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Applications of Artificial Intelligence Systems in the Analysis of Epidemiological Data

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Abstract

A brief review of the germane literature suggests that the use of artificial intelligence (AI) statistical algorithms in epidemiology has been limited. We discuss the advantages and disadvantages of using AI systems in large-scale sets of epidemiological data to extract inherent, formerly unidentified, and potentially valuable patterns that human-driven deductive models may miss.

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Authors and Affiliations

  1. Environmental Ergonomics Laboratory, School of Health and Human Performance, Dalhousie University, 6230 South Street, Halifax, B3H 3J5, Nova Scotia, Canada

    Andreas D. Flouris

  2. Management and Information Sciences, Faculty of Management, Dalhousie University, Canada

    Jack Duffy

Authors
  1. Andreas D. Flouris
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  2. Jack Duffy
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Correspondence to Andreas D. Flouris.

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Flouris, A.D., Duffy, J. Applications of Artificial Intelligence Systems in the Analysis of Epidemiological Data. Eur J Epidemiol 21, 167–170 (2006). https://doi.org/10.1007/s10654-006-0005-y

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  • DOI: https://doi.org/10.1007/s10654-006-0005-y

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