RETAIN: An Interpretable Predictive Model for Healthcare using Reverse Time Attention Mechanism

Article Details
Title:	RETAIN: An Interpretable Predictive Model for Healthcare using Reverse Time Attention Mechanism
Article URLs:	http://papers.nips.cc/paper/6321-retain-an-interpretable-predictive-model-for-healthcare-using-reverse-time-attention-mechanism
Alternative Article URLs:
Authors:	Edward Choi	Georgia Institute of Technology
	Mohammad Taha Bahadori	Georgia Institute of Technology
	Jimeng Sun	Georgia Institute of Technology
	Joshua Kulas	Georgia Institute of Technology
	Andy Schuetz	Sutter Health
	Walter F. Stewart	Sutter Health
Sharing:	Unknown
Verification:	Authors have not verified information
Artifact Evaluation Badge:	none
Artifact URLs:	https://github.com/mp2893/retain
Artifact Correspondence Email Addresses:
NSF Award Numbers:
DBLP Key:	conf/nips/ChoiBSKSS16
Author Comments:

Advances in Neural Information Processing Systems, NIPS 2016