Data analytics for frailty severity detection

• Main Author: Yap, Jun Hong
• Other Authors: Shen Zhiqi
• Format: Final Year Project
• Language: English
• Published: Nanyang Technological University 2020
• Subjects: Engineering::Computer science and engineering
• Online Access: https://hdl.handle.net/10356/137954
• Institution: Nanyang Technological University

Elderlies’ healthcare has always been a vital issue to the people in Singapore. Frailty is a common but severe multi-dimensional syndrome that happened mainly among the elderlies. Frailty has been proven to confer high risks for diseases, falls, disability, hospitalisation and mortality. With this web application system, family members, caregivers, doctors and nurses can monitor elderlies’ progress and have a clear view of the data records of the treatment/test that the elderlies are currently undergoing. The project aims to provide a platform for the elderlies in Singapore to have the capability to keep track their performance and records through a web application system. And gather the data obtained from the elderlies and analyse using data analytical methods on their frailty level so that preventive measures can be implemented for the elderlies to prevent frailty. This web application system includes functionalities such as, login, registration, physical activity timetable for elderlies, generate diagnosis report, store data, analyse and display data in a graphical user-friendly visualisation to the user in an intuitive manner. In this project, Python, Django framework, Django REST framework API, JavaScript, Bootstrap framework and Amazon web server were utilized.