2015 DeepComputationalPhenotyping

• (Che et al., 2015) ⇒ Zhengping Che, David Kale, Wenzhe Li, Mohammad Taha Bahadori, and Yan Liu. (2015). “Deep Computational Phenotyping.” In: Proceedings of the 21st ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2015). ISBN:978-1-4503-3664-2 doi:10.1145/2783258.2783365

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Cited By

• http://scholar.google.com/scholar?q=%222015%22+Deep+Computational+Phenotyping
• http://dl.acm.org/citation.cfm?id=2783258.2783365&preflayout=flat#citedby

Quotes

Author Keywords

• Deep learning; health; healthcare; medical informatics; multi-label classification; multivariate time series; neural nets; phenotyping

Abstract

We apply deep learning to the problem of discovery and detection of characteristic patterns of physiology in clinical time series data. We propose two novel modifications to standard neural net training that address challenges and exploit properties that are peculiar, if not exclusive, to medical data. First, we examine a general framework for using prior knowledge to regularize parameters in the topmost layers. This framework can leverage priors of any form, ranging from formal ontologies (e.g., ICD9 codes) to data-derived similarity. Second, we describe a scalable procedure for training a collection of neural networks of different sizes but with partially shared architectures. Both of these innovations are well-suited to medical applications, where available data are not yet Internet scale and have many sparse outputs (e.g., rare diagnoses) but which have exploitable structure (e.g., temporal order and relationships between labels). However, both techniques are sufficiently general to be applied to other problems and domains. We demonstrate the empirical efficacy of both techniques on two real-world hospital data sets and show that the resulting neural nets learn interpretable and clinically relevant features.

References

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	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2015 DeepComputationalPhenotyping	Yan Liu Mohammad Taha Bahadori Zhengping Che David Kale Wenzhe Li			Deep Computational Phenotyping				10.1145/2783258.2783365		2015