# liuhuanyong/MedicalNamedEntityRecognition

<https://repo.masters-masters.com/en/repos/liuhuanyong/MedicalNamedEntityRecognition>

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liuhuanyong/MedicalNamedEntityRecognition has 442 stars on GitHub. Its RepoMasters card: Alpha tier. Medical Named Entity Recognition implement using…

| Field | Value |
| --- | --- |
| Owner | [liuhuanyong](https://repo.masters-masters.com/en/owners/liuhuanyong) |
| Stars | 442 |
| Forks | 193 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2018 |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [liuhuanyong/MedicalNamedEntityRecognition](https://github.com/liuhuanyong/MedicalNamedEntityRecognition) |

## Repository

Medical Named Entity Recognition implement using bi-directional lstm and crf model with char embedding.CCKS2017中文电子病例命名实体识别项目,主要实现使用了基于字向量的四层双向LSTM与CRF模型的网络.该项目提供了原始训练数据样本(一般醒目,出院情况,病史情况,病史特点,诊疗经过)与转换版本,训练脚本,预训练模型,可用于序列标注研究.把玩和PK使用.

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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