Novel machine learning models outperform risk scores in predicting hepatocellular carcinoma in patients with chronic viral hepatitis

BACKGROUND & AIMS: Accurate hepatocellular carcinoma (HCC) risk prediction facilitates appropriate surveillance strategy and reduces cancer mortality. We aimed to derive and validate novel machine learning models to predict HCC in a territory-wide cohort of patients with chronic viral hepatitis...

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Detalles Bibliográficos
Autores principales: Wong, Grace Lai-Hung, Hui, Vicki Wing-Ki, Tan, Qingxiong, Xu, Jingwen, Lee, Hye Won, Yip, Terry Cheuk-Fung, Yang, Baoyao, Tse, Yee-Kit, Yin, Chong, Lyu, Fei, Lai, Jimmy Che-To, Lui, Grace Chung-Yan, Chan, Henry Lik-Yuen, Yuen, Pong-Chi, Wong, Vincent Wai-Sun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8844233/
https://www.ncbi.nlm.nih.gov/pubmed/35198928
http://dx.doi.org/10.1016/j.jhepr.2022.100441

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8844233/
https://www.ncbi.nlm.nih.gov/pubmed/35198928
http://dx.doi.org/10.1016/j.jhepr.2022.100441

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