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https://www.hindawi.com/journals/bmri/2012/580186/
In order to innovate an effective real-time clinical decision support system, we should use an algorithm that can analyze data efficiently and accurately. Traditional decision tree may be a good choice for structured database; however, it cannot handle continuous rapid data streams.Cited by: 27
https://www.researchgate.net/publication/230593191_Real-Time_Clinical_Decision_Support_System_with_Data_Stream_Mining
Real-Time Clinical Decision Support System with Data Stream Mining Article (PDF Available) in Journal of Biomedicine and Biotechnology 2012(5):580186 · July …
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3791638/
Earlier on, a conceptual design on the real-time clinical decision support system (rt-CDSS) with data stream mining was proposed and published. The new system is introduced that can analyze medical data streams and can make real-time prediction. This system is based on a stream mining algorithm called …Cited by: 12
https://www.hindawi.com/journals/bmri/2012/580186/fig2/
Research Article. Real-Time Clinical Decision Support System with Data Stream Mining
https://core.ac.uk/display/111499676
Real-Time Clinical Decision Support System with Data Stream Mining . By Yang Zhang, ... This research aims to describe a new design of data stream mining system that can analyze medical data stream and make real-time prediction. The motivation of the research is due to a growing concern of combining software technology and medical functions for ...
https://www.hindawi.com/journals/bmri/2012/580186/tab1/
BioStream: a system architecture for real-time processing of physiological signals (data stream mining, focus on detection) Amir Bar-Or, David Goddeau, Jennifer Healey, Leonidas Kontothanasis, Beth Logan, Alex Nelson, JM Van Thong: Physical data stream detection QRS (the algorithm was not described clearly in original paper)
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