Name
Abstract | ||
|---|---|---|
Physiological processes in the human body can be predicted by mathematical models. Medical Decision Support Systems (MDSS) might exploit these predictions when optimizing therapy settings. In critically ill patients depending on mechanical ventilation, these predictions should also consider other organ systems of the human body. In a previously presented framework we combine elements of three model families: respiratory mechanics, cardiovascular dynamics and gas exchange. Computing combinations of moderately complex submodels showed to be computationally costly thus limiting the applicability of those model combinations in an MDSS. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1016/j.jbi.2013.01.004 | Journal of Biomedical Informatics |
Keywords | Field | DocType |
MDSS,VILI,CC,DCC,V′,VA,CO,Paw,Pth,fR,V˙in,Fi,O2,Fi,CO2,PA,O2,PA,CO2 | Data mining,Inspiratory gas flow,Computer science,Simulation,Decision support system,Algorithm,Alveolar volume,Respiratory frequency,Mathematical model,Limiting,Computation | Journal |
Volume | Issue | ISSN |
46 | 3 | 1532-0464 |
Citations | PageRank | References |
0 | 0.34 | 6 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| J Kretschmer | 1 | 11 | 3.74 |
| C Schranz | 2 | 11 | 3.53 |
| C Knöbel | 3 | 5 | 1.32 |
| J Wingender | 4 | 0 | 0.34 |
| E Koch | 5 | 0 | 3.38 |
| Knut Möller | 6 | 59 | 34.75 |