Name
Affiliation
Papers
S. PAREDES
Instituto Superior de Engenharia de Coimbra, Departamento de Engenharia Informática e de Sistemas, Coimbra, Portugal
25
Collaborators
Citations 
PageRank 
53
26
10.61
Referers 
Referees 
References 
74
156
71
Search Limit
100156
Title
Citations
PageRank
Year
A New Approach For Interpretability And Reliability In Clinical Risk Prediction: Acute Coronary Syndrome Scenario00.342021
The Lookafterrisk Project: Dynamic Cardiovascular Risk Assessment Based On Remote Monitoring Solutions00.342018
A Clinical Interpretable Approach Applied to Cardiovascular Risk Assessment.00.342018
Integration Of Current Clinical Knowledge With A Data Driven Approach: An Innovative Perspective00.342018
Risk Prediction of Heart Failure Decompensation Events in Multiparametric Feature Spaces.00.342018
An Interpretable Data-Driven Approach For Rules Construction: Application To Cardiovascular Risk Assessment00.342017
A Non-Exercise Based V02max Prediction Using Friend Dataset With A Neural Network00.342017
A tool for ECG analysis as a module of a tele-monitoring system00.342016
Strategies for personalized risk assessment for CVD management00.342016
Multi-parametric prediction for cardiovascular risk assessment.00.342016
Strategies for prediction of cardio-vascular status without explicit modeling00.342016
Identification of CVD risk parameters during sleep00.342016
Prediction of heart failure decompensation events by trend analysis of telemonitoring data.10.372015
Integration of Different Risk Assessment Tools to Improve Stratification of Patients with Coronary Artery Disease20.412015
The CardioRisk project: Improvement of cardiovascular risk assessment00.342015
Assessing the similarity between time series using a Wavelet transform: Application and interpretability aspects00.342014
Personalization algorithms applied to cardiovascular disease risk assessment.10.412014
Trend prediction methodology based on time series similarity analysis and haar wavelet decomposition00.342013
An effective wavelet strategy for the trend prediction of physiological time series with application to pHealth systems.40.502013
Cardiovascular event risk assessment - Fusion of individual risk assessment tools applied to the Portuguese population.10.632012
Prediction of acute hypotensive episodes by means of neural network multi-models.91.042011
A wavelet-based approach for time series pattern detection and events prediction applied to telemonitoring data.20.442011
Fusion of risk assessment models with application to coronary artery disease patients.30.892011
A lead dependent ischemic episodes detection strategy using Hermite functions.30.522010
Atrial Activity Detection through a Sparse Decomposition Technique00.342008