Name
Title | ||
|---|---|---|
Is the Sequence of SuperAlarm Triggers More Predictive Than Sequence of the Currently Utilized Patient Monitor Alarms? |
Abstract | ||
|---|---|---|
Objective: Our previous studies have shown that “code blue” events can be predicted by SuperAlarm patterns that are multivariate combinations of monitor alarms and laboratory test results cooccurring frequently preceding the events but rarely among control patients. Deploying these patterns to the monitor data streams can generate SuperAlarm sequences. The objective of this study is to test the hy... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/TBME.2016.2586443 | IEEE Transactions on Biomedical Engineering |
Keywords | Field | DocType |
Biomedical monitoring,Support vector machines,Patient monitoring,Fatigue,Arterial blood pressure,Pattern recognition | Data mining,Data stream mining,tf–idf,ALARM,Computer science,Multivariate statistics,Remote patient monitoring,Support vector machine,Patient monitor,Classifier (linguistics) | Journal |
Volume | Issue | ISSN |
64 | 5 | 0018-9294 |
Citations | PageRank | References |
0 | 0.34 | 18 |
Authors | ||
9 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yong Bai | 1 | 26 | 13.70 |
| Duc H Do | 2 | 7 | 1.54 |
| Quan Ding | 3 | 59 | 7.72 |
| Jorge Arroyo-Palacios | 4 | 44 | 2.55 |
| Yalda Shahriari | 5 | 3 | 1.80 |
| Michele M Pelter | 6 | 1 | 0.72 |
| Noel Boyle | 7 | 7 | 1.54 |
| Richard Fidler | 8 | 1 | 0.72 |
| Xiao Hu | 9 | 72 | 13.64 |