Paper published in a book (Scientific congresses, symposiums and conference proceedings)
A rule-based approach for self-optimisation in autonomic eHealth systems
NEYENS, Gilles; ZAMPUNIERIS, Denis
2018 • In Workshop Proceedings ot the 6th International Workshop on "Self-Optimisation in Autonomic & Organic Computing Systems" in ARCS 2018 - 31st International Conference on Architecture of Computing Systems, Braunschweig, Germany, 09 - 12 April, 2018
[en] Advances in machine learning techniques in recent years were of great benefit for the detection of diseases/medical conditions in eHealth systems, but only to a limited extend. In fact, while for the detection of some diseases the data mining techniques were performing very well, they still got outperformed by medical experts in about half of the tests done. In this paper, we propose a hybrid approach, which will use a rule-based system on top of the machine learning techniques in order to optimise the results of conflict handling. The goal is to insert the knowledge from medical experts in order to optimise the results given by the classification techniques. Possible positive and negative effects will be discussed.
Disciplines :
Computer science
Author, co-author :
NEYENS, Gilles ; University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC)
ZAMPUNIERIS, Denis ; University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC)
External co-authors :
no
Language :
English
Title :
A rule-based approach for self-optimisation in autonomic eHealth systems
Publication date :
2018
Event name :
SAOS 2018 - 6th International Workshop on "Self-Optimisation in Autonomic & Organic Computing Systems" in ARCS 2018 - 31st International Conference on Architecture of Computing Systems
Event organizer :
Technical University of Braunschweig
Event place :
Braunschweig, Germany
Event date :
09 - 12 April, 2018
Audience :
International
Main work title :
Workshop Proceedings ot the 6th International Workshop on "Self-Optimisation in Autonomic & Organic Computing Systems" in ARCS 2018 - 31st International Conference on Architecture of Computing Systems, Braunschweig, Germany, 09 - 12 April, 2018
A. C. Manifesto, "IBMs perspective on the state of information technology, " http://www.research.ibm.com/autonomic/manifesto/, 2001.
J. O. Kephart and D. M. Chess, "The vision of autonomic computing, " Computer, vol. 36, no. 1, pp. 41-50, 2003.
P. Lalanda, J. A. McCann, and A. Diaconescu, Autonomic computing. Springer, 2013.
A. C. Manifesto, "Optimisation. Merriam-Websters's online dictionary, " https://www.merriam-webster.com/dictionary/optimization, Accessed 2018.
U. Anliker, J. A. Ward, P. Lukowicz, G. Troster, F. Dolveck, M. Baer, F. Keita, E. B. Schenker, F. Catarsi, L. Coluccini et al., "AMON: A wearable multiparameter medical monitoring and alert system, " IEEE Transactions on information technology in Biomedicine, vol. 8, no. 4, pp. 415-427, 2004.
Z. Jin, J. Oresko, S. Huang, and A. C. Cheng, "Hearttogo: A personalized medicine technology for cardiovascular disease prevention and detection, " in Life Science Systems and Applications Workshop, 2009. LiSSA 2009. IEEE/NIH. IEEE, 2009, pp. 80-83.
R. A. Dobrican and D. Zampunieris, "A proactive solution, using wearable and mobile applications, for closing the gap between the rehabilitation team and cardiac patients, " in Healthcare Informatics (ICHI), 2016 IEEE International Conference on. IEEE, 2016, pp. 146-155.
C. W. Mundt, K. N. Montgomery, U. E. Udoh, V. N. Barker, G. C. Thonier, A. M. Tellier, R. D. Ricks, R. B. Darling, Y. D. Cagle, N. A. Cabrol et al., "A multiparameter wearable physiologic monitoring system for space and terrestrial applications, " IEEE Transactions on Information Technology in Biomedicine, vol. 9, no. 3, pp. 382-391, 2005.
S. Gradl, P. Kugler, C. LohmAijller, and B. Eskofier, "Real-time ECG monitoring and arrhythmia detection using android-based mobile devices, " in 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Aug 2012, pp. 2452-2455.
