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Results of error analysis for lung cancer diagnosis date.
| Types of Error | Subtypes of Error | Number, % | Total |
| Outside material | None | 9, 45% | 20 |
| Human errors | None | 5, 25% | |
| Dictionary insufficiency | None | 1, 5% | |
| NLP rules | Missing inference for lung cancer diagnosis | 3, 15% | |
| Missing inference for dates | 1, 5% | ||
| Date ambiguity | 1, 5% |
