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Cardiovascular event risk assessment - Fusion of individual risk assessment tools applied to the Portuguese population.

, , , , , , and . FUSION, page 925-932. IEEE, (2012)

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Multi-parametric prediction for cardiovascular risk assessment., , , , and . pHealth, volume 224 of Studies in Health Technology and Informatics, page 15-20. IOS Press, (2016)Identification of CVD risk parameters during sleep., , , , , , , , , and . BHI, page 352-355. IEEE, (2016)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)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)Integration of Different Risk Assessment Tools to Improve Stratification of Patients with Coronary Artery Disease., , , , , and . 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., , , , and . Comput. Methods Programs Biomed., (March 2023)Improving the compromise between accuracy, interpretability and personalization of rule-based machine learning in medical problems., , , , , and . EMBC, page 2132-2135. IEEE, (2021)The lookAfterRisk Project: Dynamic Cardiovascular Risk Assessment based on Remote Monitoring Solutions., , , , , , and . BIBM, page 1122-1125. IEEE Computer Society, (2018)