Researcher Marwa Mustafa Owais, a student in the Master's program in Data Science and Business Analytics, has defended her thesis titled "Automatic detection and prediction model for hypertension and diabetes using machine learning algorithms."
This study presents prediction models for high blood sugar and blood pressure using machine learning algorithms. The models were trained on a comprehensive dataset that includes various risk factors such as age, gender, body mass index, smoking status, physical activity, mental health, nutritional pattern, and other factors.
The study aims to create accurate and cost-effective screening tools for hypertension and diabetes, which are especially useful in developing countries. The importance of these models is not limited to facilitating early detection and intervention, but also helps reduce healthcare costs and improve public health outcomes.
The thesis was supervised by Dr. Amani Owda and co-supervised by Dr. Amjad Owda. The examination committee included Dr. Huthaifa Al-Ashqar and Dr. Mohammad Gebran.