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Publication Type : Journal Article
Publisher : International Journal of Applied Engineering Research
Source : International Journal of Applied Engineering Research, vol. 10, no. 4, pp. 2948-2952, ISSN: 9734562
Campus : Chennai
School : School of Engineering
Department : Computer Science and Engineering
Year : 2015
Abstract : This paper has provided the detailed explanation on the Rheumatoid Arthritis (RA) data set analysis, significant levels and testing of PARCS parameters using T-test. In addition to that the linear relationships between these parameters were analyzed. From the correlation formulas and linear regression charts, the relationships between PARCS parameters have been clearly analyzed to find the positive and negative Correlations between these parameters. From the ANOVA exercise, the hypotheses have been validated for three different case studies. The statistical analysis shows that the patient status remains unchanged for case study II, which contains Moderate Moderate patient profile and also for case study III, which has Moderate-High patient profile with respect to RA status. Whereas for case study I, which deals with High-Normal data Set, the statistical analysis proves that every visit of the patient, the RA status is likely to change.
Cite this Research Publication : SP.Chokkalingam Komathy. K, Mohan Kumar. P, Durai Murugan. S Apr 2015, ‘Rheumatoid Arthritis Dataset Analysis and Case Studies’, International Journal of Applied Engineering Research, vol. 10, no. 4, pp. 2948-2952, ISSN: 9734562