E-Health System Based on Statistical Equation Modeling
Amandeep Kaur1, Anuj Kumar Gupta2

1AmandeepKaur, Research Scholar ,Deptt of Computer Science &Engg Ikgptu Kapurthala, Punjab.
2Anuj Kumar Gupta, Professor, Dept of Computer Science &Engg, CGC, Landran, Punjab.

Manuscript received on September 16, 2019. | Revised Manuscript received on 24 September, 2019. | Manuscript published on October 10, 2019. | PP: 5175-5185 | Volume-8 Issue-12, October 2019. | Retrieval Number: L27761081219/2019©BEIESP | DOI: 10.35940/ijitee.L2776.1081219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: In this Research work, a design has been proposed for the Health Monitoring system that works with statistical equation models. The key advantage of this method is that it can work with different number of health parameters to through light on the health status of a person. The selection of the variables that will form the health monitoring model was done on the basis of three (Pearson, Kendall, spearman) correlation metrics. The root cause analysis based on OLS regression method confirms the mathematical relationship between the health indicators variables. It was found that visceral fat, as health indicator and as a dependent variable can act as function of seven other variables for knowing the health condition of a person. The validation of the model is done on the basis of multiple statistical tests.
Keywords:  E-health, Mathematical Modeling , Casual Analysis
Scope of the Article: Operational Research