Published Paper Details:

One of the most important goals is to develop a medical diagnosis system for disease prediction. Machine learning techniques and technologies have been effectively applied in a variety of areas, including medical diagnostics. Machine learning algorithms may be extremely useful in developing a health system to address health-related issues, such as assisting doctors in diagnosing diseases at an early stage. Diabetes is a chronic disease marked by high blood sugar levels. It has the potential to induce a variety of serious illnesses, including stroke, kidney failure, and heart attacks. When our blood oxygen level falls below the normal range, we may experience hypoxemia symptoms. It could result in a slew of complications. Heart disease, heart attack, stroke, neuropathy, nephropathy, retinopathy and vision loss, hearing loss, and so on are all symptoms of heart disease, heart attack, or stroke. This research focuses on a review of machine learning techniques for predicting diabetes and hypoxemia disease.