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Many false positives arose in early stages of evaluation from failure to detect negation or context, as in the Type C error examples in Table 2.
Venous thromboembolism symptom extractor validation performance on notes of case cohort (patients with venous thromboembolism diagnosis).
Examples of common sources of symptom extractor false positive errors.
For the first example, VTExt captured the symptom hypoxia without identifying the negating phrase “resolution of.”
JMIR Med Inform 2025;13:e63720
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Reference 47: Machine learning approaches for the prediction of hepatitis B and C seropositivity
JMIR Med Inform 2025;13:e62862
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