Deep Learning and Machine Learning via a Genetic Algorithm to Classify Breast Cancer DNA Data

Authors

  • Noor Alhuda Khalid Hussein Department of Computer Science, College of Science, University of Baghdad, Baghdad, Iraq https://orcid.org/0000-0003-0039-8242
  • Basad Al-Sarray Department of Computer Science, College of Science, University of Baghdad, Baghdad, Iraq

DOI:

https://doi.org/10.24996/ijs.2022.63.7.36

Keywords:

deep learning, genetic, DNA, CNN, nd-preserving function, PNN, KNN , LSTM

Abstract

       This paper uses Artificial Intelligence (AI) based algorithm analysis to classify breast cancer Deoxyribonucleic (DNA). Main idea is to focus on application of machine and deep learning techniques. Furthermore, a genetic algorithm is used to diagnose gene expression to reduce the number of misclassified cancers. After patients' genetic data are entered, processing operations that require filling the missing values using different techniques are used. The best data for the classification process are chosen by combining each technique using the genetic algorithm and comparing them  in terms of accuracy.

Downloads

Download data is not yet available.

Downloads

Published

2022-07-31

Issue

Section

Computer Science

How to Cite

Deep Learning and Machine Learning via a Genetic Algorithm to Classify Breast Cancer DNA Data. (2022). Iraqi Journal of Science, 63(7), 3153-3168. https://doi.org/10.24996/ijs.2022.63.7.36

Similar Articles

1-10 of 952

You may also start an advanced similarity search for this article.