Reynolds T. Disease Prediction Models Aim To Guide Medical Decision Making. Ann Intern Med. 2001;135:637-640. doi: 10.7326/0003-4819-135-8_Part_1-200110160-00023
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Published: Ann Intern Med. 2001;135(8_Part_1):637-640.
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 may develop in the future.
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Cardiology, Hematology/Oncology, Breast Cancer, Prevention/Screening.
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Print ISSN: 0003-4819 | Online ISSN: 1539-3704
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