title: Clinical prediction and the idea of a population.
abstract: Using an analysis of the British Medical Journal over the past 170 years, this article describes how changes in the idea of a population have informed new technologies of medical prediction. These approaches have largely replaced older ideas of clinical prognosis based on understanding the natural histories of the underlying pathologies. The 19th-century idea of a population, which provided a denominator for medical events such as births and deaths, was constrained in its predictive power by its method of enumerating individual bodies. During the 20thcentury, populations were increasingly constructed through inferential techniques based on patient groups and samples seen to possess variable characteristics. The emergence of these new virtual populations created the conditions for the emergence of predictive algorithms that are used to foretell our medical futures.
authors.affiliation: Department of Primary Care and Public Health Sciences, King's College London, London, UK.
authors.forename: David
authors.initials: D
authors.lastname: Armstrong
mesh_terms: D003710:Demography / Q000266:history*; D049672:History, 19th Century; D049673:History, 20th Century; D006801:Humans; D008017:Life Expectancy / Q000266:history; D011153:Population; D011379:Prognosis; D012307:Risk Factors
keywords: medicine; population; prediction; prognosis