A review of Medical Diagnostics Via Data Mining Techniques

  • Sarah Sameer Rasheed University of Baghdad, College of Science, Computer Science Department
  • suhad faisal 1University of Baghdad, College of Science, Computer Science Department
  • Iyden Kamil Mohammed University of Baghdad, Al-Khawarzmy Engineering College, Biomedical Department
  • Mustafa S. Abd University of Baghdad, College of Science, Computer Science Department
Keywords: Classification, Data mining, Decision tree, Hierarchical clustering, K-means

Abstract

Data mining is one of the most popular analysis methods in medical research. It involves finding patterns and correlations in previously unknown datasets. Data mining encompasses various areas of biomedical research, including data collection, clinical decision support, illness or safety monitoring, public health, and inquiry research. Health analytics frequently uses computational methods for data mining, such as clustering, classification, and regression. Studies of large numbers of diverse heterogeneous documents, including biological and electronic information, provided extensive material to medical and health studies.

Published
2021-07-31
How to Cite
Rasheed, S. S., faisal, suhad, Kamil Mohammed, I., & S. Abd, M. (2021). A review of Medical Diagnostics Via Data Mining Techniques. Iraqi Journal of Science, (7), 2401-2424. https://doi.org/10.24996/ijs.2021.62.7.30
Section
Computer Science