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Ohmann, C. ; Thon, K. ; Stöltzing, H. ; Yang, Q. ; Lorenz, Wilfried

Upper gastrointestinal tract bleeding: assessing the diagnostic contributions of the history and clinical findings

Ohmann, C., Thon, K., Stöltzing, H., Yang, Q. and Lorenz, Wilfried (1986) Upper gastrointestinal tract bleeding: assessing the diagnostic contributions of the history and clinical findings. Medical decision making 6 (4), pp. 208-215.

Date of publication of this fulltext: 18 Aug 2011 13:07
Article
DOI to cite this document: 10.5283/epub.21796


Abstract

Various strategies can be used in the diagnosis of upper gastrointestinal tract bleeding. This study investigates the relevance of anamnestic and clinical findings for the diagnosis of the bleeding source. The authors introduced a computer-aided diagnostic system using Bayes' theorem and compared it with clinicians' predictions using anamnestic and clinical findings only. There was no difference ...

Various strategies can be used in the diagnosis of upper gastrointestinal tract bleeding. This study investigates the relevance of anamnestic and clinical findings for the diagnosis of the bleeding source. The authors introduced a computer-aided diagnostic system using Bayes' theorem and compared it with clinicians' predictions using anamnestic and clinical findings only. There was no difference in the overall accuracy rates, but a difference was observed in the diagnostic behaviors of the two "systems." In addition, the discriminatory ability of the computer-aided system, the sharpness of the predictions obtained, and the reliability of the posterior probabilities were analyzed. It is concluded that the clinician and the computer-aided system are not able to discriminate well between the disease categories. Derived classification matrices and probability-based measures show the reasons for the inadequacy of diagnostic information obtainable from the clinical history and physical findings.



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Details

Item typeArticle
Journal or Publication TitleMedical decision making
Publisher:Sage
Volume:6
Number of Issue or Book Chapter:4
Page Range:pp. 208-215
Date1986
InstitutionsMedicine > Zentren des Universitätsklinikums Regensburg > Tumorzentrum e.V.
Medicine > Institut für Epidemiologie und Präventivmedizin > Tumorzentrum e.V.
Identification Number
ValueType
3534503PubMed ID
Classification
NotationType
Bayes TheoremMESH
Diagnosis, Computer-AssistedMESH
Gastrointestinal Hemorrhage/diagnosisMESH
HumansMESH
Medical History TakingMESH
Dewey Decimal Classification600 Technology > 610 Medical sciences Medicine
StatusPublished
RefereedYes, this version has been refereed
Created at the University of RegensburgUnknown
URN of the UB Regensburgurn:nbn:de:bvb:355-epub-217964
Item ID21796

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