Name
Abstract | ||
|---|---|---|
With the large number of clinical practice guidelines available, there is an increasing need for a comprehensive unified model for acute ischemic stroke treatment to assist in clinical decision making. We present a unified treatment model derived through review of existing clinical practice guidelines, meta-analyses, and clinical trials. Using logic from the treatment model, a Bayesian belief network was defined and fitted to data from our institution's observational quality improvement database for acute stroke patients. The resulting network validates known relationships between variables, treatment decisions and outcomes, and enables the exploration of new correlative relationships not defined in current guidelines. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.3233/978-1-61499-289-9-1012 | Studies in Health Technology and Informatics |
Keywords | Field | DocType |
Acute Ischemic Stroke Treatment,Bayesian Belief Network | Data mining,Observational study,Clinical decision making,Clinical Practice,Clinical trial,Stroke,Bayesian network,Medicine,Quality management | Conference |
Volume | ISSN | Citations |
192 | 0926-9630 | 0 |
PageRank | References | Authors |
0.34 | 0 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Alexa Love | 1 | 0 | 0.34 |
| Corey Arnold | 2 | 41 | 12.22 |
| Suzie El-Saden | 3 | 152 | 15.31 |
| David S. Liebeskind | 4 | 12 | 3.93 |
| Lewellyn P. Andrada | 5 | 3 | 1.13 |
| Jeffrey Saver | 6 | 0 | 0.34 |
| Alex Bui | 7 | 318 | 48.20 |