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The lookAfterRisk Project: Dynamic Cardiovascular Risk Assessment based on Remote Monitoring Solutions., , , , , , and . BIBM, page 1122-1125. IEEE Computer Society, (2018)A Telemonitoring Solution Applied to Dynamic CVD Risk Assessment: LookAfterRisk., , , , , , , and . exp.at, page 472-475. IEEE, (2019)Comparison of an interpretable data-driven approach with state of the art classifiers: Application to cardiovascular risk assessment., , , , , and . RTSI, page 1-5. IEEE, (2017)Assessment of cardiovascular risk based on a data-driven knowledge discovery approach., , , , , , and . EMBC, page 6800-6803. IEEE, (2015)An efficient strategy for evaluating similarity between time series based on Wavelet / Karhunen-Loève transforms., , , and . EMBC, page 6216-6219. IEEE, (2012)A wavelet-based approach for time series pattern detection and events prediction applied to telemonitoring data., , , and . EMBC, page 6037-6040. IEEE, (2011)Improving the compromise between accuracy, interpretability and personalization of rule-based machine learning in medical problems., , , , , and . EMBC, page 2132-2135. IEEE, (2021)Identification of CVD risk parameters during sleep., , , , , , , , , and . BHI, page 352-355. IEEE, (2016)Multi-parametric prediction for cardiovascular risk assessment., , , , and . pHealth, volume 224 of Studies in Health Technology and Informatics, page 15-20. IOS Press, (2016)Atrial Activity Detection through a Sparse Decomposition Technique., , , and . BMEI (2), page 358-362. IEEE Computer Society, (2008)978-0-7695-3118-2.