Abstract
The advancement of exact wellbeing health condition prediction has been a key research subject starting late. In any case, current health condition expectation strategies are not exact enough, which has transformed into the bottleneck for accomplishing the full force of condition-based upkeep (CBM). Neural framework based systems have been seen as a promising class of strategies for health condition expectation. In this paper, we propose a neural system expectation model called artificial neural network based particle swarm optimisation (ANN-PSO) algorithm. Artificial neural network (ANN) classifier is utilised to identify the health condition. Moreover, particle swarm optimisation (PSO) algorithm is coordinated with ANN for giving better outcome by decreasing the errors. The outcomes show the capacity of the ANN-PSO based methodology for satisfactory health condition prediction results. This proposed approach is tested results using medical based big data in Hadoop framework. The proposed work is implemented in the working stage of JAVA.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal of Services Operations and Informatics
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
