Hybrid Deep Learning Model for Prediction of Systemic Lupus Erythematosus

Authors

  • M. Sobhana Department of Computer Science and Engineering. V. R Siddhartha Engineering College, Kanuru-520007, INDIA
  • Dodda Pragathi Department of Computer Science and Engineering. V. R Siddhartha Engineering College, Kanuru-520007, INDIA
  • Ginjupalli Naga Deepika Department of Computer Science and Engineering. V. R Siddhartha Engineering College, Kanuru-520007, INDIA
  • Yaswant Sai Kavuri Department of Computer Science and Engineering. Prasad V. Potluri Siddhartha Institute of Technology, Kanuru-520007, INDIA
  • Nihitha Vemulapalli Department of Computer Science and Engineering. V. R Siddhartha Engineering College, Kanuru-520007, INDIA
  • M. G. S. S. Venkatesh Department of Computer Science and Engineering. V. R Siddhartha Engineering College, Kanuru-520007, INDIA

Keywords:

Artificial Neural Networks, Genetic Algorithm, Systemic Lupus Erythematosus, Prediction

Abstract

Artificial Intelligence is widely used in health care to classify and predict diseases. Systemic Lupus Erythematosus (SLE) is the most common type of lupus and presents intricate challenges in accurate prediction due to its multifaceted nature. SLE is an inflammatory disease caused by the immune system attacking its tissues. Lupus most likely originates from a synthesis of genetics and environmental challenges. This study used the GEO dataset to develop an accurate and precise model for the prediction of SLE. However, choosing the right features is crucial in training a model. This study aims to enhance the predictive capabilities of SLE using a hybrid approach of Genetic Algorithm (GA) integrated with neural networks. The subset of features used by Artificial Neural Network (ANN) is optimized by feature selection using GA. The proposed model is GA-ANN, and experimental results indicate that the model performed well in comparison to other models, achieving an accuracy of 96.32%.

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Published

21.09.2023

How to Cite

Sobhana, M. ., Pragathi, D. ., Deepika, G. N. ., Kavuri, Y. S. ., Vemulapalli, N. ., & Venkatesh, M. G. S. S. . (2023). Hybrid Deep Learning Model for Prediction of Systemic Lupus Erythematosus. International Journal of Intelligent Systems and Applications in Engineering, 11(4), 583–590. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/3593

Issue

Vol. 11 No. 4 (2023)

Section

Research Article

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