Current Clinical Issues16 October 2001Disease Prediction Models Aim To Guide Medical Decision MakingTom ReynoldsTom ReynoldsSearch for more papers by this authorAuthor, Article, and Disclosure Informationhttps://doi.org/10.7326/0003-4819-135-8_Part_1-200110160-00023 SectionsAboutFull TextPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinkedInRedditEmail When performing a history and physical examination on a patient with a disorder such as chest pain, physicians try to gauge the likelihood that each differential diagnosis explains the chief complaint. Determining the likelihood of disease as an estimate of probability has important advantages, and this will become increasingly evident as medical information systems, such as those developed for hand-held personal digital assistants (PDAs), help physicians to estimate probability at the moment of decision making.Clinical prediction rules provide a structured approach to calculating a probability estimate by incorporating the key variables that predict whether a disease is present or ... Author, Article, and Disclosure InformationAffiliations: PreviousarticleNextarticle Advertisement FiguresReferencesRelatedDetails Metrics Cited byPEDIS Classification in Diabetic Foot Ulcers PatientsPredicting gastrointestinal infection morbidity based on environmental pollutants: Deep learning versus traditional modelsAn evolutionary deep neural network for predicting morbidity of gastrointestinal infections by food contaminationThe comorbidity of ADHD in children diagnosed with autism spectrum disorderReliability and Validity of the Perfusion, Extent, Depth, Infection and Sensation (PEDIS) Classification System and Score in Patients with Diabetic Foot UlcerValidation and comparison of currently available stratification systems for patients with diabetes by risk of foot ulcer developmentRisk stratification systems for diabetic foot ulcers: a systematic reviewDo Physicians Attend to Base Rates? Prevalence Data and Statistical Discrimination in the Diagnosis of Coronary Heart DiseaseClinical experience did not reduce the variance in physicians' estimates of pretest probability in a cross-sectional surveyProbabilistic reasoning and clinical decision-making: do doctors overestimate diagnostic probabilities? 16 October 2001Volume 135, Issue 8_Part_1Page: 637-640KeywordsBreast cancerCancer preventionCardiac surgeryDrugsIschemiaMedical risk factorsMuscular dystrophiesMyocardial infarctionStable coronary artery diseaseVascular surgery ePublished: 16 October 2001 Issue Published: 16 October 2001 Copyright & PermissionsCopyright © 2001 by American College of Physicians. All Rights Reserved.PDF downloadLoading ...