Classify an anonymous negative review's likely origin

Judges: One negative review with no matching patient record. Questions: choice:origin - genuine_patient, competitor_or_fake, misdirected_other_business, non_patient_complaint, unknown; noul:contains_clinical_detail - does the text disclose treatment or health detail. Action: Code

BA clean typed decision with either high volume or major value.4.13

Key facts

Vertical: Healthcare & dental
Function: Local & reputation
Status: Idea
Volume: occasional
Value: major
Risk: high
Evidence: —
Flags: human-review

Build this with a classifier

Define a typed decision with a bounded answer, then evaluate it on examples.

{
  "decision_type": "yes_no",
  "question": "Does this input match the decision in “Classify an anonymous negative review's likely origin”?",
  "input": "<input to classify>",
  "output": "yes | no"
}

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[Classify an anonymous negative review's likely origin](https://jevaiusecases.com/use-cases/classify-an-anonymous-negative-review-s-likely-origin/)