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Open Call for Science and Technology Created by Early-Stage (e.g. University) Teams

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA8649-20-P-0408
Agency Tracking Number: F19C-010-0197
Amount: $25,000.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: AF19C-T010
Solicitation Number: 19.C
Solicitation Year: 2019
Award Year: 2020
Award Start Date (Proposal Award Date): 2019-12-12
Award End Date (Contract End Date): 2020-12-12
Small Business Information
8440 Mecklenburg Ct
Knoxville, TN 37923
United States
DUNS: 049507459
HUBZone Owned: No
Woman Owned: Yes
Socially and Economically Disadvantaged: No
Principal Investigator
 Nathalie-Sofia Tomov
 (865) 773-9267
Business Contact
 Nathalie-Sofia Tomov
Phone: (865) 773-9267
Research Institution
 Qardian Labs
 Chris Klenck Chris Klenck
8440 Mecklenburg Ct
Knoxville, TN 37923
United States

 (865) 974-1231
 Nonprofit College or University

Heart disease is the leading cause of death, and experts estimate that approximately half of all heart attacks and strokes occur in people who have not been flagged as 'at risk.' To this end, we investigate the potential of using data analysis, and in particular the design and use of deep neural networks (DNNs) for detecting heart disease based on routine clinical data. Our main contribution is the design, evaluation, and optimization of DNN architectures of increasing depth for heart disease diagnosis. This work led to the discovery of a novel five layer DNN architecture for clinical decision support that yields best prediction accuracy. The algorithm's design employs regularization optimization and automatically deals with missing data and/or data outliers. To evaluate and tune the architectures we use k-way cross-validation as well as Matthews correlation coefficient (MCC) to measure the quality of our classifications. This software can be used as a cardiac screening tool for Air Force pilots, as there is a compelling need for fast and accurate decision support technology.

* Information listed above is at the time of submission. *

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