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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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Multi-parametric prediction for cardiovascular risk assessment., , , , and . pHealth, volume 224 of Studies in Health Technology and Informatics, page 15-20. IOS Press, (2016)The HTP tool: Monitoring, detecting and predicting hypotensive episodes in critical care., , and . EUROCON, page 1-4. IEEE, (2011)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)How Reliable Are Ultra-Short-Term HRV Measurements during Cognitively Demanding Tasks?, , , , , , , , , and . Sensors, 22 (17): 6528 (2022)The lookAfterRisk Project: Dynamic Cardiovascular Risk Assessment based on Remote Monitoring Solutions., , , , , , and . BIBM, page 1122-1125. IEEE Computer Society, (2018)Improving the compromise between accuracy, interpretability and personalization of rule-based machine learning in medical problems., , , , , and . EMBC, page 2132-2135. IEEE, (2021)A novel multi-parametric algorithm for faint prediction integrating indices of cardiac inotropy and vascular tone., , , , , , , , and . EMBC, page 2952-2956. IEEE, (2014)Evaluation of lung ventilation distribution in chronic obstructive pulmonary disease patients using the global inhomogeneity index., , , , , , , , and . EMBC, page 5286-5289. IEEE, (2016)