Learning from small medical data—robust semi-supervised cancer prognosis classifier with Bayesian variational autoencoder

Abstract Motivation Cancer is one of the world’s leading mortality causes, and its prognosis is hard to predict due to complicated biological interactions among heterogeneous data types. Numerous challenges, such as censorship, high dimensionality and small sample size, prevent researchers from usin...

Full description

Bibliographic Details

Published in:	Bioinformatics advances Vol. 3; no. 1; p. vbac100
Main Authors:	Hsu, Te-Cheng, Lin, Che
Format:	Journal Article
Language:	English
Published:	England Oxford University Press 2023
Subjects:	Bayesian analysis Bioinformatics Breast cancer Deep learning Mathematical models Medical prognosis Neural networks Non-small cell lung carcinoma Original Paper Precision medicine Prognosis Small cell lung carcinoma
ISSN:	2635-0041, 2635-0041
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!