Categorical prediction of acute chest pain outcome by relonics
Vadim I. Kvitash
(Department of General Internal Medicine, School of Medicine, University of California at San Francisco and Personal Health Response, Inc., San Francisco, CA, USA)
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Abstract
Relonics, for the first time, identifies previously unknown multi‐dimensional patterns of biochemical meta‐networks which can serve as specific and sensitive systemic markers for categorical prediction of acute chest pain outcome in individual patients at the time of admission in Intensive Care Unit.
Keywords
Citation
Kvitash, V.I. (2002), "Categorical prediction of acute chest pain outcome by relonics", Kybernetes, Vol. 31 No. 9/10, pp. 1487-1493. https://doi.org/10.1108/03684920210443699
Publisher
:MCB UP Ltd
Copyright © 2002, MCB UP Limited