Name
Title | ||
|---|---|---|
Extracting important information from Chinese Operation Notes with natural language processing methods. |
Abstract | ||
|---|---|---|
•A novel information extraction strategy for Chinese free-text EMR is proposed.•Both rule-base method and sequential labeling method (CRF) are explored.•Totally, 12 important data elements related to hepatic carcinomas are extracted.•Two boundary matching strategies (exact, overlapped) are introduced for evaluation.•This work provides some insights for Chinese natural language processing. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1016/j.jbi.2013.12.017 | Journal of Biomedical Informatics |
Keywords | Field | DocType |
Clinical operation notes,Information extraction,Chinese EMR,Conditional random fields | Conditional random field,Training set,Data mining,Information retrieval,Computer science,Information extraction,Natural language processing,Artificial intelligence,Medical record,Recall | Journal |
Volume | ISSN | Citations |
48 | 1532-0464 | 13 |
PageRank | References | Authors |
0.70 | 28 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hui Wang | 1 | 177 | 43.68 |
| Weide Zhang | 2 | 15 | 1.09 |
| Qiang Zeng | 3 | 126 | 12.91 |
| Zuofeng Li | 4 | 58 | 7.76 |
| Kaiyan Feng | 5 | 34 | 4.60 |
| Lei Liu | 6 | 67 | 4.86 |