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Review
. 2022 Aug 24;12(9):1359.
doi: 10.3390/jpm12091359.

Artificial Intelligence-Based Medical Data Mining

Amjad Zia  1 , Muzzamil Aziz  2 , Ioana Popa  1 , Sabih Ahmed Khan  2 , Amirreza Fazely Hamedani  2 , Abdul R Asif  1
Affiliations
Review

Artificial Intelligence-Based Medical Data Mining

Amjad Zia et al. J Pers Med. .

Abstract

Understanding published unstructured textual data using traditional text mining approaches and tools is becoming a challenging issue due to the rapid increase in electronic open-source publications. The application of data mining techniques in the medical sciences is an emerging trend; however, traditional text-mining approaches are insufficient to cope with the current upsurge in the volume of published data. Therefore, artificial intelligence-based text mining tools are being developed and used to process large volumes of data and to explore the hidden features and correlations in the data. This review provides a clear-cut and insightful understanding of how artificial intelligence-based data-mining technology is being used to analyze medical data. We also describe a standard process of data mining based on CRISP-DM (Cross-Industry Standard Process for Data Mining) and the most common tools/libraries available for each step of medical data mining.

Keywords: artificial intelligence; healthcare information; machine learning; medical data; text mining.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
Cross-Industry Standard Process for Data Mining (CRISP-DM)—adapted from the webpage of the Data Science Process Alliance [17] (www.datascience-pm.com/crisp-dm-2/, accessed on 16 April 2022). The circular nature of the data mining process is symbolized by the outer circle, while the arrows that connect the phases show the most essential and common dependencies.
Figure 2
Figure 2
Comparison between web crawling and web scraping.
Figure 3
Figure 3
Layout for access restrictions.
Figure 4
Figure 4
Steps for data cleaning.
Figure 5
Figure 5
Predictive and descriptive data mining tasks.
See this image and copyright information in PMC

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