Feature selection technique applied in Medical application by Supervised algorithm: A Review
Basna Mohammed Salih Hasan & Nawzat Sadiq Ahmed
Feature selection is a strategy for preprocessing that determines the main features of a specific problem. Traditionally, it has been employed across a variety of topics, including biological data analysis, finance, and intrusion detection systems. In addition to minimizing dimensionality, FS was successfully used in medical systems, which often enable one to consider the causes of the disease. In this paper, a review started to describe some basic concepts related to medical applications and provide some necessary background information on feature selection and reviewed more than ten articles of the FS in the medical field that have been introduced and published in the last years.
Keywords: Supervised Algorithm, Dimensionality Reduction, Features Selection, Medical Imaging.
|Title:||Feature selection technique applied in Medical application by Supervised algorithm: A Review|
|Author:||Basna Mohammed Salih Hasan & Nawzat Sadiq Ahmed|
|Journal Name:||International Journal of Science and Business|
|ISSN:||ISSN 2520-4750 (Online), ISSN 2521-3040 (Print)|
|Date of Publication:||16/02/2021|
|Paper Type:||Literature Review|
Cite This Article:
Hasan, B. M. S. & Ahmed, N. S. (2021). Feature selection technique applied in medical application by supervised algorithm: A Review. International Journal of Science and Business, 5(3), 190-203. doi: https://doi.org/10.5281/zenodo.4543647
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About Author (s)
Basna Mohammed Salih Hasan (corresponding author), Technical College of Informatics Akre, Duhok Polytechnic University, IT Department, Duhok, Kurdistan Region, Iraq. Email: email@example.com
Dr. Nawzat Sadiq Ahmed, Department of Information Technology Management, Technical College of Administration, Duhok University, Kurdistan Region, Iraq.