Abstract
Machine Learning and Data Science are high-demand fields these days. Also, to achieve state-of-the-art performances, machine learning models are usually required. The field of Artificial Intelligence (AI) and Machine Learning (ML) has a significant impact on modern life, particularly Healthcare. There is a great hope that AI can provide improvement in all areas of healthcare. Moreover, there is a huge demand for healthcare services worldwide and many countries are experiencing a shortage of physicians. It is believed that AI in healthcare can bring major improvements within the healthcare ecosystem. Building a web portal that can monitor the prediction of health diseases can be beneficial for many people to save time by predicting the presence of a disease on their own. These automated services can help physicians in diagnosing diseases.
In this project, the data for different health disease predictions are taken from UCI Machine Learning Repository which provides datasets to explore and build machine learning models. The data in the mentioned repository includes images and clinical data for Diabetes, Kidney disease, Heart disease, Liver disease, and Cancer.
Once the ML models are built, and linked to a web portal, end users can utilize this portal to enter different health parameters relating to disease. Based on these inputs, the system can predict whether the user is likely to have the disease. Using this web service, users can select their preferred threshold as a sensitivity marker for the presence of disease to predict the likelihood of having the disease.