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https://ieeexplore.ieee.org/document/5694085/
A System for Mining Temporal Physiological Data Streams for Advanced Prognostic Decision Support Abstract: We present a mining system that can predict the future health status of the patient using the temporal trajectories of health status of a set of similar patients. The main novelties of this system are its use of stream processing ...
https://www.researchgate.net/publication/220766197_A_System_for_Mining_Temporal_Physiological_Data_Streams_for_Advanced_Prognostic_Decision_Support
IBM lately published a paper in 2011 called "A system for mining temporal physiological data streams for advanced prognostic decision Support" [10]. In their paper, they designed a system that can ...
https://www.infona.pl/resource/bwmeta1.element.ieee-art-000005694085
We present a mining system that can predict the future health status of the patient using the temporal trajectories of health status of a set of similar patients. The main novelties of this system are its use of stream processing technology for handling the incoming physiological time series data and incorporating domain knowledge in learning the similarity metric between patients represented ...
https://www.hindawi.com/journals/bmri/2012/580186/
IBM lately published a paper in 2011 called “A system for mining temporal physiological data streams for advanced prognostic decision Support” . In their paper, they designed a system that can monitor data streams from ICU and make a prediction. This system is perfect; it almost takes into all aspects.Cited by: 27
https://link.springer.com/chapter/10.1007%2F978-3-319-20765-0_31
Data driven healthcare analytics Learning health system ... Sun J, Sow DM, Hu J, Ebadollahi S. A system for mining temporal physiological data streams for advanced prognostic decision support. In: IEEE international conference on data mining. 2010. p. 1061–66.Cited by: 12
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3041306/
We present a prototype of our system MITHRA, which stands for MIning Temporal Health Records for Advanced prognostic decision support, in the context of ICU patient care. Figure 1 illustrates the concept behind our approach for making such predictions. Clinically similar patients are retrieved for a query patient whose trajectory of KPIs are ...Cited by: 64
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4287097/
Aug 15, 2014 · This survey explores the role of big data and health analytics developed by IBM in supporting the transformation of healthcare by augmenting evidence-based decision-making. ... A system for mining temporal physiological data streams for advanced prognostic decision support. 10th IEEE International Conference on Data Mining 2010.Cited by: 56
https://www.researchgate.net/publication/49627037_Real-Time_Prognosis_of_ICU_Physiological_Data_Streams
Real-Time Prognosis of ICU Physiological Data Streams. ... A System for Mining Temporal Physiological Data Streams for Advanced Prognostic Decision Support. Conference Paper.
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6381367/
Jan 09, 2019 · Sun J, Sow D, Hu J, Ebadollahi S(2010) A system for mining temporal physiological data streams for advanced prognostic decision support, in Proceedings of the 10th IEEE International Conference on Data Mining (ICDM’ 10), pp 1061–1066; Tarassenko L, Hann A, Young D. Integrated monitoring and analysis for early warning of patient deterioration.Cited by: 2
https://link.springer.com/chapter/10.1007/978-3-319-20765-0_30
Sun J, Sow D, Hu J, Ebadollahi S. A system for mining temporal physiological data streams for advanced prognostic decision support. In: International conference on data mining (ICDM). Sydney: IEEE; 2010. p. 1061–6. Google ScholarCited by: 1
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