Analysis and Detection of Diabetes Using Data Mining Techniques—A Big Data Application in Health Care-Reference-Cited by-同舟云学术

Analysis and Detection of Diabetes Using Data Mining Techniques—A Big Data Application in Health Care

Published:2019 Issue: Volume: Page:443-455
ISSN:2194-5357
Container-title:Emerging Research in Computing, Information, Communication and Applications
language:
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Author:

Mamatha Bai B. G.,Nalini B. M.,Majumdar Jharna

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-13-5953-8_37

Reference16 articles.

1. Raghupathi, W., & Raghupathi, V. (2014). Big data analytics in healthcare: Promise and potential. Health Information Science and Systems.

2. Diabetes Mellitus. https://en.wikipedia.org/wiki/Diabetes_mellitus .

3. Agicha, K., et al. Survey on predictive analysis of diabetes in young and old patients. International Journal of Advanced Research in Computer Science and Software Engineering.

4. Iyer, A., Jeyalatha, S., & Sumbaly, R. (2015, January). Diagnosis of diabetes using classification mining techniques. International Journal of Data Mining & Knowledge Management Process (IJDKP), 5(1).

5. Ankerst, M., Breunig, M. M., Kriegel, H.-P., & Sander, J. OPTICS: Ordering Points To Identify the Clustering Structure. Institute for Computer Science, University of Munic.

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