https://github.com/mydarapy/named-entity-recognition-in-clinical-texts-using-nlp-techniques

using a pretrained ML model to identify and extract named entities (drugs and dosage) from a medical corpus of clinical text
https://github.com/mydarapy/named-entity-recognition-in-clinical-texts-using-nlp-techniques

healthcare-data machine-learning medical named-entity-recognition nlp spacy spacy-nlp

Last synced: about 1 month ago
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using a pretrained ML model to identify and extract named entities (drugs and dosage) from a medical corpus of clinical text

• Host: GitHub
• URL: https://github.com/mydarapy/named-entity-recognition-in-clinical-texts-using-nlp-techniques
• Owner: MyDarapy
• Created: 2024-05-27T02:24:33.000Z (12 months ago)
• Default Branch: main
• Last Pushed: 2024-05-28T02:12:51.000Z (12 months ago)
• Last Synced: 2025-04-05T12:09:34.337Z (about 1 month ago)
• Topics: healthcare-data, machine-learning, medical, named-entity-recognition, nlp, spacy, spacy-nlp
• Language: Jupyter Notebook
• Homepage:
• Size: 5.84 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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# Named-entity-recognition-in-clinical-texts-using-NLP-techniques

training a ML model to identify and extract named entities (drugs and dosage) from a medical corpus of clinical text