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Machine learning improves significant fibrosis prediction a..:

Verma, Nipun ; Duseja, Ajay ; Mehta, Manu...
Journal of Clinical and Experimental Hepatology. 12 (2022) - p. S1-S2 , 2022

Link: https://doi.org/10.1016/j.jceh.2022.07.011

RT Journal
T1 <Title>Machine learning improves significant fibrosis prediction among Asian patients with biopsy proven non-alcoholic fatty liver disease: a report from GO-ASIA working group</Title>

UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.jceh.2022.07.011&Exemplar=1&LAN=DE
				
A1 Verma, Nipun
A1 Duseja, Ajay
A1 Mehta, Manu
A1 De, Arka
A1 Lin, Huapeng
A1 Wong, Vincent Wai-Sun
A1 Wong, GraceLai-Hung
A1 Rajaram, Ruveena Bhavani
A1 Chan, Wah-Kheong
A1 Mahadeva, Sanjiv
A1 Zheng, Ming-Hua
A1 Liu, Wen-Yue
A1 Treeprasertsuk, Sombat
A1 Prasoppokakorn, Thaninee
A1 Kakizaki, Satoru
A1 Seki, Yosuke
A1 Kasama, Kazunori
A1 Charatcharoenwitthaya, Phunchai
A1 Sathirawich, Phalath
A1 Kulkarni, Anand
A1 Purnomo, Hery Djagat
A1 Kamani, Lubna
A1 Lee, Justin
A1 Tan, Eunice XX.
A1 Young, Dan Yock
PB Elsevier BV
YR 2022
SN 0973-6883
JF Journal of Clinical and Experimental Hepatology
VO 12
SP S1
OP S2
LK http://dx.doi.org/https://doi.org/10.1016/j.jceh.2022.07.011
DO https://doi.org/10.1016/j.jceh.2022.07.011
SF ELIB - SuUB Bremen

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