Hybrid of swarm intelligent algorithms in medical applications

• Main Authors: Abubakar, Adamu, Haruna, Chiroma, Abdullah Muaz, Sanah, Ya'u Gital, Abdulsalam, Baba Dauda, Ali, Joda Usman, Muhammed
• Other Authors: Abawajy, Jemal H.
• Format: Conference or Workshop Item
• Language: English; English
• Published: Springer Nature Singapore 2019
• Subjects: Q350 Information theory
• Online Access: http://irep.iium.edu.my/74294/1/Proceedings%2Bof%2Bthe%2BInternational%2BConfere.pdf; http://irep.iium.edu.my/74294/7/74294_Hybrid%20of%20Swarm%20Intelligent%20Algorithms%20in%20Medical%20Applications_scopus.pdf; http://irep.iium.edu.my/74294/; https://link.springer.com/chapter/10.1007/978-981-13-1799-6_63; https://doi.org/10.1007/978-981-13-1799-6_63

In this paper, we designed a hybrid of swarm intelligence algorithms to diagnose hepatitis, breast tissue, and dermatology conditions in patients with such infection. The effectiveness of hybrid swarm intelligent algorithms was studied since no single algorithm is effective in solving all types of...