A. M. Nia, M. Mozaffari-Kermani, S. Sur-Kolay, A. Raghunathan, and N. K. Jha, "Energy-efficient long-term continuous personal health monitoring, " IEEE Transactions on Multi-Scale Computing Systems, vol. 1, no. 2, pp. 85-98, 2015.
S. Patel, R. Hughes, T. Hester, J. Stein, M. Akay, J. G. Dy, and P. Bonato, "A novel approach to monitor rehabilitation outcomes in stroke survivors using wearable technology, " Proceedings of the IEEE, vol. 98, no. 3, pp. 450-461, 2010.
T. Hester, R. Hughes, D. M. Sherrill, B. Knorr, M. Akay, J. Stein, and P. Bonato, "Using wearable sensors to measure motor abilities following stroke, " in Wearable and Implantable Body Sensor Networks, 2006. BSN 2006. International Workshop on. IEEE, 2006, pp. 4-pp.
M. Tsakalakis and N. G. Bourbakis, "Health care sensor-based systems for point of care monitoring and diagnostic applications: A brief survey, " in Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE. IEEE, 2014, pp. 62666269.
J. J. Oresko, Z. Jin, J. Cheng, S. Huang, Y. Sun, H. Duschl, and A. C. Cheng, "A wearable smartphone-based platform for real-time cardiovascular disease detection via electrocardiogram processing, " IEEE Transactions on Information Technology in Biomedicine, vol. 14, no. 3, pp. 734-740, 2010.
J. Rickard, S. Ahmed, M. Baruch, B. Klocman, D. O. Martin, and V. Menon, "Utility of a novel watch-based pulse detection system to detect pulselessness in human subjects, " Heart Rhythm, vol. 8, no. 12, pp. 1895-1899, 2011.
F.-S. Jaw, Y.-L. Tseng, and J.-K. Jang, "Modular design of a long-term portable recorder for physiological signals, " Measurement, vol. 43, no. 10, pp. 1363-1368, 2010.
Y. Hongxu and N. Jha, "A hierarchical health decision support system for disease diagnosis based on wearable medical sensors and machine learning ensembles, " IEEE Transactions on Multi-Scale Computing Systems, 2017.
G. Suciu, A. Vulpe, R. Craciunescu, C. Butca, and V. Suciu, "Big data fusion for ehealth and ambient assisted living cloud applications, " in Communications and Networking (BlackSeaCom), 2015 IEEE International Black Sea Conference on. IEEE, 2015, pp. 102-106.
A. Subasi, "EEG signal classification using wavelet feature extraction and a mixture of expert model, " Expert Systems with Applications, vol. 32, no. 4, pp. 1084-1093, 2007.
D. Zampunieris, "Implementation of efficient proactive computing using lazy evaluation in a learning management system (extended version), " International Journal of Web-Based Learning and Teaching Technologies, vol. 3, pp. 103-109, 2008.
D. Shirnin, S. Reis, and D. Zampunieris, "Design of proactive scenarios and rules for enhanced e-learning, " in Proceedings of the 4th International Conference on Computer Supported Education, Porto, Portugal 16-18 April, 2012. SciTePress-Science and Technology Publications, 2012, pp. 253-258.
R.-A. Dobrican, G. Neyens, and D. Zampunieris, "A context-aware collaborative mobile application for silencing the smartphone during meetings or important events, " International Journal On Advances in Intelligent Systems, vol. 9, no. 1&2, pp. 171-180, 2016.
G. Neyens and D. Zampunieris, "Using hidden markov models and rule-based sensor mediation on wearable ehealth devices, " in Procedings of the 11th International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies, Barcelona, Spain 12-16 November 2017. IARIA, 2017.
G. Neyens, R.-A. Dobrican, and D. Zampunieris, "Enhancing mobile devices with cooperative proactive computing, " in Proceedings of the 5th International Conference on Advanced Collaborative Networks, Systems and Applications (COLLA 2015). IARIA, 2015, pp. 1-9.