Abstract
More and more tests are being added to clinical practice, and the interpretation of these tests is becoming increasingly complicated. Multiple, even discordant, test results can be better interpreted using more sophisticated statistical methods that allow the physician to evaluate the cumulative effect of all available data. For example, a microcomputer program called CADENZA, which uses Bayes’ theorem, was developed to aid in the diagnosis and prognosis of coronary artery disease. Our experience with this program correlates well with the prediction of angiographic disease prevalence, the discrimination of multivessel disease from single-vessel disease, the incidence of coronary events (death and nonfatal infarction) in the year following testing, and the results of multivariate discriminant analysis.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 518-529 |
| Number of pages | 12 |
| Journal | Journal of Cardiac Rehabilitation |
| Volume | 4 |
| Issue number | 12 |
| State | Published - 1984 |
| Externally published | Yes |
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ASJC Scopus subject areas
- Rehabilitation
Cite this
Probabilistic diagnosis and prognosis of coronary artery disease. / Staniloff, Howard M.; Diamond, George A.; Pollock, Bradley H.
In: Journal of Cardiac Rehabilitation, Vol. 4, No. 12, 1984, p. 518-529.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Probabilistic diagnosis and prognosis of coronary artery disease
AU - Staniloff, Howard M.
AU - Diamond, George A.
AU - Pollock, Bradley H
PY - 1984
Y1 - 1984
N2 - More and more tests are being added to clinical practice, and the interpretation of these tests is becoming increasingly complicated. Multiple, even discordant, test results can be better interpreted using more sophisticated statistical methods that allow the physician to evaluate the cumulative effect of all available data. For example, a microcomputer program called CADENZA, which uses Bayes’ theorem, was developed to aid in the diagnosis and prognosis of coronary artery disease. Our experience with this program correlates well with the prediction of angiographic disease prevalence, the discrimination of multivessel disease from single-vessel disease, the incidence of coronary events (death and nonfatal infarction) in the year following testing, and the results of multivariate discriminant analysis.
AB - More and more tests are being added to clinical practice, and the interpretation of these tests is becoming increasingly complicated. Multiple, even discordant, test results can be better interpreted using more sophisticated statistical methods that allow the physician to evaluate the cumulative effect of all available data. For example, a microcomputer program called CADENZA, which uses Bayes’ theorem, was developed to aid in the diagnosis and prognosis of coronary artery disease. Our experience with this program correlates well with the prediction of angiographic disease prevalence, the discrimination of multivessel disease from single-vessel disease, the incidence of coronary events (death and nonfatal infarction) in the year following testing, and the results of multivariate discriminant analysis.
UR - http://www.scopus.com/inward/record.url?scp=0021732222&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0021732222&partnerID=8YFLogxK
M3 - Article
AN - SCOPUS:0021732222
VL - 4
SP - 518
EP - 529
JO - Journal of Cardiopulmonary Rehabilitation and Prevention
JF - Journal of Cardiopulmonary Rehabilitation and Prevention
SN - 1932-7501
IS - 12
ER -