# baiyyang/medical-entity-recognition

<https://repo.masters-masters.com/en/repos/baiyyang/medical-entity-recognition>

[Home](https://repo.masters-masters.com/en) › [baiyyang](https://repo.masters-masters.com/en/owners/baiyyang) › [medical-entity-recognition](https://repo.masters-masters.com/en/repos/baiyyang/medical-entity-recognition)

baiyyang/medical-entity-recognition has 225 stars on GitHub. Its RepoMasters card: Prototype tier. 包含传统的基于统计模型(CRF)和基于深度学习(Embedding-Bi-LSTM-CRF)下的医疗数据命名实体识别

| Field | Value |
| --- | --- |
| Owner | [baiyyang](https://repo.masters-masters.com/en/owners/baiyyang) |
| Stars | 225 |
| Forks | 69 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | Apache-2.0 |
| Created | 2018 |
| Topics | tensorflow, named-entity-recognition, conditional-random-fields, bi-lstm-crf |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [baiyyang/medical-entity-recognition](https://github.com/baiyyang/medical-entity-recognition) |

## Repository

包含传统的基于统计模型(CRF)和基于深度学习(Embedding-Bi-LSTM-CRF)下的医疗数据命名实体识别

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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