Fuzzy-Based Predictive Analytics for Early Detection of Diabetes
Author:
Affiliation:
1. Sreenidhi Institute of Science and Technology, India
2. Jawaharlal Nehru Technological University, India
3. Mamatha Medical College, India
Abstract
Publisher
IGI Global
Reference44 articles.
1. Aljumah, Ahamad, & Siddiqui. (2012). Application of data mining: Diabetes health care in young and old patients. Journal of King Saud University – Computer and Information Sciences, 25, 127–136.
2. Optimizing the modified fuzzy ant-miner for efficient medical diagnosis
3. Design of fuzzy classifier for diabetes disease using Modified Artificial Bee Colony algorithm
4. Bhat, Rao, & Shenoy. (2009). An Efficient Prediction Model for Diabetic Database Using Soft Computing Techniques. In Architecture. Springer-Verlag.
5. Buckley, Feuring, & Hayashi. (n.d.). Multivariate non-linear fuzzy regression: an evolutionary algorithm approach. International Journal of Uncertainty.
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