Natural Language Processing for Clinical Notes

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About Course

  • Tools & Languages: Python, SpaCy, NLTK, Flask, AWS Lambda
  • Objective: Create an NLP system to analyze and extract meaningful information from clinical notes and unstructured data. Use techniques such as named entity recognition and sentiment analysis. Deploy the system as a serverless application using AWS Lambda for scalability.
  • Skills Needed: Natural language processing (Python, SpaCy, NLTK), web development (Flask), cloud computing (AWS Lambda), data extraction techniques.

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