Author:
Pavate Aruna,Nerurkar Pranav,Ansari Nazneen,Bansode Rajesh
Reference17 articles.
1. Pavate, A., Ansari, N.: Risk prediction of disease complications in type 2 diabetes patients using soft computing techniques. In: 2015 Fifth International Conference on Advances in Computing and Communications. IEEE, pp. 371–375 (2015)
2. Zainuddin, Z., Pauline, O., Ardil, C.: A neural network approach in predicting the blood glucose level for diabetic patients. World Academy of Science, Engineering and Technology, 2009, vol. 6, no. 50, pp. 981–988 (2009)
3. Silipo, R., Marchesi, C.: Neural techniques for ST-T change detection. In: Proceedings of Computers in Cardiology 1996, pp. 677–680 (1996)
4. Ng, B.A.: An intelligent approach based on principal component analysis and adaptive neuro fuzzy inference system for predicting the risk of cardiovascular diseases. In: 2013 Fifth International Conference on Advanced Computing (ICoAC). IEEE, pp. 241–245 (2013). 978-1-4799-3448-5/13
5. Geman, O., Chiuchisan, I., Toderean, R.: Application of adaptive neuro-fuzzy inference system for diabetes classification and prediction. In: The 6th IEEE International Conference on E-Health and Bioengineering—EHB 2017 Grigore T. Popa University of Medicine and Pharmacy, Sinaia, Romania, 22–24 June 2017
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