Literature DB >> 28105894

Clinical prediction and the idea of a population.

David Armstrong1.   

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 20th century, 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.

Entities:  

Keywords:  medicine; population; prediction; prognosis

Mesh:

Year:  2017        PMID: 28105894     DOI: 10.1177/0306312716685926

Source DB:  PubMed          Journal:  Soc Stud Sci        ISSN: 0306-3127            Impact factor:   3.885


  4 in total

1.  Gradual Change, Homeostasis, and Punctuated Equilibrium: Reconsidering Patterns of Health in Later Life.

Authors:  Michal Engelman; Heide Jackson
Journal:  Demography       Date:  2019-12

2.  Rise and fall of the (social) group.

Authors:  David Armstrong
Journal:  Soc Stud Sci       Date:  2022-05-29       Impact factor: 2.781

3.  Datafication and accountability in public health: Introduction to a special issue.

Authors:  Klaus Hoeyer; Susanne Bauer; Martyn Pickersgill
Journal:  Soc Stud Sci       Date:  2019-08       Impact factor: 3.885

4.  The legacy of a standard of normality in child nutrition research.

Authors:  Austin Sandler
Journal:  SSM Popul Health       Date:  2021-07-06
  4 in total

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