| Georgetown-IR-Lab/QuickUMLS |
321 |
|
0 |
1 |
over 2 years ago |
7 |
October 16, 2023 |
29 |
mit |
Python |
| System for Medical Concept Extraction and Linking |
| baiyyang/medical-entity-recognition |
161 |
|
0 |
0 |
almost 6 years ago |
0 |
|
0 |
apache-2.0 |
Python |
| 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 |
| SuperBruceJia/pytorch-flask-deploy-webapp |
18 |
|
0 |
0 |
over 3 years ago |
0 |
|
0 |
mit |
Python |
| This is a Flask + Docker deployment of the PyTorch-based Named Entity Recognition (NER) Model (BiLSTM-CRF) in the Medical AI. |
| SuperBruceJia/MedicalNER |
13 |
|
0 |
0 |
about 3 years ago |
0 |
|
0 |
mit |
Jupyter Notebook |
| An implementation of several models (BiLSTM-CRF, BiLSTM-CNN, BiLSTM-BiLSTM) for Medical Named Entity Recognition (NER) |
| umcu/dutch-medical-concepts |
5 |
|
0 |
0 |
over 3 years ago |
0 |
|
2 |
gpl-3.0 |
Jupyter Notebook |
| Instructions and code to create for a table of UMLS, SNOMED or HPO concepts containing Dutch medical names, usable in named entity recognition and linking methods such MedCAT. |
