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ISSN: 2634-8853 | Open Access

Journal of Engineering and Applied Sciences Technology

An Advanced Mobile Application Powered with Machine Learning to Provide Improved Healthcare Services
Author(s): Vijayalakshmi K1*, Mohammed AL Balushi1, Mohsina Kamarudeen1, Marwa Ibrahim Al Sinani1
and Arwa Ibrahim Al Sinani2
Healthcare mobile applications are widely accepted by the health care organizations and patients due to user friendliness, low cost, reliable etc. Mobile Applications powered by artificial intelligence for processing health data and analysis can save cost and time for the diagnosis and management of diseases and makes health care more effective and efficient. Across the world many are affected by diabetes and hypertension and most of them do not have enough information about their diseases to manage and control them. Selecting suitable food, booking appointments and managing blood pressure and diabetes are major issues in managing diabetes and blood pressure. So a mobile application is developed using Google flutter framework with firebase database. The application focuses on managing the appointments for all types of patients, and monitoring diabetes and blood pressure to control and manage their diseases. The application helps the patients to book their appointments based on the crowd level on the selected date and to make emergency calls. This also provides food recommendation for patients based on its nutrition score, fat, protein and carbohydrate. It will improve patient’s lifestyle by having an education source in their hands to avoid the complications of various diseases.