Table 1 Basic textual statistics of the selected DCC records, showing the mean value per record and the boundaries of the second and third quartile (top) and the total count in the dataset (bottom)
From: Negation detection in Dutch clinical texts: an evaluation of rule-based and machine learning methods
Letter category | # sentences | # words | # unique words | Word length |
|---|---|---|---|---|
General Practitioner | 2.1 (1, 2) | 17.8 (8, 23) | 16.8 (8, 22) | 5.9 (5, 6.5) |
entries | 2034 | 33840 | 11080 | Â |
Specialist letters | 3.8 (2, 4) | 30.0 (9, 34) | 24.9 (8, 30) | 7 (5.8, 7.7) |
| Â | 2737 | 29674 | 10207 | Â |
Radiology reports | 3.6 (2, 4) | 19.1 (7, 26) | 16.8 (6, 23) | 7.2 (6.1, 8) |
| Â | 3939 | 28614 | 6371 | Â |
Discharge letters | 4.1 (2, 5) | 33.8 (14, 45) | 27.8 (13, 38) | 6.1 (5.5, 6.6) |
| Â | 3057 | 33458 | 6351 | Â |