# F-debug/Medical-named-entity-recognition

<https://repo.masters-masters.com/en/repos/F-debug/Medical-named-entity-recognition>

[Home](https://repo.masters-masters.com/en) › [F-debug](https://repo.masters-masters.com/en/owners/F-debug) › [Medical-named-entity-recognition](https://repo.masters-masters.com/en/repos/F-debug/Medical-named-entity-recognition)

F-debug/Medical-named-entity-recognition has 156 stars on GitHub. Its RepoMasters card: Prototype tier. 本项目是针对医疗数据，进行命名实体识别。项目中有600份标注好的电子病历文本，共需识别含解剖部位、独立症状、症…

| Field | Value |
| --- | --- |
| Owner | [F-debug](https://repo.masters-masters.com/en/owners/F-debug) |
| Stars | 156 |
| Forks | 48 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2019 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [F-debug/Medical-named-entity-recognition](https://github.com/F-debug/Medical-named-entity-recognition) |

## Repository

本项目是针对医疗数据，进行命名实体识别。项目中有600份标注好的电子病历文本，共需识别含解剖部位、独立症状、症状描述、手术和药物五类实体。该领域的命名实体识别问题是自然语言处理中经典的序列标注问题。

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

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.