Abstract
The study of patient behaviours (vital sign, physical action and emotion) is crucial to improve one’s quality of life. The only solution for handling and managing millions of people’s behaviours and health would be big data and IoT technology because most of the countries are lack of medical professionals. In this paper, a big data and IoT-based patient behaviour monitoring system have proposed. Qualitative studies are carried out on the selected behaviours analytics, cardiovascular disease identification and fall detection. At last, authors have summarised the general challenges like trust, privacy, security and interoperability as well as special challenges in various sectors: government, legislators, research institutions, information technology companies and patients.
| Original language | English |
|---|---|
| Pages (from-to) | 940-949 |
| Number of pages | 10 |
| Journal | Behaviour and Information Technology |
| Volume | 38 |
| Issue number | 9 |
| DOIs | |
| Publication status | Published - 2019 |
| Externally published | Yes |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- Behaviour analytics
- big data
- internet of things
- knowledge discovery
- machine learning analytics
- patient monitoring
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