Association of Clinician Diagnostic Performance With Machine Learning–Based Decision Support Systems
نویسندگان
چکیده
منابع مشابه
5 Diagnostic Decision Support Systems
Since primeval times, mankind has attempted to explain natural phenomena using models. For the past four decades, a new kind of modeler, the healthcare informatician, has developed and proliferated a new kind of model, the Clinical Diagnostic Decision Support System (DDSS). Modeling historically was, and still remains, an inexact science. Ptolemy, in the “Almagest,” placed the earth at the cent...
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OBJECTIVE we set the threshold to achieve a sensitivity of 95% To compare a Bayesian network (BN) and an and then calculated the specificity, the positive artificial neural network (ANN) in diagnosing predictive value (PPV), and the negative predictive community-acquired pneumonia. value (NPV). Over the range of all thresholds, we also plotted sensitivity against 1 specificity to get BACKGROUND...
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Methods: A national sample of 67 internists, 35 family physicians, and 6 other physicians used the Quick Medical Reference (QMR) diagnostic decision support system to assist them in the diagnosis of written clinical cases. Three sets of eight cases, stratified by diagnostic difficulty and the potential of QMR to produce high-quality information, were used. The effects of using QMR on three meas...
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ژورنال
عنوان ژورنال: JAMA Network Open
سال: 2021
ISSN: 2574-3805
DOI: 10.1001/jamanetworkopen.2021.1276