, Computer; Severity of Illness Index; Waiting Lists

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Liver Transplantation / End Stage Liver Disease Type of study: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Liver Transpl Journal subject: GASTROENTEROLOGIA / TRANSPLANTE Year: 2022 Document type: Article Country of publication: United States

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