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The Kullback-Leibler Divergence Used in Machine Learning Algorithms for Health Care Applications and Hypertension Prediction: A Literature Review

Antonio Clim, Razvan Daniel Zota, Grigore TinicA. The Kullback-Leibler Divergence Used in Machine Learning Algorithms for Health Care Applications and Hypertension Prediction: A Literature Review. In Elhadi M. Shakshuki, Ansar-Ul-Haque Yasar, editors, The 9th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN 2018) / The 8th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH-2018) / Affiliated Workshops, November 5-8, 2018, Leuven, Belgium. Volume 141 of Procedia Computer Science, pages 448-453, Elsevier, 2018. [doi]

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