Computer probability estimates of angiographic coronary artery disease: Transportability and comparison with cardiologists' estimates

Robert Detrano, Marco Bobbio, Harold Olson, Adrian Shandling, Myrvin H. Ellestad, Eduardo Alegria, Diego Martinez-Caro, Alberto Righetti, Andras Janosi, Walter Steinbrunn, Matthias Pfisterer, Gianpietro Sanna, Giovanni Ferarri, Kern H. Gupp, Johann Jakob Schmid, Jaap Deckers, Ha Minh Le, Oleh Brezden, Antonio Colombo

Research output: Contribution to journalArticlepeer-review

Abstract

A computer algorithm for estimating probabilities of any significant coronary obstruction and triple vessel/left main obstructions was derived, validated, and compared with the assessments of cardiac clinician angiographers. The algorithm performed at least as well as the clinicians when the latter knew the identity of the patients whose angiograms they had decided to perform. The clinicians were more accurate when they did not know the identity of the subjects but worked from tabulated objective data. Referral and value induced bias may affect physician judgment in assessing disease probability. Application of computer aids or consultation with cardiologists not directly involved with patient management may assist in more rational assessments and decision making.

Original languageEnglish
Pages (from-to)468-485
Number of pages18
JournalComputers and Biomedical Research
Volume25
Issue number5
DOIs
Publication statusPublished - 1992

ASJC Scopus subject areas

  • Medicine (miscellaneous)

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