Electronic ISSN 2287-0237

VOLUME

DIAGNOSIS OF METABOLIC SYNDROME USING RADAR CHART

FEBRUARY 2019 - VOL.15 | ORIGINAL ARTICLE
  1. Third Report of the National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III) Final Report. Circulation. 2002;106(25):3143.

  2. McCracken E, Monaghan M, Sreenivasan S Pathophysiology of the metabolic syndrome. Clin Dermatol. 2018; 36(1): 14-20.

  3. Third Report of the National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III) Final Report. Circulation. 2002;106(25):3143.

  4. Grundy SM, Brewer HB, Jr, Cleeman JI, et al. Definition of metabolic syndrome: Report of the National Heart, Lung, and Blood Institute/American Heart Association conference on scientific issues related to definition. Circulation. 2004;109(3):433-8.

  5. Huang PL. A comprehensive definition for metabolic syndrome. Dis Model Mech. 2009;2(5-6):231-7.

  6. Kaur J. A comprehensive review on metabolic syndrome. Cardiol Res Pract 2014;2014:943162.

  7. Onesi SO, Ignatius UE. Metabolic syndrome: Performance of five different diagnostic criterias. Indian J Endocrinol Metab. 2014;18(4):496-501.

  8. Jeong S, Jo YM, Shim SO, et al. A novel model for metabolic syndrome risk quantification based on areal similarity degree. IEEE Trans Biomed Eng. 2014;61(3):665-79.

  9. Kakudi HA, Loo CK, Pasupa K. Risk Quantification of Metabolic Syndrome with Quantum Particle Swarm Optimisation. Proceedings of the 26th International Conference on World Wide Web Companion; Perth, Australia. 3054935: International World Wide Web Conferences Steering Committee; 2017;1141-7.

  10. Saaty RW. The analytic hierarchy process-what it is and how it is used. Mathematical Modelling. 1987;9(3):161-76.

  11. Strassle P, Hess AS, Thom KA, et al. Assessing sensitivity and specificity in new diagnostic tests: the importance and challenges of study populations. Infect Control Hosp Epidemiol. 2012;33(11):1177-8.

  12. Huang TT, Nansel TR, Belsheim AR, et al. Sensitivity, specificity, and predictive values of pediatric metabolic syndrome components in relation to adult metabolic syndrome: the Princeton LRC follow-up study. J Pediatr. 2008;152(2):185-90.

  13. Parikh R, Mathai A, Parikh S, et al. Understanding and using sensitivity, specificity and predictive values. Indian J Ophthalmol. 2008;56(1):45-50.

SEARCH VOLUME & NUMBER
GO
RECENT VOLUME & NUMBER