Literature DB >> 32244930

Inherent Bias in Artificial Intelligence-Based Decision Support Systems for Healthcare.

Varadraj Gurupur1, Thomas T H Wan1.   

Abstract

The objective of this article is to discuss the inherent bias involved with artificial intelligence-based decision support systems for healthcare. In this article, the authors describe some relevant work published in this area. A proposed overview of solutions is also presented. The authors believe that the information presented in this article will enhance the readers' understanding of this inherent bias and add to the discussion on this topic. Finally, the authors discuss an overview of the need to implement transdisciplinary solutions that can be used to mitigate this bias.

Entities:  

Keywords:  artificial intelligence; decision support systems; healthcare information systems; knowledge bias; knowledge-based systems

Year:  2020        PMID: 32244930     DOI: 10.3390/medicina56030141

Source DB:  PubMed          Journal:  Medicina (Kaunas)        ISSN: 1010-660X            Impact factor:   2.430


  3 in total

1.  Predicting Old-age Mortality Using Principal Component Analysis: Results from a National Panel Survey in Korea.

Authors:  Jaeyong Shin; Kwang-Soo Lee; Jae-Hyun Kim
Journal:  Medicina (Kaunas)       Date:  2020-07-18       Impact factor: 2.430

2.  What Can COVID-19 Teach Us about Using AI in Pandemics?

Authors:  Krzysztof Laudanski; Gregory Shea; Matthew DiMeglio; Mariana Rastrepo; Cassie Solomon
Journal:  Healthcare (Basel)       Date:  2020-12-01

3.  Predictive Analytics for the KMAP-O Model in Design and Evaluation of Diabetes Care Management Research.

Authors:  Thomas T H Wan
Journal:  Health Serv Res Manag Epidemiol       Date:  2021-06-10
  3 in total

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