International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 118 - Number 19 |
Year of Publication: 2015 |
Authors: Madiha Khurram Pasha, Sidrah Yousuf |
10.5120/20853-3565 |
Madiha Khurram Pasha, Sidrah Yousuf . Analysis based on Bayesian Model of the Spatial Variation of Hospitalization Admissions for Hypertension Disease in Karachi, Pakistan. International Journal of Computer Applications. 118, 19 ( May 2015), 21-25. DOI=10.5120/20853-3565
Hypertension, also known as Arterial Hypertension (HTN), is a long term and constant disease in which pressure of blood in the arteries is higher than the normal condition of its flow. Normally Blood pressure is measured by two levels i. e. Contraction (Systole) and relaxation (Diastole), these two are the maximum (Systolic) and minimum (Diastolic) blood pressure conditions. Hypertension can defaced the body organs and also lead many other illnesses and diseases like kidney failure, Heart attack and Heart failure etc. in middle age high rate of blood pressure may cause the severe decline in during the whole life time. For the purpose to calculate the spatial variation; to measure specific quantity at varies locations with the help of Descriptive Statistics by using Bayesian Model which reveals and identify some unique values and range of hospitalization admission for hypertension disease across Karachi city of Pakistan. This study of spatial variation of hospitalization admissions for hypertension disease is basically a framework which being developed for the specific purpose to control the high risk of hospital admissions in certain areas and aware about its varies rise and fall in the specific regions as well as provide useful information for concerned authorities and administrators in health department for its betterment and implementation to enhance the ease for hospital admission and reduce the rate of hypertension in certain age group. After this research further modification in the related title should explain the spatial patterns and in this regard should have some detailed and vast collection of Hypertension disease hospitalization records and data. [2][6]