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Deep Learning Enabled Whale Optimization Algorithm for Accurate Prediction of RA Disease

By
K. Prabavathy ,
K. Prabavathy

Department of Data Science and Analytics, Sree Saraswathi Thyagaraja College, Pollachi

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M. Nalini ,
M. Nalini

Department of Computer Science, Rathinam College of Arts and Science, Coimbatore

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Abstract

Whale Optimization Algorithm (WOA) is an optimization technique and based on food foraging behavior of whales. It has been applied in many domain including processing of images, framework controls, and ML (machine learning). WOA assists in choosing the right parameters required for Deep Neural Networks. This work uses DNN to examine metacarpophalangeal (MCP) rheumatoid joint discomforts in patients from diagnostic medical images including X-rays or Magnetic Resource images. The use of WOA enhances resultant outcomes of DNN as it searched for optimal solutions within search spaces, instead of getting trapped in local minima found by gradient descent. The combination of WOA and DNN for grading MCP rheumatoid arthritis can provide an efficient and accurate solution for medical practitioners and researchers

How to Cite

1.
Prabavathy K, Nalini M. Deep Learning Enabled Whale Optimization Algorithm for Accurate Prediction of RA Disease. Salud, Ciencia y Tecnología - Serie de Conferencias [Internet]. 2024 Mar. 7 [cited 2024 Apr. 25];3:652. Available from: https://conferencias.saludcyt.ar/index.php/sctconf/article/view/652

The article is distributed under the Creative Commons Attribution 4.0 License. Unless otherwise stated, associated published material is distributed under the same licence.

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