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Tu1507: MACHINE LEARNING IMPROVES MORTALITY PREDICTION IN A PROSPECTIVELY ENROLLED WORLDWIDE COHORT OF >7700 PATIENTS HOSPITALIZED WITH CIRRHOSIS

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Year: 2025
Type: conference-abstract
Source: Gastroenterology
DOI: 10.1016/s0016-5085(25)04186-1
Authors: ASHOK CHOUDHURY, Qing Xie, Mark Topazian, Peter C Hayes, Aldo Torre, Hailemichael Desalegn, Ramazan Idilman, Mario R. Alvares Da Silva, Jacob George, Florence Wong, BRIAN J. BUSH, Scott Silvey, Shiv Kumar Sarin, José Luis Pérez Hérnandez, Dinesh Jothimani, Alper Uysal, Abdullah Emre Yildirim, Jacqueline Cordova-Gallardo, Anand V. Kulkarni, Federico Guillermo Villamil, Gustavo Pereira, Hibat Allah Belimi, Nazish Butt, A C Anand, Scott Davison, Hiang Keat Tan, Coskun Demirtas, Amey Sonavane, Zhujun Cao, Paul J. Thuluvath, Adebayo Danielle, Adam Doyle, Dominik Bettinger, R K Dhiman, Hai Li, Yasser Fouad, Lei Wang, Yanyun Zhang, Aravinthan Aloysious, Helena Katchman, Chuanwu Zhu, Man Su, Qunfang Rao, Mingqin Lu, Xinrui Wang, Wu Liyang, Akash Shukla, Yu Jun Wong, Liana Mondlane, Francisco A. Felix Tellez, Elizabeth C. Verna, Rajender Reddy, Wai-Kay Seto, Leroy R. Thacker, Patrick S. Kamath, Jasmohan S. Bajaj
Language: English

Topic: Liver Disease and Transplantation
Subfield: Hepatology
Field: Medicine
Domain: Health Sciences
SDG: Good health and well-being

Open Access status: closed
OpenAlex ID: W4411999011
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