This summary covers the challenges and value of Healthcare data, including real life use cases, and shows how NLP can reduce manual effort and provide support across multiple areas in Healthcare including:
Computational Phenotyping
Rare Disease Diagnosis
Oncology profiling
AI Augmented chart review with the IQVIA Human Assisted Review Tool
Risk Adjustment
Feature generation for Predictive Analytics
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