Data analytics for frailty severity detection
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 w...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2020
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| Online Access: | https://hdl.handle.net/10356/137954 |
| _version_ | 1811683067255848960 |
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| author | Yap, Jun Hong |
| author2 | Shen Zhiqi |
| author_facet | Shen Zhiqi Yap, Jun Hong |
| author_sort | Yap, Jun Hong |
| collection | NTU |
| description | 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. |
| first_indexed | 2024-10-01T04:06:50Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/137954 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T04:06:50Z |
| publishDate | 2020 |
| publisher | Nanyang Technological University |
| record_format | dspace |
| spelling | ntu-10356/1379542020-04-20T07:13:36Z Data analytics for frailty severity detection Yap, Jun Hong Shen Zhiqi School of Computer Science and Engineering ZQShen@ntu.edu.sg Engineering::Computer science and engineering 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. Bachelor of Engineering (Computer Science) 2020-04-20T07:13:36Z 2020-04-20T07:13:36Z 2020 Final Year Project (FYP) https://hdl.handle.net/10356/137954 en SCSE19-0224 application/pdf Nanyang Technological University |
| spellingShingle | Engineering::Computer science and engineering Yap, Jun Hong Data analytics for frailty severity detection |
| title | Data analytics for frailty severity detection |
| title_full | Data analytics for frailty severity detection |
| title_fullStr | Data analytics for frailty severity detection |
| title_full_unstemmed | Data analytics for frailty severity detection |
| title_short | Data analytics for frailty severity detection |
| title_sort | data analytics for frailty severity detection |
| topic | Engineering::Computer science and engineering |
| url | https://hdl.handle.net/10356/137954 |
| work_keys_str_mv | AT yapjunhong dataanalyticsforfrailtyseveritydetection |