Shedding Light on the Black Box: Explaining Deep Neural Network Prediction of Clinical Outcomes.

Authors

Yijun Shao, George Washington University
Yan Cheng, George Washington University
Rashmee U Shah
Charlene R Weir
Bruce E Bray
Qing Zeng-Treitler

Document Type

Journal Article

Publication Date

1-4-2021

Journal

Journal of medical systems

Volume

45

Issue

1

DOI

10.1007/s10916-020-01701-8

Grant Information

CTSI FUNDED.

• Funding text #1

  This study was funded by: NIH grant R56 (AG052536-01A1); The Clinical and Translational Science Institute at Children’s National (CTSI-CN) through the NIH Clinical and Translational Science Award (CTSA) program (UL1TR001876); CREATE: A VHA NLP Software Ecosystem for Collaborative Development and Integration (#CRE 12–315); Veterans Health Administration Health Services Research & Development (# CRE 12-321); Career Development Award from the NHLBI (K08HL136850).

• Funding text #2

  This study was funded by: NIH grant R56 (AG052536-01A1); The Clinical and Translational Science Institute at Children’s National (CTSI-CN) through the NIH Clinical and Translational Science Award (CTSA) program (UL1TR001876); CREATE: A VHA NLP Software Ecosystem for Collaborative Development and Integration (#CRE 12–315); Veterans Health Administration Health Services Research & Development (# CRE 12–321); Career Development Award from the NHLBI (K08HL136850).

Keywords

Clinical outcome; Deep neural network; Machine learning; Predictive model.

APA Citation

Shao, Y., Cheng, Y., Shah, R., Weir, C., Bray, B., & Zeng-Treitler, Q. (2021). Shedding Light on the Black Box: Explaining Deep Neural Network Prediction of Clinical Outcomes.. Journal of medical systems, 45 (1). http://dx.doi.org/10.1007/s10916-020-01701-8

Peer Reviewed

1