Multi-Instance Multi-Label Learning for Gene Mutation Prediction in Hepatocellular Carcinoma.
Annu Int Conf IEEE Eng Med Biol Soc
; 2020: 6095-6098, 2020 07.
Article
em En
| MEDLINE
| ID: mdl-33019361
ABSTRACT
Gene mutation prediction in hepatocellular carcinoma (HCC) is of great diagnostic and prognostic value for personalized treatments and precision medicine. In this paper, we tackle this problem with multi-instance multi-label learning to address the difficulties on label correlations, label representations, etc. Furthermore, an effective oversampling strategy is applied for data imbalance. Experimental results have shown the superiority of the proposed approach.
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Carcinoma Hepatocelular
/
Neoplasias Hepáticas
Tipo de estudo:
Prognostic_studies
/
Risk_factors_studies
Limite:
Humans
Idioma:
En
Ano de publicação:
2020
Tipo de documento:
Article