Rheumatoid Arthritis (Ra) Using Hybrid Artificial Bee Colony (Hyarbc) of Fuzzy Cognitive Map (Fcm) (Hyarbc-Fcm) With Gene Datasets

1Dr.R. Rajeswari, Dr.P. Subhashini and R.S. Padma Priya

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Abstract:

Rheumatoid Arthritis (RA) is a severe autoimmune syndrome that damages both the joints and muscles of the body and can lead to disruption of joints and its function. Initial prediction of RA is very significant for avoiding the progression of the disease. Single Nucleotide Polymorphism (SNP) techniques utilize RA biomarkers to show the importance of the outputs. The major target of this study is to build prediction of Hybrid Artificial Bee Colony (HYARBC) of Fuzzy Cognitive Map (FCM) (HYARBC-FCM) technique that identifies the crucial part of RA taking the medical experts knowledge into consideration and further experience with the help of HYARBC and FCM methods to easily predict the RA for the purpose of gene profiles. This work uses the type named decision support which is built for the diagnostic process of RA with gene expression using HYARBC and the soft computational method of FCM. The FCM type is constructed by the HYARBC technique. There is a possibility of stabilizing the predetermined FCM topology and determined weights as per the stated topology. The changes carried out in the HYARBC algorithm have two significant aspects. Initially, the local search is guided efficiently by the data from the global optimal outputs and its gradient as a step by step process. The global optimal output provides maximum efficiency of ABC algorithm, by losing its diversity. Following that, with the inspiration of genetic algorithm, the resource nectar is converted into an innovative matrix with the process of selection the nectar resource is converted into an innovative adjacency matrix with 3 processes namely selection, crossover and mutation, that produces diversity of individuals and utilization of prior adjacency matrix for enhancing the broad search capability of the ABC technique. It is possible to elaborate the general correlation between the significant (concepts) that identify the system’s behaviour dynamically. Meanwhile, RA issue can be avoided from passing through modern phases and the risk of building persistent and erosive arthritis for these victims would be minimized.

Keywords:

Mobile Computing, Pervasive Computing, Urban Development, Virtual Reality, Mobile Crowd Sourcing Technologies.

Paper Details
Month3
Year2020
Volume24
IssueIssue 5
Pages1730-1741