VisualDx is a clinical decision support tool that uses images and searchable clinical features to assist physicians in the diagnostic decision-making process. VisualDx is a database of more than 24,000 high-quality images covering a wide variety of conditions and drug eruptions. In addition, VisualDx integrates within both UpToDate and many electronic medical records and features a mobile versi...

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...

The limitations of diagnostic "accuracy" as a measure of decision performance require introduction of the concepts of the "sensitivity" and "specificity" of a diagnostic test. These measures and the related indices, "true positive fraction" and "false positive fraction," are more meaningful than "accuracy," yet do not provide a unique description of diagnostic performance because they depend on...

OBJECTIVE The purpose of this article is to compare the diagnostic accuracy of induced decision trees with that of pruned neural networks and to improve the accuracy and interpretation of breast cancer diagnosis from readings of thin-needle aspirate by identifying cases likely to be misclassified by induced decision rules. METHOD Using an online database consisting of 699 cases of suspected b...