Name
Title | ||
|---|---|---|
Structural identifiability and practical applicability of an alveolar recruitment model for ARDS patients. |
Abstract | ||
|---|---|---|
Patient-specific mathematical models of respiratory mechanics can offer substantial insight into patient state and pulmonary dynamics that are not directly measurable. Thus, they offer significant potential to evaluate and guide patient-specific lung protective ventilator strategies for acute respiratory distress syndrome (ARDS) patients. To assure bedside applicability, the model must be computat... |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/TBME.2012.2216526 | IEEE Transactions on Biomedical Engineering |
Keywords | Field | DocType |
Mathematical model,Lungs,Atmospheric modeling,Parameter estimation,Computational modeling,Polynomials | Data quality,Identifiability,Computer science,Artificial intelligence,Estimation theory,Mathematical model,Patient state,ARDS,Computer vision,Gradient descent,Simulation,Respiratory physiology,Machine learning | Journal |
Volume | Issue | ISSN |
59 | 12 | 0018-9294 |
Citations | PageRank | References |
4 | 0.66 | 8 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| C Schranz | 1 | 11 | 3.53 |
| Paul Docherty | 2 | 32 | 10.28 |
| Yeong Shiong Chiew | 3 | 12 | 6.19 |
| J. Geoffrey Chase | 4 | 375 | 91.29 |
| Knut Möller | 5 | 59 | 34.75 |