• Kalpana Swapnil Gilda
• Shrikant Satarkar

Anemia is very common blood disorder worldwide. Iron and B12 deficiency type of anemia is mostly observed with similar symptoms. A system is needed to diagnose anemia so that patient will get proper treatment on time. Fuzzy expert system, assisted by concern domain expert, provide effective means for conflict resolution of multiple criteria and better assessment of options. This paper presents fuzzy expert system for detection of nutritional deficiency anemia with all possibilities. The system takes four lab parameters as input and gives output as anemia type divided into twelve different categories. Rule base is developed under the guidance of expert physician. Mamdani inference mechanism with Best of Maxima as defuzzification method is used. The system is implemented in Matlab and tested on 150 patient’s data. Results of system are compared with diagnosis of expert.

Fuzzy expert system, Anemia, MCV, Iron, B12

"Fuzzy Expert System for detection of nutritional deficiency Anemia", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 5, page no.i359-i363, May-2022, Available :http://www.jetir.org/papers/JETIR2205953.pdf

"Fuzzy Expert System for detection of nutritional deficiency Anemia", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 5, page no. ppi359-i363, May-2022, Available at : http://www.jetir.org/papers/JETIR2205953.pdf