Paper Title: Diabetes Mellitus Prediction using Different Ensemble Machine Learning Approaches Abstract: Nowadays Diabetes Mellitus is one of the most rapidly growing diseases which makes the biggest contribution to morbidity and mortality worldwide. Diabetes Mellitus is a group of metabolic disorders defined by high blood glucose level over a prolonged period. Although this disease is […]

Paper Title: Typical and Non-Typical Diabetes Disease Prediction using Random Forest Algorithm Abstract: A non-communicable disease Diabetes is increasing day by day at an alarming rate all over the world and it may cause some long-term issues such as affecting the eyes, heart, kidneys, brain, feet and nerves. It is really important to find an […]

Paper Title: Breast Cancer Risk Prediction using XGBoost and Random Forest Algorithm Abstract: Breast cancer is as one of the common and serious cause of death among women globally. This is a disease where the cells grow out of control inside the breast. Family History of cancer disease, physical inactivity, psychological stress, increase in breast […]

Paper Title: Emotion Detection of Twitter Post using Multinomial Naive Bayes Abstract: In research fields, emotion analysis and opinion mining using data from different platforms are up burning field. In this paper, we tried to represent sentiment of twitter data on core text. But tweets can only be in 140 characters, with lots of noise. […]