Name
Title | ||
|---|---|---|
Developing a stroke alert trigger for clinical decision support at emergency triage using machine learning |
Abstract | ||
|---|---|---|
•Acute stroke is an urgent disease that requires immediate assessment and treatment.•Prompt identification of stroke at triage is the key to successful treatment.•Current triage system is insufficient to assist decision making for stroke therapy.•Machine learning techniques improved the identification of stroke at triage.•A triage system embedded with a stroke-alert trigger may improve acute stroke care. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1016/j.ijmedinf.2021.104505 | International Journal of Medical Informatics |
Keywords | DocType | Volume |
AUPRC,AUROC,BE-FAST,CART,ED,EMR,EVT,FAST,IVT,kNN,LR,ML,RF,ROC,SVM,SMOTE,TIA,TTAS | Journal | 152 |
ISSN | Citations | PageRank |
1386-5056 | 0 | 0.34 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sheng-Feng Sung | 1 | 0 | 0.34 |
| Ling-Chien Hung | 2 | 0 | 0.34 |
| Ya-Han Hu | 3 | 0 | 0.68 |