Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Vikram Anjur"'
Autor:
L. Thacker, Michael B. Fallon, Puneeta Tandon, Hugo E. Vargas, Vikram Anjur, Jasmohan S. Bajaj, Scott W. Biggins, Ravishankar K. Iyer, K. Rajender Reddy, Guadalupe Garcia-Tsao, Krishnakant Saboo, Chang Hu, Ram Subramanian, Paul J. Thuluvath, Jennifer C. Lai, Patrick S. Kamath, Florence Wong, Benedict Maliakkal, Jacqueline G. O'Leary
Publikováno v:
American Journal of Gastroenterology. 116:336-346
Introduction Readmission and death in cirrhosis are common, expensive, and difficult to predict. Our aim was to evaluate the abilities of multiple artificial intelligence (AI) techniques to predict clinical outcomes based on variables collected at ad
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::02c81e9794536219b3219116546796cf
https://doi.org/10.14309/ajg.0000000000000971
https://doi.org/10.14309/ajg.0000000000000971
Autor:
Chang, Hu, Vikram, Anjur, Krishnakant, Saboo, K Rajender, Reddy, Jacqueline, O'Leary, Puneeta, Tandon, Florence, Wong, Guadalupe, Garcia-Tsao, Patrick S, Kamath, Jennifer C, Lai, Scott W, Biggins, Michael B, Fallon, Paul, Thuluvath, Ram M, Subramanian, Benedict, Maliakkal, Hugo, Vargas, Leroy R, Thacker, Ravishankar K, Iyer, Jasmohan S, Bajaj
Publikováno v:
The American journal of gastroenterology. 116(2)
Readmission and death in cirrhosis are common, expensive, and difficult to predict. Our aim was to evaluate the abilities of multiple artificial intelligence (AI) techniques to predict clinical outcomes based on variables collected at admission, duri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::642155d742f253e706b29b77b310b988
https://pubmed.ncbi.nlm.nih.gov/33038139
https://pubmed.ncbi.nlm.nih.gov/33038139