From: Deep learning approach to detection of colonoscopic information from unstructured reports
Items | Labels a |
---|---|
1. Patient information | |
1.1Â Brief history (disease, family, etc.) | Â |
1.2Â Indication/reason for endoscopy | Â |
2. Procedures | |
2.1Â Sedation and other drugs | Â |
2.1.1Â Sedation | SEDATION |
2.1.1.1Â Level of sedation | SEDATIONLEVEL |
2.1.1.2Â Medication | MEDICATION |
2.1.1.3Â Dosage | DOSAGE |
2.1.2Â Antispasmodics | ANTISPASMODICS |
2.2Â Equipment (endoscope) used | DEVICE |
2.2.1Â Extent of examination | EXTENT |
2.3Â Quality of cleansing/visualization | PREPARATION |
2.4Â Procedural time | Â |
2.4.1Â Time-to-cecum | Â |
2.4.2Â Withdrawal time | Â |
2.5Â Digital rectal examination | DRE |
3. Colonoscopic findings | |
3.1Â Lesions and their attributes | Â |
3.1.1Â Lesion | LESION, NEGATION b |
3.1.2Â Anatomical site | LOCATION |
3.1.3Â Shape | SHAPE |
3.1.4Â Color | COLOR |
3.1.5Â Size | SIZE |
3.1.6Â Number | NUMBER |
3.2Â Sampling (type of sample) | BIOPSY |
3.3Â Adverse intraprocedural events | Â |
4. Conclusion |