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Multi-parametric prediction for cardiovascular risk assessment., , , , и . pHealth, том 224 из Studies in Health Technology and Informatics, стр. 15-20. IOS Press, (2016)Comparison of an interpretable data-driven approach with state of the art classifiers: Application to cardiovascular risk assessment., , , , , и . RTSI, стр. 1-5. IEEE, (2017)An efficient strategy for evaluating similarity between time series based on Wavelet / Karhunen-Loève transforms., , , и . EMBC, стр. 6216-6219. IEEE, (2012)Assessment of cardiovascular risk based on a data-driven knowledge discovery approach., , , , , , и . EMBC, стр. 6800-6803. IEEE, (2015)A wavelet-based approach for time series pattern detection and events prediction applied to telemonitoring data., , , и . EMBC, стр. 6037-6040. IEEE, (2011)Identification of CVD risk parameters during sleep., , , , , , , , , и . BHI, стр. 352-355. IEEE, (2016)Integration of Different Risk Assessment Tools to Improve Stratification of Patients with Coronary Artery Disease., , , , , и . Medical Biol. Eng. Comput., 53 (10): 1069-1083 (2015)An interpretable machine learning approach to estimate the influence of inflammation biomarkers on cardiovascular risk assessment., , , , и . Comput. Methods Programs Biomed., (марта 2023)Improving the compromise between accuracy, interpretability and personalization of rule-based machine learning in medical problems., , , , , и . EMBC, стр. 2132-2135. IEEE, (2021)The lookAfterRisk Project: Dynamic Cardiovascular Risk Assessment based on Remote Monitoring Solutions., , , , , , и . BIBM, стр. 1122-1125. IEEE Computer Society, (2018)