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Semantic Lifting and Reasoning on the Personalised Activity Big Data Repository for Healthcare Research
2017
2017 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData)
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The framework applies hybrid database architecture of NoSQL and RDF repositories with introductions for semantic oriented data mining and knowledge lifting algorithms. ...
The activity stream data is collected through Kafka's big data processing component. ...
Aggregation research problems include automatically filling in missing data, correctly refining data and handling uncertainty in data that is gathered from different resources but for the same semantic ...
doi:10.1109/ithings-greencom-cpscom-smartdata.2017.125
dblp:conf/ithings/YuZDD17
fatcat:rjajk4a2sza3ff7fanpa5odfou
Integrated and Personalised Risk Management in the Sensing Enterprise
[chapter]
2012
Risk Management - Current Issues and Challenges
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The authors wish to acknowledge the CDTI and the Ministry of Innovation for their support.
References ...
Acknowledgement This work has been partly funded by the CDTI through CENIT Project FASyS: Absolutely Safe and Healthy Factory (No. CEN-20091034) . ...
Semantics are based in the Semantic Sensor Web paradigm, [5] and on a specific abstraction for virtual objects. ...
doi:10.5772/50275
fatcat:h66s4npawnhcjiz7dqe6hzo7x4
The potential for artificial intelligence in healthcare
2019
Future Hospital Journal
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The complexity and rise of data in healthcare means that artificial intelligence (AI) will increasingly be applied within the field. ...
The key categories of applications involve diagnosis and treatment recommendations, patient engagement and adherence, and administrative activities. ...
Thomas Davenport and Ravi Kalakota toward tasks and job designs that draw on uniquely human skills like empathy, persuasion and big-picture integration. ...
doi:10.7861/futurehosp.6-2-94
pmid:31363513
pmcid:PMC6616181
fatcat:xgckujnaqjbttmrgix5jrkpp2a
An Era of Recommendation Technologies in IoT: Categorisation by techniques, Challenges and Future Scope
2021
Pertanika journal of science & technology
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The evolution of the Internet of Things (IoT) accelerates the augmentation of data present on the Internet and possibilities for connections to the more dynamic and heterogeneous devices to the Internet ...
We conclude the paper by discussing the challenges and future scope for IoT based recommendations techniques to advancing and widening the frontiers of this research area. ...
ACKNOWLEDGEMENT The first author of the paper likes to say thanks to her guide cum supervisor Dr Chhavi Rana for guidance and supervision. ...
doi:10.47836/pjst.29.4.07
fatcat:dtubrmawxjhw7lu35l3fsqrs64
Understanding And Mapping Big Data
2015
Zenodo
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Understanding and mapping big data. Deliverable D1.1 BYTE Project. ...
The granularity in big data opens up new opportunities for personalising services. ...
Furthermore, integrated repositories are essential as it is unrealistic to reproduce copies for remote research groups. ...
doi:10.5281/zenodo.49161
fatcat:wz3cwet3wfbmvfzucivu3t64eq
Infrastructure For Systems Biology Europe (Isbe) Business Case
2014
Zenodo
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The Business Case sets out how ISBE will provide a robust infrastructure that addresses European and national research needs for the life sciences. ...
It outlines the rationale for ISBE and how it can be achieved, as the project engages more widely in developing its strategy. ...
Further Information
ACKNOWLEDGEMENTS ISBE would like to thank Bas Teusink and former director of the Kluyver Centre Jack Pronk for their assistance. ...
doi:10.5281/zenodo.14946
fatcat:tu2um6uh4raw7a63dgraadlpr4
Unobtrusive and Personalised Monitoring of Parkinson's Disease Using Smartphones
2019
Zenodo
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The complexity of Parkinson's makes it a challenging but suitable study case to investigate new personalised approaches supported by technology and tailored to each patient's condition. ...
This work aims to explore the use of behavioural inferences extracted from smartphone data to track the fluctuations in Parkinson's Disease symptoms. ...
For example, personalise the prediction on one month of data, then test on the following month and repeat this for the following month pairs. ...
doi:10.5281/zenodo.3242597
fatcat:l5osnuvcu5g5pmc4sazxttvewy
Enhancing relational care through expressions of gratitude: insights from a historical case study of almoner–patient correspondence
2019
Medical Humanities
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Textual analysis of letters from the almoner shows the semantic strategies that position gratitude as central to the personalisation of an institutional relationship. ...
