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approximately MDPI.
Artificial Intelligence-Based Medical Data Mining
Abstract: Understanding posted unstructured textual
statistics the use of traditional textual content mining approaches and gear is
turning into a difficult trouble because of the fast boom in digital
open-supply guides. The utility of data mining techniques within the medical
sciences is an emerging trend; however, conventional textual content-mining
approaches are inadequate to cope with the modern upsurge within the volume of
published statistics. Therefore, artificial intelligence-based totally textual
content mining equipment are being evolved and used to procedure big volumes of
facts and to discover the hidden capabilities and correlations within the
facts. This evaluation affords a uncomplicated and insightful expertise of ways
synthetic intelligence-based totally statistics-mining era is being used to
research scientific statistics. We additionally describe a popular process of
facts mining based on CRISP-DM (Cross-Industry Standard Process for Data
Mining) and the most commonplace gear/libraries to be had for every step of
scientific records mining. Keywords: text mining; synthetic intelligence;
machine studying; scientific information; healthcare facts
Abstract
1. Introduction
1.1. Medical vs. Non-Medical Literature Text Mining
1.2. Use of Artificial Intelligence and Machine Learning in
Medical Literature Data Mining
Natural Language Processing
2. Standard Process for Data Mining
2.1. Business Understanding
2.2. Data Understanding
2.2.1. Literature Extraction/Data Gathering
Access Restriction
Data Collection from Different Sources
2.3. Data Preparation
2.Three.1. Data Cleaning/Data Transformation
2.3.2. Feature Engineering
2.Three.Three. Searching for Keywords
2.Four. Modeling
2.5. Data Model Validation and Testing
2.6. Evaluation
2.7. Deployment
three. Conclusions and Future Outlook
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
Zia, A.; Aziz, M.; Popa, I.; Khan, S.A.; Hamedani, A.F.;
Asif, A.R. Artificial Intelligence-Based Medical Data Mining. J. Pers. Med.
2022, 12, 1359. Https://doi.Org/10.3390/jpm12091359
Zia A, Aziz M, Popa I, Khan SA, Hamedani AF, Asif AR.
Artificial Intelligence-Based Medical Data Mining. Journal of Personalized
Medicine. 2022; 12(9):1359. Https://doi.Org/10.3390/jpm12091359
Zia, Amjad, Muzzamil Aziz, Ioana Popa, Sabih Ahmed Khan,
Amirreza Fazely Hamedani, and Abdul R. Asif. 2022. "Artificial
Intelligence-Based Medical Data Mining" Journal of Personalized Medicine
12, no. Nine: 1359. Https://doi.Org/10.3390/jpm12091359
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