Studies on Multi-Criteria Decision-Making-Based Healthcare Systems Using the Machine Learning

Studies on Multi-Criteria Decision-Making-Based Healthcare Systems Using the Machine Learning

Authors

  • Sk Anamul Hoda The Department of Computer Science, The University of Burdwan, West Bengal, India
  • Abhoy Chand Mondal The Department of Computer Science, The University of Burdwan, West Bengal, India

DOI:

https://doi.org/10.37965/jait.2023.0167

Keywords:

fuzzy analytical hierarchical process, healthcare: machine learning, multi-criteria decision-making

Abstract

There is a lot of information in healthcare and medical records. However, it is challenging for humans to turn data into information and spot hidden patterns in today’s digitally based culture. Effective decision support technologies can help medical professionals find critical information concealed in voluminous data and support their clinical judgments and in different healthcare management activities. This paper presented an extensive literature survey for healthcare systems using machine learning based on multi-criteria decision-making. Various existing studies are considered for review, and a critical analysis is being done through the reviews study, which can help the researchers to explore other research areas to cater for the need of the field.

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Published

2023-03-25

How to Cite

Hoda, S. A., & Mondal, A. C. (2023). Studies on Multi-Criteria Decision-Making-Based Healthcare Systems Using the Machine Learning. Journal of Artificial Intelligence and Technology, 3(2), 53–59. https://doi.org/10.37965/jait.2023.0167

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Research Articles
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