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Sujatha V.,Vellore Institute of Technology | Prasanna Devi S.,Apollo Computer | Vinu Kiran S.,Apollo Computer | Manivannan S.,Drmgr Educational And Research Institute University
Procedia Computer Science | Year: 2016

In this paper, we had analyzed a large scale Diabetic data sets for several patients to find the length of time taken for treatment for each class of Diabetes and the risk of re-admission of diabetic patients performing Bigdata analytics, the type of diabetes and its outcome which acted as a high risk sample of patient data sets. We have collected and integrated different sources of diabetic information for several patients, from primary and secondary treatment information to administrative information, to analyze novel view of patient care processes such as type of treatments and every patient behaviors on which results multifaceted nature of chronic care that we take into our account to predict the survival factors and length of stay. Nowadays by using electronic medical equipments with high quality and high degree calibrations, we are able to gather large amounts of real-time diabetic data sets. The requires the usage of distributed platforms for making BigData analysis that results on making decisions based on available data and its trends. This type of Bigdata analysis allows geographical and environmental information of patients' enables the capability of interpreting the ethnicity of data gathered and extract new analysis to identify survival options and treatment timelines (LOS) from them. © 2016 The Authors. Source


Vinu Kiran S.,Apollo Computer | Prasanna Devi S.,Apollo Computer | Manivannan S.,Drmgr Educational And Research Institute University
Procedia Computer Science | Year: 2016

Agricultural geography is one of the subportion of human and our economic geography which examines the primary, secondary, tertiary and quaternary yield types activities that are carried out in agriculture. In this paper, we are examining the spatial distribution and concentration of crops and their yields along with their crop periods using Big data Analytics to find out the cropping patterns and combinations that varies in space and time. Our primary objective is to findout the crop associations and patterns under climatic influence for each geographical segmentation, to give better yeilds. The Big data analytic based association won't to last as many of the farmers and scientists are rightly challenging over the agricultural sustainability. However, there is a strong possibility of the farmers to adopt a new combination in the coming decades as the Big data analytic based crop pattern decision facilitates the farmers, always try to optimize their agricultural re-turns and adopt new innovations which gives better yeilds since we are performing factual data centric analytics. © 2016 The Authors. Source


Kasturi E.,M. S. University of Baroda | Prasanna Devi S.,Apollo Computer | Vinu Kiran S.,Apollo Computer | Manivannan S.,Drmgr Educational And Research Institute University
Procedia Computer Science | Year: 2016

Applying vital decisions for new airline routes and aircraft utilization are important factors for airline decision-making. For data driven analysis key points such as airliners route distance, availability on seats/freight/mails and fuel are considered. The airline route profitability optimization model is proposed based on performing Big data analytics over large scale aviation data under multiple heuristic methods, based on which practical problemsareanalysed. Analysis should be done based on key criteria, identified by operational needs and load revenues from operational systems e.g. passenger, cargo, freights, airport, country, aircraft, seat class etc., The result shows that the analysis is simple and convenient with concrete decision. © 2016 The Authors. Source


Vasuki R.,Bharath University | Hari R.,Drmgr Educational And Research Institute University
International Journal of Pharmacy and Technology | Year: 2014

The present study dealt with the investigation of anti-obesity and anti-diabetic effects of ethanolic extract of leaves of Solanum torvum (STE) using obese, diabetic-induced albino rats. The animals received either normal diet, high-fat diet or high-fat diet with additional STE for 12 weeks. After the end of administration, body weight, plasma glucose, insulin, and liver triglyceride, Cholesterol Content and antioxidant activity were measured. The result revealed that , compared to the high-fat diet group, increases in body weight, plasma glucose and insulin were significantly suppressed for STE groups.STE also proved to possess good antioxidant activity.These results suggest that STE is expected to be an useful plant extract for alleviating the adversse effect of obesity associated with diabetes mellitus. © 2014, International Journal of Pharmacy and Technology. All rights reserved. Source


Thamizharasan S.,Drmgr Educational And Research Institute University | Umamaheswari S.,Sri Ramachandra University | Hari R.,Drmgr Educational And Research Institute University | Ulagaratchagan V.,Madras Medical College
International Journal of Pharmacognosy and Phytochemical Research | Year: 2015

The medicinal properties of plants are due to some chemical substances that produce certain definite physiological action on the human body. These non-nutritive components are called phytochemicals. The qualitative analysis as well as quantification of phytochemicals of a medicinal plant is regarded as vital step in any kind of medicinal plant research. Bambusa arundinacea belongs to family Poaceae, seeds which has long been used by some tribal people of Tamilnadu as food and to treat several diseases. Young shoots and seeds are eaten as vegetable especially by the Kani tribe with wild pork based on the strong believe that it enhance fertility. The present study was carried out to estimate the total phenol and flavanoids in the seed extract.Phytochemical analysis of the seed extract of Bambusa arundinacea revealed the presence most of the phytochemicals tested for such as flavanoid, tannin, Steroids and phenol. The total phenolic content of the methanolic seed extract is found to be 15.5mg/100g and the total flavonoid contents of the seed extract is found to be 10.52 mg/100g. The presence of various phytochemicals in the tested plant reveals that this plant may be a good source for production of new drugs for various ailments. © 2015, International Journal of Pharmacognosy and Phytochemical Research. All rights reserved. Source

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