Published Paper Details:

As everything becomes increasingly digitalized in this rapidly Human healthcare is one of society's most important issues. To ensure that patients receive the care they require as quickly as possible, it searches for the best diagnosis and thorough disease. Therefore, predicting diseases in their early stages is frequently a difficult undertaking. In order to do this, we would like to present a methodical viewpoint on the use of machine learning in the diagnosis of human diseases. Human Disease Detection using Machine Learning is a system that utilizes advanced algorithms and statistical models to predict diseases based in symptoms and other information entered by a user. The Disease Prediction system is built using Python Programming Language and incorporates a dataset from hospitals to train the Machine Learning model. The system utilizes Tkinter Interface, a Python module for creating graphical user interfaces, to provide a user-friendly and intuitive experience. Overall, the system is a valuable tool for the health care industry and individuals seeking to manage their health. It incorporates the fields of data mining, artificial intelligence, big data, and ML to make diagnoses, providing a cutting-edge approach to disease detection and prevention.