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Pneumonia Prediction Using Swarm Intelligence Algorithms

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Artificial Intelligence in Healthcare

Part of the book series: Advanced Technologies and Societal Change ((ATSC))

Abstract

In this chapter, a combination of swarm intelligence algorithms is used to diagnose pneumonia from a patient's x-ray report of lungs conditions. The ability of swarm intelligent algorithms to solve a wide range of problems. For the classification of the disease for this research, a feed forward neural network with swarm intelligent algorithms had been used. The capabilities of global optimization learning algorithms were investigated, along with their training and testing results. In the Chest X-Ray Images (Pneumonia) dataset with categorical and binary data, these optimizations comprise Genetic Algorithms (GA), Ant Colony Optimization (ACO), Particle Swarm Optimization (PSO), Differential Evolution (DE), Artificial Bee Colony (ABC), Glow worm Swarm Optimization (GSO), and Cuckoo Search Algorithm (CSA). The findings could help researchers quickly find the best algorithm for use in a Pneumonia medical dataset, with final accuracy ranging from 85 to 95 percent after all five final epochs.

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Author information

Authors and Affiliations

  1. Vignan’s Foundation for Science, Technology and Research, Vadlamudi, India

    R. S. M. Lakshmi Patibandla

  2. RVR&JC College of Engineering, Guntur, AP, India

    V. Sesha Srinivas

  3. Kallam Haranadhareddy Institute of Technology, Chowdavaram, India

    B. Tarakeswara Rao

  4. Anil Neerukonda Institute of Technology & Sciences, Visakhapatnam, AP, India

    M. Ramakrishna Murthy

Authors
  1. R. S. M. Lakshmi Patibandla
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  2. V. Sesha Srinivas
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  3. B. Tarakeswara Rao
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  4. M. Ramakrishna Murthy
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Editor information

Editors and Affiliations

  1. Information and Communication Technology, University of Malta, Msida, Malta

    Lalit Garg

  2. Faculty of Electrical Engineering and Computer Science, VSB-Technical University of Ostrava, Ostrava, Czech Republic

    Sebastian Basterrech

  3. Amity Institute of Information Technology, Amity University Rajasthan, Jaipur, Rajasthan, India

    Chitresh Banerjee

  4. Department of Computer Science, Shobhit University Gangoh, Gangoh, India

    Tarun K. Sharma

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Patibandla, R.S.M.L., Srinivas, V.S., Rao, B.T., Murthy, M.R. (2022). Pneumonia Prediction Using Swarm Intelligence Algorithms. In: Garg, L., Basterrech, S., Banerjee, C., Sharma, T.K. (eds) Artificial Intelligence in Healthcare. Advanced Technologies and Societal Change. Springer, Singapore. https://doi.org/10.1007/978-981-16-6265-2_7

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