https://github.com/lixx21/medical_ner

Using NER model to recognize entities name from a medical report
https://github.com/lixx21/medical_ner

machine-learning ner nlp scapy

Last synced: 6 days ago
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Using NER model to recognize entities name from a medical report

• Host: GitHub
• URL: https://github.com/lixx21/medical_ner
• Owner: lixx21
• Created: 2023-04-06T01:45:42.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2023-04-06T03:11:07.000Z (over 1 year ago)
• Last Synced: 2024-04-20T12:59:35.324Z (8 months ago)
• Topics: machine-learning, ner, nlp, scapy
• Language: Jupyter Notebook
• Homepage:
• Size: 72.3 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# medical_ner

    NER (Named-Entity Recognition) is used to categorize entitiy from a text. Sometimes this is used to resume parser, medical parser, receipt parser and so on. In this case I will used NER to recognize entity from a medical report. For the data I downloaded from [Kaggle - MEDICAL NER](https://www.kaggle.com/datasets/finalepoch/medical-ner)

![image](https://user-images.githubusercontent.com/91602612/230262791-7508a79c-2828-4d06-baf2-4578ef175583.png)