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

被引：22

作者：

Gurupur, Varadraj ^{[1
]}

Wan, Thomas T. H. ^{[1
]}

机构：

[1] Univ Cent Florida, Dept Hlth Management & Informat, Orlando, FL 32816 USA

来源：

MEDICINA-LITHUANIA | 2020年 / 56卷 / 03期

关键词：

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

D O I：

10.3390/medicina56030141

中图分类号：

R5 [内科学];

学科分类号：

1002 ; 100201 ;

摘要：

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.

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页数：5

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