A Fuzzification of Follicle Stimulating Hormone-Computerized Prediction

This study presents a novel computerized fuzzy equation model address the infertility diagnosis regarding reproductive hormone. Follicle Stimulating Hormone, profile during the female menstrual cycle of a non-pregnant, healthy, adult female. We classified standard normal reference range of FSH test value among low, normal and high category to predict FSH current status. This method predicts FSH status and gives computerized prediction. This will give simplicity and more exactness to medical expert"s predictions, traditionally these predictions are experience based decisions. This technique results better infertility management by means of more precise, straightforward and accurate analysis, this model effectively assesses FSH varieties all through the menstrual cycle. Fuzzification of this technique is followed by if-then rule and trapezoidal membership function.