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

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...

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Veröffentlicht in:Computers and biomedical research 1992-10, Vol.25 (5), p.468-485
Hauptverfasser: Detrano, Robert, Bobbio, Marco, Olson, Harold, Shandling, Adrian, Ellestad, Myrvin H., Alegria, Eduardo, Martinez-Caro, Diego, Righetti, Alberto, Janosi, Andras, Steinbrunn, Walter, Pfisterer, Matthias, Sanna, Gianpietro, Ferarri, Giovanni, Gupp, Kern H., Schmid, Johann-Jakob, Deckers, Jaap, Le, Ha Minh, Brezden, Oleh, Colombo, Antonio
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container_end_page 485
container_issue 5
container_start_page 468
container_title Computers and biomedical research
container_volume 25
creator Detrano, Robert
Bobbio, Marco
Olson, Harold
Shandling, Adrian
Ellestad, Myrvin H.
Alegria, Eduardo
Martinez-Caro, Diego
Righetti, Alberto
Janosi, Andras
Steinbrunn, Walter
Pfisterer, Matthias
Sanna, Gianpietro
Ferarri, Giovanni
Gupp, Kern H.
Schmid, Johann-Jakob
Deckers, Jaap
Le, Ha Minh
Brezden, Oleh
Colombo, Antonio
description 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.
doi_str_mv 10.1016/0010-4809(92)90004-T
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subjects Adult
Aged
Aged, 80 and over
Algorithms
Artificial Intelligence
Biological and medical sciences
Computerized, statistical medical data processing and models in biomedicine
Coronary Angiography
Coronary Disease - diagnosis
Female
Humans
Male
Medical management aid. Diagnosis aid
Medical sciences
Middle Aged
Predictive Value of Tests
title Computer probability estimates of angiographic coronary artery disease: Transportability and comparison with cardiologists' estimates
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