• Rachapalli Vasavi
• Marisetti Niharika
• Mohammad Gousia
• Mulagada Gowri Priya
• Ommi Pavani Kalyani ,Dangety Sowjanya

Diabetes Mellitus is commonly known as Diabetes, a metabolic disease that is caused due to improper production of blood glucose, which is not produced by body on regular basis. Some of the major complications of diabetes are blindness, kidney damage and heart attack. This disease is identified as the second most common disease with around 77 million cases observed only in India, which makes it the second most affected in the World, after China. Some of the traditional approaches implemented by the health care professionals for predicting the diabetes are Fasting Plasma Glucose (FPG) Test or A1C and Random Plasma Glucose (RPG) Test, which are time taking procedures. Therefore to automate these processes, advanced technologies like Deep Learning and Artificial Intelligence are correlated with medical data to enhance this disease detection in Health Care Industry. The main objective of this model is to predict diabetes resulting in early detection of disease, ultimately decreasing the rate of diabetes patients. This model is developed using MLP classifier performing Binary Classification. The attributes in the dataset is considered from the FPG test reports which is primarily undergoing pre-processing technique. Later, the filtered dataset is loaded into the classifier to extract features used for further classification. The overall accuracy achieved by this model is about 77%.The classification reports of this model are to be displayed using Confusion Matrix and Data Visualization done using Bar Graphs and ROC Curve.

Diabetic Prediction, Deep Learning (DL), Fasting Plasma Glucose Test(FPG),A1C Test, Random Plasma Glucose Test(RPG),PIMA dataset, MLP Classifier, Binary Classification,Type 1 Diabetes, Type2 Diabetes, Gestational Diabetes,Confusion Matrix, Receiver Operator Characteristic (ROC).

"Classification of Diabetes Using MLP Classifier", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 5, page no.k658-k662, May-2022, Available :http://www.jetir.org/papers/JETIR2205B85.pdf

"Classification of Diabetes Using MLP Classifier", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 5, page no. ppk658-k662, May-2022, Available at : http://www.jetir.org/papers/JETIR2205B85.pdf