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Open Access This chapter is licensed under the terms of the Creative Commons
Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/),
which permits use, sharing, adaptation, distribution and reproduction in any medium
or format, as long as you give appropriate credit to the original author(s) and the
source, provide a link to the Creative Commons license and indicate if changes were
made.
The images or other third party material in this chapter are included in the
chapter’s Creative Commons license, unless indicated otherwise in a credit line to the
material. If material is not included in the chapter’s Creative Commons license and
your intended use is not permitted by statutory regulation or exceeds the permitted
use, you will need to obtain permission directly from the copyright holder.
209
33. Sondes, T., Ben Elhadj, H., Chaari, L.: An ontology-based healthcare monitoring
system in the internet of things. In: 2019 15th International Wireless Communications & Mobile Computing Conference (IWCMC), pp. 319–324. IEEE (2019)
34. Su, J., Zhang, H.: A fast decision tree learning algorithm. In: AAAI, vol. 6, pp.
500–505 (2006)
35. Suo, Q., et al.: A multi-task framework for monitoring health conditions via
attention-based recurrent neural networks. In: AMIA Annual Symposium Proceedings, vol. 2017, p. 1665. American Medical Informatics Association (2017)
36. Wang, X., Sontag, D., Wang, F.: Unsupervised learning of disease progression models. In: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2014, pp. 85–94. Association for Computing
Machinery, New York (2014). https://doi.org/10.1145/2623330.2623754
37. Xiao, H., Gao, J., Vu, L., Turaga, D.S.: Learning temporal state of diabetes
patients via combining behavioral and demographic data. In: Proceedings of the
23rd ACM SIGKDD International Conference on Knowledge Discovery and Data
Mining, KDD 2017, pp. 2081–2089. Association for Computing Machinery, New
York (2017). https://doi.org/10.1145/3097983.3098100
Open Access This chapter is licensed under the terms of the Creative Commons
Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/),
which permits use, sharing, adaptation, distribution and reproduction in any medium
or format, as long as you give appropriate credit to the original author(s) and the
source, provide a link to the Creative Commons license and indicate if changes were
made.
The images or other third party material in this chapter are included in the
chapter’s Creative Commons license, unless indicated otherwise in a credit line to the
material. If material is not included in the chapter’s Creative Commons license and
your intended use is not permitted by statutory regulation or exceeds the permitted
use, you will need to obtain permission directly from the copyright holder.