Client Story

Medical Annotation for Leading Pharma

Date NLP for Adverse Events

A leading Pharma company was developing an MLP algorithm for adverse event detection in social media entries. Due to the sensitive medical nature of the project, our overall expectation was to reach 100% accuracy for all categorizations and detections. The client reported that this human-in-the-loop model proved to be a much more scalable and ecient option than traditional manual categorization.

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