Survival Prediction of Lung Cancer Using Small-Size Clinical Data with a Multiple Task Variational Autoencoder

Survival Prediction of Lung Cancer Using Small-Size Clinical Data with a Multiple Task Variational Autoencoder

Due to the increase of lung cancer globally, and particularly in Korea, survival analysis for this type of cancer has gained prominence in recent years. For this task, mathematical and traditional machine learning approaches are commonly used by medical doctors. While the deep learning approach has...

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Bibliographic Details
Main Authors: Thanh-Hung Vo, Guee-Sang Lee, Hyung-Jeong Yang, In-Jae Oh, Soo-Hyung Kim, Sae-Ryung Kang
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Electronics
Subjects:
survival analysis
lung cancer
variational autoencoder
multiple tasks
prognosis
Online Access:https://www.mdpi.com/2079-9292/10/12/1396

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