Machine Learning Models Using Hospital Admission Characteristics Do Not Optimally Predict Nosocomial Infection Development in a Global Cirrhosis Cohort.
Silvey S, Choudhury AK, Kamath PS, Xie Q, Wong F, Hayes PC, Seto WK, Arora U, Singhal G, Jothimani D, Asrani S, Gadano A, Dincer D, Farias AQ, Adebayo D, Velarde-Ruiz Velasco JA, Doyle A, Kulkarni AV, Debzi N, Shaw J, Barutcu S, Desalgn H, Bettinger D, Regis Lah PC, Duarte-Rojo A, Turan D, Wang L, Velazquez RM, Zheng X, Aghayaeva S, Karasu Z, Demirtas C, Liu C, Cordova-Gallardo J, Xu B, Nagral A, Gao H, Elangovan H, Fung J, Rajorya N, Wang X, Katchmann H, Praharaj D, Mahadeva S, Jiang Y, Zheng K, Thanapirom K, Eapen CE, Dhiman RK, Lu M, Arrese M, Su M, Hueso SG, Zhu C, Aberra H, Fisseha H, Tan HK, Zhao C, Zhang N, Taneja S, Aravinthan AD, Sonavane A, Saraya A, Gofton C, MacQuillan G, Pereira G, Reddy KR, Sarin SK, Cao Z, Topazian M, Idilman R, Torre A, George J, Alvares da Silva M, Bush BJ, Bajaj JS; CLEARED Consortium.
Silvey S, et al. Among authors: bajaj js.
Am J Gastroenterol. 2026 Apr 27. doi: 10.14309/ajg.0000000000004031. Online ahead of print.
Am J Gastroenterol. 2026.
PMID: 42043180