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Articles by Shanthi Selvaraj
Total Records ( 2 ) for Shanthi Selvaraj
  Geetha Ramani and Shanthi Selvaraj
  Road accident analysis is very challenging task and investigating the dependencies between the attributes become complex because of many environmental and road related factors. Use of feature selection algorithms such as feature ranking, Fisher’s test, CFS etc which are using chi square test to find the statistical significance level of features is prevalent in data mining applications but it has been noted that such arbitrary usage may not be appropriate always. While analyzing the available data, sparse information may also be an issue wherein the study tends to use an option to probe the associations more rationally using Random Effect Model (REM). This approach could be much useful in understanding the rules of statistical significance that may be shadowed in other methods, especially chi square analysis. Results have shown the possible association together with amount of heterogeneity between the important variables involved in a data set related to road accidents that have occurred in Coimbatore, Tamil Nadu, India. Further, comprehensive analytical algorithms that are implemented in R have been provided to facilitate the approach for future replications.
  Shanthi Selvaraj , K. Abarna , KP. Deepak Raj , N. Janapritha and T. Kalaikuamaran
  Human resources is the backbone of developing and under developed nations. In most of the developing countries and in the smart cities medical system is not centralized for sharing the information. Mostly pregnant women is not able to do their regular check-ups at the early stage of pregnancy and this leads to higher mortality rate in case of infant and maternal in the rural areas. Due to these issues, the society is facing an immense health problem. In the existing method the people in the rural areas find difficult to travel over miles to have a doctor consultation if, so having a doctor consultation they are exposed to ultrasound scan and along with that some vital signs is measured and it is processed by Bluetooth technology. In order to overcome these issue, various sensors are used to measure the vital parameters such as blood pressure, blood glucose level and heart beat rate. The aim is to develop a compact Near Field Communication (NFC) device for rural pregnant women in order to access the vital signs of maternal and foetus with low cost using recent sensors and IoT.
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