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Improvement of CVD risk assessment tools' performance through innovative patients' grouping strategies.

, , , , , , and . EMBC, page 5907-5910. IEEE, (2012)

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Intelligent Phonocardiogram Analysis and Representation Tool., , , , and . HEALTHINF, page 186-192. SciTePress, (2011)Recovering the Graph Underlying Networked Dynamical Systems under Partial Observability: A Deep Learning Approach., , , , , and . AAAI, page 9038-9046. AAAI Press, (2023)Acoustic cardiac signal analysis: A toolbox., , , , , , , , and . exp.at, page 7-12. IEEE, (2015)The lookAfterRisk Project: Dynamic Cardiovascular Risk Assessment based on Remote Monitoring Solutions., , , , , , and . BIBM, page 1122-1125. IEEE Computer Society, (2018)Identification of CVD risk parameters during sleep., , , , , , , , , and . BHI, page 352-355. IEEE, (2016)Detection of motion artifacts in photoplethysmographic signals based on time and period domain analysis., , , , and . EMBC, page 2603-2606. IEEE, (2012)An efficient strategy for evaluating similarity between time series based on Wavelet / Karhunen-Loève transforms., , , and . EMBC, page 6216-6219. IEEE, (2012)Assessment of cardiovascular risk based on a data-driven knowledge discovery approach., , , , , , and . EMBC, page 6800-6803. IEEE, (2015)Detection of different types of noise in lung sounds., , , , , , , and . EMBC, page 5977-5980. IEEE, (2016)A wavelet-based approach for time series pattern detection and events prediction applied to telemonitoring data., , , and . EMBC, page 6037-6040. IEEE, (2011)