Name
Abstract | ||
|---|---|---|
•Development of personalized clinical models for cardiovascular risk assessment.•Flexible framework: information fusion, groups of patients, new clinical knowledge.•Clinical platform integrating: patient data, ECG acquisition, developed algorithms.•Validation based on real patient datasets.•Promising results when compared with current CVD risk assessment tools. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1016/j.jocs.2015.04.025 | Journal of Computational Science |
Keywords | Field | DocType |
Cardiovascular risk assessment,Personalization,Myocardial infarction,Clinical applications | Coronary artery disease,CAD,Public hospital,Observational study,Computer science,Simulation,Risk management tools,Risk assessment,Theoretical computer science,Medical emergency,Hospital information system,Personalization | Journal |
Volume | ISSN | Citations |
9 | 1877-7503 | 0 |
PageRank | References | Authors |
0.34 | 4 | 9 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| S. Paredes | 1 | 26 | 10.61 |
| T Rocha | 2 | 9 | 5.15 |
| Paulo Carvalho | 3 | 250 | 47.68 |
| J Henriques | 4 | 33 | 14.56 |
| Diana Mendes | 5 | 0 | 2.03 |
| Ricardo Cabete | 6 | 0 | 0.34 |
| Ramona Cabiddu | 7 | 0 | 1.35 |
| Anna M Bianchi | 8 | 41 | 16.77 |
| J Morais | 9 | 7 | 3.02 |