Harnessing the Power of NLP and Knowledge Graphs for Opioid Research

Initially an internal project, the work addresses the opioid epidemic in the US and globally. Gursev Pirge employs deep learning models, NLP techniques, and knowledge graphs to analyze clinical and medical reports, extracting critical entities like dosage, drugs, and symptoms. Ensuring accuracy and compliance with strict regulations like HIPAA, their methods involve named entity recognition (NER), entity linking with standard codes, and assertion status to confirm current medical conditions. The goal is to support healthcare providers with detailed, actionable insights while navigating vast amounts of sensitive healthcare data.

Gursev Pirge, PhD
Senior Data Scientist – JohnSnowLabs

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