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For: Lee HW, Kim H, Park T, Park SY, Chon YE, Seo YS, Lee JS, Park JY, Kim DY, Ahn SH, Kim BK, Kim SU. A machine learning model for predicting hepatocellular carcinoma risk in patients with chronic hepatitis B. Liver Int 2023;43:1813-1821. [PMID: 37452503 DOI: 10.1111/liv.15597] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/24/2022] [Revised: 04/17/2023] [Accepted: 04/19/2023] [Indexed: 07/18/2023]
Number Cited by Other Article(s)
1
Su TH, Kao JH. Role of artificial intelligence in the management of chronic hepatitis B infection. Clin Liver Dis (Hoboken) 2024;23:e0164. [PMID: 38707242 PMCID: PMC11068129 DOI: 10.1097/cld.0000000000000164] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/18/2024] [Accepted: 02/20/2024] [Indexed: 05/07/2024]  Open
2
Yip TCF, Yurdaydin C. Improving prediction of hepatocellular carcinoma in chronic hepatitis B by machine learning: Productive relationship of medicine with computer science. Liver Int 2023;43:1626-1628. [PMID: 37452504 DOI: 10.1111/liv.15631] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Revised: 05/22/2023] [Accepted: 05/24/2023] [Indexed: 07/18/2023]
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