Cargando…
Development of machine learning-based clinical decision support system for hepatocellular carcinoma
There is a significant discrepancy between the actual choice for initial treatment option for hepatocellular carcinoma (HCC) and recommendations from the currently used BCLC staging system. We develop a machine learning-based clinical decision support system (CDSS) for recommending initial treatment...
Autores principales: | Choi, Gwang Hyeon, Yun, Jihye, Choi, Jonggi, Lee, Danbi, Shim, Ju Hyun, Lee, Han Chu, Chung, Young-Hwa, Lee, Yung Sang, Park, Beomhee, Kim, Namkug, Kim, Kang Mo |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7481788/ https://www.ncbi.nlm.nih.gov/pubmed/32908183 http://dx.doi.org/10.1038/s41598-020-71796-z |
Ejemplares similares
-
Evaluation of transarterial chemoembolization refractoriness in patients with hepatocellular carcinoma
por: Choi, Jonggi, et al.
Publicado: (2020) -
The effectiveness of transarterial chemoembolization in recurrent hepatocellular-cholangiocarcinoma after resection
por: Na, Seong Kyun, et al.
Publicado: (2018) -
A simple and clinically applicable model to predict liver-related morbidity after hepatic resection for hepatocellular carcinoma
por: Choi, Jonggi, et al.
Publicado: (2020) -
Identification of hepatic steatosis in living liver donors by machine learning models
por: Lim, Jihye, et al.
Publicado: (2022) -
Subclassification of advanced-stage hepatocellular carcinoma with macrovascular invasion: combined transarterial chemoembolization and radiotherapy as an alternative first-line treatment
por: Jin, Sujin, et al.
Publicado: (2023)