Name
Title | ||
|---|---|---|
A systematic review of natural language processing for classification tasks in the field of incident reporting and adverse event analysis. |
Abstract | ||
|---|---|---|
•NLP can generate meaningful information from healthcare incident reports.•In classification tasks, NLP can perform well compared to manual annotation.•No single NLP technique shows superiority in this domain.•NLP has the potential to improve learning from adverse events in healthcare. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.ijmedinf.2019.103971 | International Journal of Medical Informatics |
Keywords | Field | DocType |
ADE,EHR,AUC,SVM | Incident report,Systematic review,Patient safety,Workload,Unstructured data,Cochrane Library,CINAHL,Artificial intelligence,Natural language processing,MEDLINE,Medicine | Journal |
Volume | ISSN | Citations |
132 | 1386-5056 | 2 |
PageRank | References | Authors |
0.40 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ian James Bruce Young | 1 | 2 | 0.40 |
| Saturnino Luz | 2 | 31 | 6.81 |
| Nazir Lone | 3 | 2 | 0.40 |