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RealMedNLP_CR_JA
Tomohiro/RealMedNLP_CR_JA
RealMedNLP_CR_JA is a token classification model from Tomohiro. Use it when you need labels on individual words, such as names. It is set up for transformers. The card lists the license as cc-by-4.0.
This is a model for named entity recognition of Japanese medical documents.
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At a glance
- Task
- Token Classification
- Library
- transformers
- License
- cc-by-4.0
- Model type
- bert
- Access
- Public
- Created
- Aug 8, 2022
- Updated
- Aug 13, 2022
- SHA
- 2981014c
Datasets
Model card
From the Hugging Face model README
This is a model for named entity recognition of Japanese medical documents.
How to use
Download the following five files and put into the same folder.
- id_to_tags.pkl
- key_attr.pkl
- text.txt
- NER_medNLP.py
- predict.py
You can use this model by running predict.py.
python3 predict.py
Input Example
肥大型心筋症、心房細動に対してＷＦ投与が開始となった。
治療経過中に非持続性心室頻拍が認められたためアミオダロンが併用となった。
Output Example
<d certainty="positive">肥大型心筋症、心房細動</d>に対して<m-key state="executed">ＷＦ</m-key>投与が開始となった。
<timex3 type="med">治療経過中</timex3>に<d certainty="positive">非持続性心室頻拍</d>が認められたため<m-key state="executed">アミオダロン</m-key>が併用となった。
- Task
- Token Classification
- Library
- transformers
- Type
- bert
- License
- cc-by-4.0
- Languages
- ja
- Created
- Aug 8, 2022
- Updated
- Aug 13, 2022