Name
Title | ||
|---|---|---|
A natural language processing pipeline for pairing measurements uniquely across free-text CT reports. |
Abstract | ||
|---|---|---|
•Oncology guidelines standardize response assessment based on measurements.•Regular expression-based techniques recognize measurements in reports.•We introduced the task of pairing lesion measurements across consecutive reports.•A natural language processing pipeline can be construed for the pairing task.•A post-processor enforces that each measurement is matched with at most one other. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1016/j.jbi.2014.08.015 | Journal of Biomedical Informatics |
Keywords | Field | DocType |
Natural language processing,RECIST,Radiology report,Oncologic measurement,Information correlation | Semantic similarity,Uniqueness,Data mining,Computer science,Pairing,Ground truth,Natural language processing,Artificial intelligence,Random forest,Recall,Radiology report | Journal |
Volume | Issue | ISSN |
53 | C | 1532-0464 |
Citations | PageRank | References |
4 | 0.41 | 16 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Merlijn Sevenster | 1 | 98 | 13.33 |
| Jeffrey Bozeman | 2 | 4 | 0.41 |
| Andrea Cowhy | 3 | 4 | 0.41 |
| William Trost | 4 | 4 | 0.41 |