Abstract

Applications of Artificial Bee Colony Algorithms and its Variants in Health Care

Author(s): Rehan Ahmad, Nadeem Akhtar and Nitin S Choubey

Artificial Intelligence (AI) is always in various domain of science, literature, animation, medical filed and other real world applications. AI makes the system to store large amount of data in a systematic manner and translate the information into functional tools as per the requirement of application. AI is in use for specific applications such as defense, space exploration, and medical science. The implementation of AI in healthcare is experienced through AI-based systems for more accurate and precise diagnosis, cure and treatment of debilitating conditions. Artificial Bee Colony [ABC] algorithm is a metaheuristics algorithm has been applied in various fields of health care in recent time. There are various techniques available for image processing of MRI images, noise removal techniques for EEG, ECG, EMG signals, detection of tumor, detection of breast cancer cell, all these have merits along with limitation. When these techniques are embedded with ABC algorithm their use can be extended in such a way that, they overcome their limitation and can be used in a broad domain.