Data Analytics in Ubiquitous Sensor-Based Health Information Systems
Abstract
Sensor-based intelligent and ubiquitous systems are important in the context of "Intelligent Infrastructures". In this scenario, healthcare is one area where sensors and mobile platforms will become more useful and the application must have the capability of analysing the data feeds from sensors to extract useful meanings. Various data analytics methods such as data-mining techniques or stream processing and continuous event processing techniques are useful in this regard. This paper is a broad survey article where we look into the emerging trends in Ubiquitous Healthcare Information Systems focussing on the use of analytics techniques to cluster patients into similar groups, or to process streaming data for detecting abnormal medical conditions as early as possible. Considering the size of the population and hence the volume of data, there are several architectural challenges such as scalability and availability of the platforms and support for "big-data" handling. We try to summarise how these problems have been addressed and whether the solutions are adequate or not.
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For health monitoring typically including healthy individuals, prediction and anomaly detection are used.
“For health monitoring which typically include healthy individuals who want to ensure the maintenance of good health, prediction and anomaly detection are used in the literature [22].”
From Data Mining for Wearable Sensors in Health Monitoring Systems: A Review of Recent Trends and Challenges (2013) · cites this paper as [22]
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- Authors
- Mukherjee, A., Pal, A., & Misra, P.
- Affiliations
- Tata Consultancy Services (India) (IN)
- Venue
- 2012 Sixth International Conference on Next Generation Mobile Applications, Services and Technologies
- Publisher
- IEEE
- Published
- 2012-09
- Pages
- 193-198
- OpenAlex
- W1994229713
- Cited by
- 35
- References
- 26
- Citations by year
- 2024: 4 · 2023: 4 · 2022: 1 · 2021: 2 · 2020: 1 · 2019: 3 · 2018: 5 · 2017: 4 · 2016: 8 · 2015: 2 · 2013: 1
- FWCI
- 1.80
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- International Conference on Next Generation Mobile Applications, Services and Technologies (NGMAST) (publishedVersion)
- Topics
- Health Sciences › Health Professions › Health Information Management › Artificial Intelligence in Healthcare
- Physical Sciences › Computer Science › Computer Networks and Communications › Wireless Sensor Networks for Data Analysis
- Health Sciences › Health Professions › Health Information Management › Innovation in Digital Healthcare Systems
- Keywords
- ubiquitous healthcare, data analytics, patient clustering, stream processing, big data, scalability, smart infrastructure, mobile health platform
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