Artificial Intelligence-Based Medical Data Mining
2022 | journal article. A publication with affiliation to the University of Göttingen.
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Details
- Authors
- Zia, Amjad; Aziz, Muzzamil; Popa, Ioana; Khan, Sabih Ahmed; Hamedani, Amirreza Fazely; Asif, Abdul R.
- 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.
- Issue Date
- 2022
- Journal
- Journal of Personalized Medicine
- Organization
- Institut für Klinische Chemie ; Universitätsmedizin Göttingen ; Gesellschaft für wissenschaftliche Datenverarbeitung
- eISSN
- 2075-4426
- Language
- English
- Sponsor
- Open-Access-Publikationsfonds 2022