Descriptive Data Analysis of Contagious Diseases using Statistical Parameters

International Journal of Computer Science and Engineering
© 2019 by SSRG - IJCSE Journal
Volume 6 Issue 9
Year of Publication : 2019
Authors : Abhijeet Sudhakar, Rajendra B. Patil, Srivaramangai R

pdf
How to Cite?

Abhijeet Sudhakar, Rajendra B. Patil, Srivaramangai R, "Descriptive Data Analysis of Contagious Diseases using Statistical Parameters," SSRG International Journal of Computer Science and Engineering , vol. 6,  no. 9, pp. 1-6, 2019. Crossref, https://doi.org/10.14445/23488387/IJCSE-V6I9P101

Abstract:

Data Analytics techniques are popularly acceptable and widely preferred by researcher for analyzing the data. This includes descriptive analysis using statistical methods, classification techniques to segregate data, prediction to predict and various other techniques using data mining techniques. Data Analysis has its various applications widely applied in healthcare industry. Contagious diseases are a major concern for authorities; it runs rampant in places with less medical facilities. In order to curb them they need data of these diseases. To make the strategical decision and for necessary measures the authorities use different data mining techniques to discover the knowledge from the data. In this paper, the authors have analyzed the data using statistical methods and linear regression and time series methods. The data for contagious diseases for 5 years (2011-2015) is pooled from government website. As a result of this research strategical knowledge is generated that can be used for taking the necessary measures.

Keywords:

Data Analysis, Regression, Statistical techniques, Time Series, healthcare, contagious disease.

References:

[1] Vijayashree, J., and N. Ch SrimanNarayanaIyengar. "Heart disease prediction system using data mining and hybrid intelligent techniques: A review.", International Journal of Bio-Science and Bio-Technology, Vol. 8, No. 4, 2016, pp. 139-148.
[2] Dr. B. Umadevi, M. Snehapriya, “A Survey on Prediction of Heart Disease Using Data Mining Techniques”, International Journal of Science and Research (IJSR), Vol. 6, No.4, 2017, pp. 2228-2238.
[3] Sangeeta Oswal, Gokul Shah, “A Study on Data Mining Techniques on Healthcare Issues and its uses and Application on Health Sector”, International Journal of Engineering Science and Computing,Vol.7, No.6, 2017, pp.13536-13538.
[4] Shinde S.B , Amrit Priyadarshi , “Diagnosis of Heart Disease Using Data Mining Technique”, International Journal of Science and Research (IJSR),Vol.4, No.2, 2015, pp.2301-2303.
[5] Anchana Khemphila and Veera Boonjing, “Heart disease Classification using Neural Network and Feature Selection”,2011 21st International Conference on Systems Engineering IEEE, 2011, pp. 406-409.
[6] Theresa Princy. R and J. Thomas, “Human Heart Disease Prediction System using Data Mining Techniques”, 2016 International Conference on Circuit, Power and Computing Technologies [ICCPCT] IEEE, 2016.
[7] Rahul Deo Sah , Dr. Jitendra Sheetalani ,”Review of Medical Disease Symptoms Prediction using Data Mining Technique” , IOSR Journal of Computer Engineering, Vol. 19, No. 3,2017,pp. 59-70.
[8] Neesha Jothi et al, “Data Mining in Healthcare –A Review”, Procedia Computer Science,Vol. 72, 2015, pp. 306-313.
[9] Sheenal Patel and Hardik Patel, “Survey of Data Mining Techniques used in Healthcare Domain”, International Journal of Information Sciences and Techniques (IJIST), Vol.6, No.1/2, 2016, pp.53-60.
[10] Dr. Reza Sanati-Mehrizy et al, “A Study of Application of Data Mining Algorithms in Healthcare Industry‟, 120th ASEE Annual Conference &Exposition: American Society for Engineering Education, 2013, Paper ID #6905.
[11] M. Durairaj, V. Ranjani, “Data Mining Applications in Healthcare Sector: A Study”, International Journal of Scientific & Technology Research, Vol. 2, No. 10, 2013, pp.29-35.
[12] Bharati M Ramageri,”DataMining Techniques and Applications”, Indian Journal of Computer Science and Engineering, Vol. 1, No. 4, pp. 301-305.
[13] Mounika Naidu.P, C. Rajendra, “Detection Of Health Care using Datamining Concepts through Web”, International Journal of Advanced Research in Computer Engineering & Technology, Vol. 1, No. 4, 2012, pp.45-50.
[14] Farhad Soleimanian Gharehchopogh, Peyman Mohammadi, Parvin Hakimi,”Application of Decision Tree Algorithm for Data Mining in Healthcare Operations: A Case Study‟, International Journal of Computer Applications, Vol. 52, No.6, 2012, pp. 21-26.
[15] Kauser Ahmed P, “Analysis of Data Mining Tools for Disease Prediction”, Journal of Pharmaceutical Sciences and Research,
Vol. 9, No. 10, 2017, pp. 1886-1888.