SITI MASTURA BINTI MOHAMED HUSSAIN
Siti Mastura is currently completing her final year in University Science Malaysia doing Bachelor of Computer Science. Specializing in Intelligence System, Siti is very fond collaborating them with other domain such as computer vision and natural language processing in her projects. She also learnt the in depth about knowledge management and engineering and multimedia system during her years in USM. Exploring the Human-computer interaction and health-care, recently Siti developed a project called location-based cardiac emergency system with AI features also known as CES. Siti Mastura is intensely finding role as web developer perhaps focusing on intelligence system or so.
Matrix No:
137165
Student Email:
Supervisor:
Dr. Pantea Keikhosrokiani
Supervisor Email:

SC053
A location-based cardiac emergency system with Artificial Intelligence (AI) features
Malaysia is a country with people from different backgrounds and culture. Through this landscape, Malaysia is known to be a country with many different types of food and cuisine and lifestyles. Ischaemic heart diseases remained as the principal causes of death. Ischaemic heart diseases or commonly known as coronary heart disease is a class of diseases that involves the heart or blood vessels. Malaysians faces similar health risks with its neighbours in the same region and much so with many other parts of the world. People of age group 40 and above had the highest percentage to be infected with this disease and the number of people suffering from heart disease is on the rise. Heart patient needs 24 hours of monitoring. Heart patients need proper and continuous care, which would improve patient's long-term health, especially for chronic heart patients.
Patients especially aged ones struggles to find nearest healthcare centre during an emergency or for consultation with doctor. It is also difficult for patients to notify an ambulance of their location during the need immediate medical attention. With the development of technologies such as, mobile computing, wireless sensor network and mobile healthcare telemedicine systems, the required medical care and medical consultation can be provided easily and remotely. As a solution, a location-based cardiac emergency system with Artificial Intelligence (AI) features or called CES is developed. CES is web-based system where which is featured with AI. The users' biomedical data prompted using existing dataset. All the biomedical data will then be sent to the system database. The system includes heart disease patient's biomedical data along with the current location of the patient. The system will prioritize and classify patient's condition. In addition, based on the patient's location nearest hospitals will be shown.