
Review of medical diagnostics via data mining techniques
Author(s) -
Sarah Sameer Rasheed,
Suhad Faisal,
Iyden Kamil Mohammed,
S. Mustafa
Publication year - 2021
Publication title -
iraqi journal of science
Language(s) - English
Resource type - Journals
eISSN - 2312-1637
pISSN - 0067-2904
DOI - 10.24996/ijs.2021.62.7.30
Subject(s) - data mining , cluster analysis , computer science , data science , medical research , knowledge extraction , analytics , machine learning , medicine , pathology
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 medical and health studies.