Genetic Algorithms as a Tool for Assisting Medical Diagnosis in Oncology and Radiology-Reference-Cited by-同舟云学术

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

Published:2023-06-01 Issue: Volume: Page:529-534
ISSN:2456-3307
Container-title:International Journal of Scientific Research in Computer Science, Engineering and Information Technology
language:en
Short-container-title:IJSRCSEIT

Author:

Dr. Madhur Jain ¹,Ms. Shilpi Jain ²,Divyansh Rampal ³,Ridhi Kalia

Affiliation:

1. Assistant Professor, Department of Information Technology, Bhagwan Parshuram Institute of Technology, Delhi, India

2. Assistant Professor, Department of Mathematics, ARSD College, University of Delhi, Delhi, India

3. Student, Department of Information Technology, Bhagwan Parshuram Institute of technology, Delhi, India

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.

Publisher

Technoscience Academy

Subject

General Earth and Planetary Sciences,General Environmental Science

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