Cardiac Phase Space Tomography: A novel method of assessing coronary artery disease utilizing machine learning.

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Bibliographic Details
Title: Cardiac Phase Space Tomography: A novel method of assessing coronary artery disease utilizing machine learning.
Authors: Stuckey TD; Cone Health Heart and Vascular Center, Greensboro, North Carolina, United States of America., Gammon RS; Austin Heart, Austin, Texas, United States of America., Goswami R; Piedmont Heart Institute, Atlanta, Georgia, United States of America., Depta JP; Rochester General Hospital, Rochester, New York, United States of America., Steuter JA; Bryan Heart, Lincoln, Nebraska, United States of America., Meine FJ 3rd; New Hanover Regional Medical Center, Wilmington, North Carolina, United States of America., Roberts MC; Lexington Cardiology, West Columbia, South Carolina, United States of America., Singh N; Atlanta Heart Specialists, Cumming, Georgia, United States of America., Ramchandani S; Analytics 4 Life, Toronto, Ontario, Canada., Burton T; Analytics 4 Life, Toronto, Ontario, Canada., Grouchy P; Analytics 4 Life, Toronto, Ontario, Canada., Khosousi A; Analytics 4 Life, Toronto, Ontario, Canada., Shadforth I; A4L (US), Morrisville, North Carolina, United States of America., Sanders WE Jr; A4L (US), Morrisville, North Carolina, United States of America.
Source: PloS one [PLoS One] 2018 Aug 08; Vol. 13 (8), pp. e0198603. Date of Electronic Publication: 2018 Aug 08 (Print Publication: 2018).
Publication Type: Clinical Trial; Journal Article; Multicenter Study; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE
Database: MEDLINE Ultimate
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