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Deepthi, T.
- Blood Pressure Profiles of Apparently Healthy Children of Urban Private School of Central Karnataka, India
Authors
1 Department of Pediatrics, M S Ramaiah Medical College & Teaching Hospital, Bangalore, IN
2 Department of Pediatrics, S.S. Institute of Medical Sciences & Research Centre, Davangere, IN
3 Department of Pediatrics, Mysore Medical College & Research Centre, Mysore, IN
4 Department of Pediatrics, J J M Medical College, Davangere, IN
Source
International Journal of Physiology, Vol 2, No 1 (2014), Pagination: 85-90Abstract
Background: Hypertension is one of the most common disease prevailing in the developed and developing world and has its ischolar_mains in childhood and adolescence. Blood pressure levels vary with age, sex, height, weight, BMI, family history of hypertension, socio-economic status and ethnic groups.The aim of this study was to determine the blood pressure values in healthy school children of central Karnataka, India.
Method: Blood pressure data of 1651 urban school children (829 boys and 822 girls) in the age group of 6-16 years were analyzed to study the distribution pattern of systolic blood pressure(SBP) and diastolic blood pressure(DBP) at different age, sex, weight,height and BMI. The correlation coefficient and regression coefficient was calculated and prediction equation for systolic and diastolic blood pressure for that particular age, height,weight and BMI were obtained. Normograms according to age were established.
Results: The SBP and DBP tends to increase with age, weight, height and BMI. The blood pressure values (SBP and DBP) increased grossly after 11 years of age. In the normograms obtained in the study, 95% of the study population falls between mean+2SD and mean-2SD.
Conclusion: The blood pressure of children and adolescents can be evaluated using the reference table according to age. The table provided helps to classify as 'normal' or 'hypertension' (>+2SD).
Keywords
Blood Pressure, Normograms, Children,hypertension- Solving Imbalanced Data Problem with a New Approach
Authors
1 Aurora’s Technological and Research Institute, IN
2 Department of CSE, Aurora’s Technological and Research Institute, IN
Source
Digital Image Processing, Vol 3, No 1 (2011), Pagination: 43-46Abstract
In today’s real world domains, data is increasing at a rapid rate and growing exponentially. Domains like security, Internet, Banking, marketing, finance and others domains had continuous expansion of data. It is very difficult to understand and analyze this raw data.In order to understand this raw data we need some tools, techniques and methodologies so that we can make decision making process easily. There are many knowledge discovery techniques available but the problem of imbalanced data domains is a great challenge in every academy and industry. This imbalanced data problem deals how various algorithms can be applied on imbalanced data and considering their performance levels.Keywords
Assessment Metrics, Classification, Imbalanced Data, Synthetic Sampling Methods, Support Vector Machines.- Partitional Distance-Based Projected Clustering Algorithm
Authors
1 Department of Information Technology, Aurora's Technological and Research Institute, Hyderabad, IN