Abstract
In the today’s world we witness an impact of the ‘Big data’ phenomenon. Although there are many definitions and different scientists view the problem from their perspectives (web, IoT, smartphones, security, GIS, HIS, cloud systems, networks, ...), there is still need for efficient, robust and scalable algorithms that ease processing of such data.
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Notes
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The open-access database [4] is freely available at the following link: http://www.physionet.org/physiobank/database/ctu-uhb-ctgdb/.
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- 3.
University Hospital in Brno.
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Acknowledgment
The research is supported by the project No. 15-31398A Features of Electromechanical Dyssynchrony that Predict Effect of Cardiac Resynchronization Therapy of the Agency for Health Care Research of the Czech Republic. This work has been developed in the BEAT research group https://www.ciirc.cvut.cz/research/beat with the support of University Hospital in Brno http://www.fnbrno.cz/en/.
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Bursa, M., Lhotska, L. (2016). Applying Ant-Inspired Methods in Childbirth Asphyxia Prediction. In: Renda, M., Bursa, M., Holzinger, A., Khuri, S. (eds) Information Technology in Bio- and Medical Informatics. ITBAM 2016. Lecture Notes in Computer Science(), vol 9832. Springer, Cham. https://doi.org/10.1007/978-3-319-43949-5_15
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