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Merge pull request #224024 from yelsehrawy/patch-4
Update assertion-detection.md
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articles/cognitive-services/language-service/text-analytics-for-health/concepts/assertion-detection.md

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@@ -39,7 +39,7 @@ Text Analytics for health returns assertion modifiers, which are informative att
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**ASSOCIATION** – describes whether the concept is associated with the subject of the text or someone else.
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* **Subject** [Default]: the concept is associated with the subject of the text, usually the patient.
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* **Someone_Else**: the concept is associated with someone who is not the subject of the text.
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* **Other**: the concept is associated with someone who is not the subject of the text.
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Assertion detection represents negated entities as a negative value for the certainty category, for example:

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