ArticleJournal of medical systems2015
A Semantic Big Data Platform for Integrating Heterogeneous Wearable Data in Healthcare.
Article in Journal of medical systems, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 3 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
19 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Exploring the application boundaries of LLMs in mental health: a systematic scoping review.Frontiers in psychology · 2025Pooled it
- Factors Affecting the Quality of Person-Generated Wearable Device Data and Associated Challenges: Rapid Systematic Review.JMIR mHealth and uHealth · 2021Pooled it
- Decision-Making based on Big Data Analytics for People Management in Healthcare Organizations.Journal of medical systems · 2019Pooled it
- Frontiers of Wearable Biosensors for Human Health Monitoring.Biosensors · 2023Article
- Characterizing terminology applied by authors and database producers to informatics literature on consumer engagement with wearable devices.Journal of the American Medical Informatics Association : JAMIA · 2023Article
- Embedded Sensor Systems in Medical Devices: Requisites and Challenges Ahead.Sensors (Basel, Switzerland) · 2022Article
- Detection and Monitoring of Viral Infections via Wearable Devices and Biometric Data.Annual review of biomedical engineering · 2022Review
- Diffusion of a Lifelog-Based Digital Healthcare Platform for Future Precision Medicine: Data Provision and Verification Study.Journal of personalized medicine · 2022Article
- Concept and Proof of the Lifelog Bigdata Platform for Digital Healthcare and Precision Medicine on the Cloud.Yonsei medical journal · 2022Article
- A scalable, secure, and interoperable platform for deep data-driven health management.Nature communications · 2021Article
- Wearable Battery-Free Perspiration Analyzing Sites Based on Sweat Flowing on ZnO Nanoarrays.Nano-micro letters · 2020Article
- IoT in Healthcare: Achieving Interoperability of High-Quality Data Acquired by IoT Medical Devices.Sensors (Basel, Switzerland) · 2019Article
- BMPLS: Blockchain-Based Multi-level Privacy-Preserving Location Sharing Scheme for Telecare Medical Information Systems.Journal of medical systems · 2018Article
- SCALEUS: Semantic Web Services Integration for Biomedical Applications.Journal of medical systems · 2017Article
- Using Big Data to Discover Diagnostics and Therapeutics for Gastrointestinal and Liver Diseases.Gastroenterology · 2017Review
- Remote Blood Glucose Monitoring in mHealth Scenarios: A Review.Sensors (Basel, Switzerland) · 2016Review
- Big Data in Health: a Literature Review from the Year 2005.Journal of medical systems · 2016Review
- Effects of the performance management information system in improving performance: an empirical study in Shanghai Ninth People's Hospital.SpringerPlus · 2016Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Advances supported by emerging wearable technologies in healthcare promise patients a provision of high quality of care. Wearable computing systems represent one of the most thrust areas used to transform traditional healthcare systems into active systems able to continuously monitor and control the patients' health in order to manage their care at an early stage. However, their proliferation creates challenges related to data management and integration. The diversity and variety of wearable data related to healthcare, their huge volume and their distribution make data processing and analytics more difficult. In this paper, we propose a generic semantic big data architecture based on the "Knowledge as a Service" approach to cope with heterogeneity and scalability challenges. Our main contribution focuses on enriching the NIST Big Data model with semantics in order to smartly understand the collected data, and generate more accurate and valuable information by correlating scattered medical data stemming from multiple wearable devices or/and from other distributed data sources. We have implemented and evaluated a Wearable KaaS platform to smartly manage heterogeneous data coming from wearable devices in order to assist the physicians in supervising the patient health evolution and keep the patient up-to-date about his/her status.
Indexed as
Identifiers
26490143What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.