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GitHub / 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

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MyDarapy%2FNamed-entity-recognition-in-clinical-texts-using-NLP-techniques
PURL: pkg:github/MyDarapy/Named-entity-recognition-in-clinical-texts-using-NLP-techniques

Stars: 1
Forks: 0
Open issues: 0

License: None
Language: Jupyter Notebook
Size: 5.84 MB
Dependencies parsed at: Pending

Created at: about 1 year ago
Updated at: 6 months ago
Pushed at: about 1 year ago
Last synced at: 3 months ago

Topics: healthcare-data, machine-learning, medical, named-entity-recognition, nlp, spacy, spacy-nlp

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