Leveraging auxiliary measures: a deep multi-task neural network for predictive modeling in clinical research

Leveraging auxiliary measures: a deep multi-task neural network for predictive modeling in clinical research

Abstract Background Accurate predictive modeling in clinical research enables effective early intervention that patients are most likely to benefit from. However, due to the complex biological nature of disease progression, capturing the highly non-linear information from low-level input features is...

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Bibliographic Details
Main Authors: Xiangrui Li, Dongxiao Zhu, Phillip Levy
Format: Article
Language:English
Published: BMC 2018-12-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Predictive modeling
Deep neural network
Auxiliary task
Multi-task learning
Online Access:http://link.springer.com/article/10.1186/s12911-018-0676-9

Internet

http://link.springer.com/article/10.1186/s12911-018-0676-9

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