Heart Disease Monitoring System

Heart diseases are a major cause of mortality and morbidity. The high mortality rate and in survivors the high rate of disabilities is a social and economic burden on the Canadian economy. A faster detection of these life-threatening events and an earlier start of the therapy would save many lives and reduce successive handicaps. There is an urgent clinical need for (i) early detection and automatic classification of cardiac disease, (ii) the efficient monitoring of heart disease patients to provide warning if the state of the heart patient changes. The patient can also chat with our AI chatbot called CardiaBot about their heart health after they filled out the form by clicking the "Chat with CardiaBot" button.

The heart attack analysis dataset is used in this study. The dataset contains information about 304 patients and 13 risk factors and heart attack risk output. The output response is the heart stroke risk presented by 1 and 0, there is risk and no risk respectively. The 13 risk factors used for the prediction of heart attack risk are as follows: age, gender, chest pain type, resting blood pressure, cholesterol, fasting blood sugar, resting electrocardiographic result, maximum heart rate achieved, exercise-induced angina, ST depression induced by exercise relative to rest, number of major vessels, thalassemia.

Through this research project, we created a system that can help clinicians significantly in predicting stroke risk in patients and also monitor it. We created a web application that can employ the recommender system machine learning model that we created to predict heart stroke risk levels and rank them and display them to the patients in an interactive interface. The system also generates a clinical PDF report to aid the clinician. All the patient data is stored on the system in a secure database hence ensuring ease and availability for clinicians to access patient records in the future.

CardiaBot, the chatbot developed by MamatjanLab, offers patients personalized insights into their heart health based on the information provided through the form. By analyzing their input, CardiaBot helps patients understand key aspects of their heart health and offers advice tailored to each individual. Patients can ask anything from CardiaBot, and all of their information is encrypted, as privacy and security are of utmost importance to MamatjanLab.

MamatjanLab also provides a map that helps patients locate hospitals near them with ease. The interactive map displays all nearby hospitals with their addresses, allowing patients to find the medical care they need swiftly. This feature is designed to give users quick access to the best healthcare facilities in their vicinity.

Our patients can also collect their information from a smartwatch. We use Samsung Galaxy Watch 5, which is FDA approved, to collect blood presssure and ECG. This makes data collection much easier, as the patient can collect their data with the click of a button rather than using lots of complex machinery, however, it is impo to note that this is still in the research phase and we are not using this for diagnosis.