Design of a novel big data analytical model for processing the unstructured data contents
by Harika Vanam; R. Jeberson Retna Raj
International Journal of Services Operations and Informatics (IJSOI), Vol. 10, No. 4, 2020

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.

Online publication date: Wed, 18-Nov-2020

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