Body Mass Index Estimation by Using an Adaptive Neuro Fuzzy Inference System

Author:

Sancar Nuriye,Tabrizi Sahar S.

Publisher

Elsevier BV

Subject

General Engineering

Reference15 articles.

1. Efficient cancer classification using fast adaptive neuro-fuzzy inference system (FANFIS) based on statistical techniques;AnandaKumar;International Journal of Advanced Computer Science and Applications, Special Issue on Artificial Intelligence,2011

2. Chaudhari, S. P., Usmani, M. H., Baghel, P. K., & Jain, M. K. (2012). Clinical profile of metabolic syndrome with reference to insulin resistance (HOMA-IR). Journal, Indian Academy of Clinical Medicine, 287.

3. Impact of overweight on the risk of developing common chronic diseases during a 10-year period;Field;Archives of internal medicine,2001

4. Definition of metabolic syndrome report of the National Heart, Lung, and Blood Institute/American Heart Association Conference on scientific issues related to definition;Grundy;Circulation,2004

5. Kalaiselvi, C., & Nasira, G. M. (2014). A New Approach for Diagnosis of Diabetes and Prediction of Cancer Using ANFIS. In World Congress on Computing and Communication Technologies (WCCCT) (pp. 188-190). IEEE.

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