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DSEC: A Data Stream Engine Based Clinical Information System [chapter]

Yu Fan, Hongyan Li, Zijing Hu, Jianlong Gao, Haibin Liu, Shiwei Tang, Xinbiao Zhou
2006 Lecture Notes in Computer Science  
This demo paper describes a clinical information system: Data Stream Engine based Clinical information system (DSEC).  ...  The novel features of DSEC include: 1) A complete data stream processing and querying architecture for medical application 2) being able to detect data changes in a simple and effective way; 3) a load  ...  Conclusions and Future Works With an efficient data stream engine, DSEC is a patient central clinical information prototype system.  ... 
doi:10.1007/11610113_127 fatcat:bg3g2yezcbgu3a7ssczzx7hnhq

Monitoring Abnormal Patterns with Complex Semantics over ICU Data Streams [chapter]

Xinbiao Zhou, Hongyan Li, Haibin Liu, Meimei Li, Lvan Tang, Yu Fan, Zijing Hu
2006 Lecture Notes in Computer Science  
In this paper we present a new approach MAPS(Monitoring Abnormal Patterns over data Streams) to model and identify the abnormal patterns over the massive data streams.  ...  Compared with other data streams, ICU streaming data have their own features: pseudo-periodicity and polymorphism.  ...  Because in multi-dimensional data streams, each stream has its own repetitious features and semantic meanings.  ... 
doi:10.1007/11821045_20 fatcat:cknebucaxvftlpqjdy6kefn7ee

Training Spiking Neural Networks Using Lessons From Deep Learning [article]

Jason K. Eshraghian and Max Ward and Emre Neftci and Xinxin Wang and Gregor Lenz and Girish Dwivedi and Mohammed Bennamoun and Doo Seok Jeong and Wei D. Lu
2022 arXiv   pre-print
We also explore the delicate interplay between encoding data as spikes and the learning process; the challenges and solutions of applying gradient-based learning to spiking neural networks; the subtle  ...  Some ideas are well accepted and commonly used amongst the neuromorphic engineering community, while others are presented or justified for the first time here.  ...  If the sampled data does not satisfy the i.i.d assumption, which is the case when a system experiences data in an online fashion, learning may not perform well.  ... 
arXiv:2109.12894v4 fatcat:zujzdtzaijak5bklbqufrxr57q

Developing and adopting complex health innovations – The case of genetically modified mosquitoes for malaria eradication

Valentina Cisnetto, Andrea Crisanti, James Barlow, Target Malaria
Methods: The research uses a mixed methods approach and combines an in-depth analysis of the Burkinabé (Burkina Faso) health system and its wider context, qualitative system dynamics modelling and an econometric  ...  Malaria, a preventable and curable disease, is still one the primary causes of death worldwide. Around 90% of deaths occur in sub-Saharan Africa.  ...  devices;  Medical and surgical procedures;  Support systems (e.g. drug formularies and clinical laboratories);  Organisational systems (e.g. clinical pathways).  ... 
doi:10.25560/73368 fatcat:olm6u3y3hjbllka3mytm6bl3ze