title: Predicting the presence of plasma heparin using neural networks to analyze coagulation screening assay optical profiles.
abstract: A method for predicting the presence of heparin from coagulation screening assays is described and data are presented. This method incorporates the use of a multilayer perceptron trained through an error back-propagation algorithm in analyzing clotting optical data profiles. This method may lead to the identification of abnormalities from screening assays that might otherwise go undetected, or require additional testing to isolate.
authors.affiliation: Organon Teknika Corporation, Durham, NC 27712, USA.
authors.forename: T B
authors.initials: TB
authors.lastname: Givens
authors.forename: P
authors.initials: P
authors.lastname: Braun
authors.forename: T J
authors.initials: TJ
authors.lastname: Fischer
mesh_terms: D001185:Artificial Intelligence; D001780:Blood Coagulation Tests; D006493:Heparin / Q000097:blood*; D006801:Humans; D008962:Models, Theoretical; D016571:Neural Networks, Computer; D055095:Optics and Photonics; D015203:Reproducibility of Results
chemical_list: D006493:Heparin