title: Computer evaluation of graphical physiologic data for diagnosis of coronary heart disease.
abstract: Assessment of clinical significance in these records is sharpened by discriminant analysis. The selection and conditioning of data, requires hand measurements at kilobitS;-"OrIDachirle~ement at nearly megabit quantities, since multiple channels are essential. Clinically significant features of the graphical pattern 6f the BCG were determined, over adequate age-matched populations of normals and of patients with ischemiClleart disease. This required repeated calculation of the discriminant function, including several subsidiary statistics and graphical print-outs. Optimal features of a single physiologic trace thus produce a separatrix or a severity scale for the single disease-entity. Repeating this for other physiological traces, yields a sequential approach to diagnosis, in contrast to the uni-tary or parallel approaches of the Bayesian (probability-density) methods that have been used.
authors.affiliation: The Johns Hopkins University Medical School, Division of Medical Biophysics and Biomedical Engeneering, 725 N. Wolfe Street, Baltimore, MD 21205, USA.
authors.forename: S A
authors.initials: SA
authors.lastname: Talbot
authors.forename: W K
authors.initials: WK
authors.lastname: Harrison
mesh_terms: D000328:Adult; D000368:Aged; D003196:Computer Graphics; D003324:Coronary Artery Disease / Q000175:diagnosis* / Q000473:pathology; D003936:Diagnosis, Computer-Assisted / Q000295:instrumentation / Q000379:methods*; D016002:Discriminant Analysis; D004562:Electrocardiography; D004594:Electrophysiology; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D012044:Regression Analysis