Genetic Algorithms as a Tool for Assisting Medical Diagnosis in Oncology and Radiology

Authors

  • Dr. Madhur Jain  Assistant Professor, Department of Information Technology, Bhagwan Parshuram Institute of Technology, Delhi, India
  • Ms. Shilpi Jain  Assistant Professor, Department of Mathematics, ARSD College, University of Delhi, Delhi, India
  • Divyansh Rampal  Student, Department of Information Technology, Bhagwan Parshuram Institute of technology, Delhi, India
  • Ridhi Kalia  

DOI:

https://doi.org//10.32628/CSEIT23903113

Keywords:

Conventional Statistical Techniques. Metaheuristic Algorithms

Abstract

Data on medical diagnoses might be complex and challenging to interpret with conventional statistical techniques. Metaheuristic algorithms, like genetic algorithms, have been created recently to offer almost ideal solutions to challenging medical issues. Natural selection is mimicked by genetic algorithms, which are nature- inspired methods for finding the best answers to challenging issues. Although genetic algorithms are widely employed in other industries, their potential in medicine is yet largely unexplored. This article examines possible medical applications for genetic algorithms and provides a synopsis of the related research.

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2023-06-30

Issue

Volume 9, Issue 3, May-June-2023

Section

Research Articles

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Dr. Madhur Jain, Ms. Shilpi Jain, Divyansh Rampal, Ridhi Kalia, " Genetic Algorithms as a Tool for Assisting Medical Diagnosis in Oncology and Radiology , IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 9, Issue 3, pp.529-534, May-June-2023. Available at doi : https://doi.org/10.32628/CSEIT23903113