Search for Articles:

MECS Press Menu

Vijendra Singh

Work place: Computer Science and Engineering, The NorthCap University, Gurgaon, 122017, India

E-mail:

Website:

Research Interests: Computational Science and Engineering, Pattern Recognition, Data Mining

Biography

Singh Vijendra received his PhD degree in Engineering and M Tech degree in Computer Science and Engineering from Birla Institute of Technology, Mesra, Ranchi, India. He is currently working as an Associate Professor in the department of computer science and engineering at The NorthCap University, Gurgaon, India. Dr. Singh major research concentration has been in the areas of Data Mining, Pattern Recognition, Image Processing, Big Data and Soft Computation. He has more than 30 scientific papers in this domain. Singh Vijendra served as Editor of the International Journal of Multivariate Data Analysis, Inderscience, UK; International Journal of Internet of Things and Cyber-Assurance, Inderscience, UK; BMC Bioinformatics, Springer; Journal of Next Generation Information Technology, Korea; International Journal of Intelligent Information Processing, Korea; Research Journal of Information Technology, USA and Lead Guest Editor, Computational Intelligence in Data Science and Big Data, USA. He is a reviewer of Springer and Elsevier journals. He is a member of programme committee and technical committee of over 30 international conferences including: (SCDS2015), Malaysia; 2015 International Conference on Data Mining (DMIN15), Las Vagas, USA; (CISIA2015), Bangkok, Thailand; (ETCA2015), Beijing, China; (CIS 2015), Beijing, China; ENCINS' 2015, Casablanca, Morocco; ICCVIA, 2015, Sousse, Tunisia and eQeSS 2015, Dubai; DMIN14, USA; DMIN13, USA; DMIN12, USA.

Author Articles
Utilization of Data Mining Classification Approach for Disease Prediction: A Survey

By Divya Jain Vijendra Singh

DOI: https://doi.org/10.5815/ijeme.2016.06.05, Pub. Date: 8 Nov. 2016

Early diagnosis of a disease is a vital task in medical informatics. Data mining is one of the principal contributors in this discipline. Utilization of Data Mining Technology in Disease Forecasting System is a recognized trend and is successfully emerging in this domain. In today`s world, Heart Disease is the one of the most prevalent disease among people with a high mortality rate. It is essential to classify the reports of heart patients into correct subclasses to lower fatality rate. Over the years, Data mining classification and prediction approaches has been used extensively for disease prediction. This paper comes out with the compilation, analysis as well as comparative study of numerous classification approaches used for predictive analysis of several diseases. The goal of the survey is to provide a comprehensive review of the work done on disease prediction using different classification approaches in data mining.

[...] Read more.
Other Articles

Subscribe to receive issue release notifications and newsletters from MECS Press journals