Name
Title | ||
|---|---|---|
A comprehensive study of mobility functioning information in clinical notes: Entity hierarchy, corpus annotation, and sequence labeling |
Abstract | ||
|---|---|---|
•Functioning terminology is underpopulated in electronic health records and underrepresented in the Unified Medical Language System.•This is a comprehensive analysis of the Mobility domain of the ICF, including entity analysis, annotation, and machine sequence labeling.•Low-resourced and nested Mobility concepts can be accurately identified by using transfer learning re-trained on an adequate corpus. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1016/j.ijmedinf.2020.104351 | International Journal of Medical Informatics |
Keywords | DocType | Volume |
Functioning information,Mobility,Clinical notes,Natural language processing,Text mining,Named entity recognition | Journal | 147 |
ISSN | Citations | PageRank |
1386-5056 | 1 | 0.37 |
References | Authors | |
0 | 10 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Thanh Thieu | 1 | 1 | 0.37 |
| Jonathan Camacho Maldonado | 2 | 1 | 2.06 |
| Pei-Shu Ho | 3 | 1 | 1.73 |
| Min Ding | 4 | 1 | 0.37 |
| Alex Marr | 5 | 1 | 1.73 |
| Diane Brandt | 6 | 1 | 0.37 |
| Denis Newman-Griffis | 7 | 2 | 2.08 |
| Ayah Zirikly | 8 | 14 | 8.70 |
| Leighton Chan | 9 | 2 | 1.41 |
| Elizabeth Rasch | 10 | 1 | 1.73 |