Application of Fuzzy Logic for Generating Interpretable Pattern for Diabetes Disease in Bangladesh

Author:

Kabir Hasibul,Ridwan Syed Nayeem,Mosharof Hossain A. T. M.,Tuktuki Nazia Hasan,Haque Farzan,Afrin Farzana,Rahman Rashedur M

Publisher

Springer International Publishing

Reference14 articles.

1. Medical Dictionary (2016) http://medicaldictionary.thefreedictionary.com/diabetes . Accessed 5 Jan 2016

2. Mythili, T., Naidu, A.B., Padalia, N., Jerald, S.: Identifying Influential Parameters for Diagnosis Diabetes. Int. J. Adv. Res. Comput. Sci. Softw. Eng. 3(2), 449–455 (2013)

3. Ambilwade, R.P., Manaza, R.R., Gaikwad, P.: Medical expert systems for diabetes diagnosis: a survey. Int. J. Adv. Res. Comput. Sci. Softw. Eng. 4(11), 647–652 (2014)

4. Tadic, D., Popovic, P., Đukic, A.: A fuzzy approach to evaluation and management of therapeutic procedure in diabetes mellitus treatment. Yugosl. J. Oper. Res. 20, 99–116 (2010)

5. Nnamoko, N., Arshad, F., England, D., Vora, J.: Fuzzy expert system for type 2 diabetes mellitus (T2DM) management using dual inference mechanism 2013. In: AAAI Spring Symposium, pp. 67–70 (2013)

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