Composite Artificial Intelligence

5AI-Driven Hybrid Ant Colony and Golden Jackal Optimization Algorithm for Lung Disease Prediction and Classification

Karthikeyan A.^1*, Pradeep S.¹, Boorneush M.¹ and Dhivya P.²

¹Department of Electronics and Communication Engineering, SNS College of Technology, Coimbatore, India

²Department of Electronics and Communication Engineering, Bannari Amman Institute of Technology, Sathyamangalam, Erode, Tamil Nadu, India

Abstract

The number of lung disease cases is rising daily, yet no country has yet developed an effective solution. When the disease gets inside the body, it infects the respiratory system. Early diagnosis and screening programs help with lung disease management, which lessens the burden on healthcare systems. Promising techniques have been presented by recent studies; they are applicable in the current pandemic scenario. In terms of genuine positive rate, they do not, however, yield results that are satisfactory. Better optimization techniques are also needed to increase precision rate while minimizing the time duration of prediction. To overcome this issue, the suggested method created a hybrid optimization algorithm – the Ant Colony Optimization Algorithm combined with the Golden Jackel Optimization Algorithm – which utilizes a lung image to forecast the severity of lung disease. The lung disease dataset is utilized as the initial input, and is pre-processed by dataset logic to identify the age of the patient, whether this is a male or a female affected with dataset ...