Cargando…
Prediction of Early Recurrence of Liver Cancer by a Novel Discrete Bayes Decision Rule for Personalized Medicine
We discuss a novel diagnostic method for predicting the early recurrence of liver cancer with high accuracy for personalized medicine. The difficulty with cancer treatment is that even if the types of cancer are the same, the cancers vary depending on the patient. Thus, remarkable attention has been...
Autores principales: | Ogihara, Hiroyuki, Iizuka, Norio, Hamamoto, Yoshihiko |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5075355/ https://www.ncbi.nlm.nih.gov/pubmed/27800494 http://dx.doi.org/10.1155/2016/8567479 |
Ejemplares similares
-
CD4 and FOXP3 as predictive markers for the recurrence of T3/T4a stage II colorectal cancer: applying a novel discrete Bayes decision rule
por: Nakagami, Yuki, et al.
Publicado: (2022) -
Constipation and herbal medicine
por: Iizuka, Norio, et al.
Publicado: (2015) -
Web-Based Evaluation System to Measure Learning Effectiveness in Kampo Medicine
por: Iizuka, Norio, et al.
Publicado: (2016) -
Construction of a Standardized Tongue Image Database for Diagnostic Education: Development of a Tongue Diagnosis e-Learning System
por: Segawa, Makoto, et al.
Publicado: (2021) -
A Bayes Decision Rule to Assist Policymakers during a Pandemic
por: Cao, Kang-Hua, et al.
Publicado: (2021)