In addition, a major part of the work of almoners at the Brompton was to record the health and employment status of former sanatorium patients for medical research. ...
data availability statement Data are available in a public, open access repository. open access This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported ...
doi:10.1136/medhum-2019-011679
pmid:31586010
pmcid:PMC7476306
fatcat:duqut6265rapxjucb4bhoawvhe
Dr 1.3: Evaluation Of Pal Prototype Supporting Knowledge And Awareness
2017
Zenodo
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This report presents the work WP1 with a focus on T1.4: The results from the rst design and evaluation cycle. ...
Each experiment had speci c research questions concerning PAL functionality and expected outcomes (claims) concerning (1) child's knowledge, awareness, at- titude (towards PAL and T1DM), self-ecacy and ...
Finally, not only the authors of this paper contributed to this experiment, but also Joris Janssen was indispensable as experiment leader and Bert Bierman for his never ending and never failing technical ...
doi:10.5281/zenodo.344034
fatcat:sjebjpu5cvco7li4mgv434je7m
Informatics for Health 2017: Advancing both science and practice
2017
Journal of Innovation in Health Informatics
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This special issue of the Journal of Innovation in Health Informatics contains 113 presentation abstracts and 149 poster abstracts from the congress.Discussion: The twin programmes of "Big Data" and "Digital ...
The goal is multi-level Learning Health Systems that consume and intelligently act upon both patient data and organizational intervention outcomes.Conclusions: Informatics for Health demonstrated the art ...
This creates a big opportunity of big data analytics applications for healthcare data, where the requirements of high volume, velocity (real-time data from medical sensors), and variety (heterogeneity) ...
doi:10.14236/jhi.v24i1.939
pmid:28665785
fatcat:fj7cg7o6h5c3hnd5x7b2cfo2te
A Survey on Human-aware Robot Navigation
[article]
2021
arXiv
pre-print
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This paper is concerned with the navigation aspect of a socially-compliant robot and provides a survey of existing solutions for the relevant areas of research as well as an outlook on possible future ...
Given the current growth and innovation in the research communities concerned with the topics of robot navigation, human-robot-interaction and human activity recognition, it seems like this might soon ...
50 and HoloLens2 51 , combined with the demand for personalised entertainment, support in industry and healthcare applications, could place more emphasis on first-person research in the future. ...
arXiv:2106.11650v1
fatcat:rhutta3sqrhk3po4hmi77h33qy
Dr 4.2: Multimodal Interaction With Basic Adaptivity And Personalization
2017
Zenodo
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On the natural language generation side, we implemented basic adaptivity and personalisation, using the data contained in the underlying knowledge source to adapt the conversational style, as well as the ...
Two studies concerning personalised interaction were conducted. ...
Thanks to Antoine Cully and Maxime Petit (Imperial College London) for the preparation of the PAL Data Definition. We would like to thank the reviewers for their suggestions. ...
doi:10.5281/zenodo.344181
fatcat:akohq4it55gqldsxtgy2u6qehe
Message from the Program Chairs
2006
19th International Conference on VLSI Design held jointly with 5th International Conference on Embedded Systems Design (VLSID'06)
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These submissions included 169 full research paper submissions and 86 research-in-progress paper submissions. We would like to thank all of the authors for submitting their research for review. ...
In the end, we accepted 67 full research papers (40%) and 48 research-in-progress papers (55%). ...
• What are the drivers and requirements for change in analytics (eg big data, visual analytics)? ...
doi:10.1109/vlsid.2006.117
dblp:conf/vlsid/X06a
fatcat:4wsrdpwnu5bx5dah5ooyrhkjqi
Hybrid Systems Modelling Aided by Machine Learning with Applications in Healthcare
2020
Figshare
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in relation to healthcare planning in Ireland, with a particular focus on the hip-fracture care scheme. ...
In this manner, the data-driven insights helped shape the structure and behaviour of the simulation model. ...
First, I would like to dedicate this work to my parents for their unbreakable faith and moral support over long years. Their love and encouragement helped me continue to be persistent and diligent ...
doi:10.6084/m9.figshare.11676450.v1
fatcat:4s2son2lgzhibhpo4z3pje4tmq
SIENNA D4.1: State-of-the-art Review: Artificial Intelligence and robotics
2019
Zenodo
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In this report, we establish definitions and demarcations for both fields that will be used in subsequent SIENNA research on AI and robotics. ...
This report describes the current state of the art in the fields of artificial intelligence (AI) and robotics. ...
in the research on strong AI and are best suited for the modelling of higher cognitive tasks, such as abstract reasoning and problem solving. ...
doi:10.5281/zenodo.4066570
fatcat:bfvq2y3qfnhqnnr6lpfcilphlu
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