Clinical prediction rule

A clinical prediction rule or clinical probability assessment specifies how to use medical signs, symptoms, and other findings to estimate the probability of a specific disease or clinical outcome.[1]

Physicians have difficulty in estimated risks of diseases; frequently erring towards overestimation,[2] perhaps due to cognitive biases such as base rate fallacy in which the risk of an adverse outcome is exaggerated.

  1. ^ McGinn TG, Guyatt GH, Wyer PC, Naylor CD, Stiell IG, Richardson WS (2000). "Users' guides to the medical literature: XXII: how to use articles about clinical decision rules. Evidence-Based Medicine Working Group". JAMA. 284 (1): 79–84. doi:10.1001/jama.284.1.79. PMID 10872017.
  2. ^ Friedmann PD, Brett AS, Mayo-Smith MF (1996). "Differences in generalists' and cardiologists' perceptions of cardiovascular risk and the outcomes of preventive therapy in cardiovascular disease". Ann. Intern. Med. 124 (4): 414–21. doi:10.7326/0003-4819-124-4-199602150-00005. PMID 8554250. S2CID 25470460.

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