TopMost
medspacy
TopMost | medspacy | |
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1 | 2 | |
146 | 479 | |
- | 2.1% | |
7.6 | 8.3 | |
about 2 months ago | 6 days ago | |
Jupyter Notebook | Jupyter Notebook | |
Apache License 2.0 | MIT License |
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TopMost
medspacy
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Guidance needed: Extracting diseases and symptoms from medical text
https://github.com/medspacy/medspacy and https://allenai.github.io/scispacy/ should get you most of the way there
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[N] Google confirms DeepMind Health Streams project has been killed off
Not to hand, but there are a few frameworks. The big one is cTAKES, but also fastumls. Uh I work with two others: LEO which is a fancy version of cTAKES and medspacy, which is a medical version of spacy, which is great. Bonus points: medspacy is in python. Disclaimer: I actually work on medspacy. https://github.com/medspacy/medspacy
What are some alternatives?
tf-transformers - State of the art faster Transformer with Tensorflow 2.0 ( NLP, Computer Vision, Audio ).
spaCy - 💫 Industrial-strength Natural Language Processing (NLP) in Python
converse - Conversational text Analysis using various NLP techniques
contextualized-topic-models - A python package to run contextualized topic modeling. CTMs combine contextualized embeddings (e.g., BERT) with topic models to get coherent topics. Published at EACL and ACL 2021 (Bianchi et al.).
interpret - Fit interpretable models. Explain blackbox machine learning.
rakun2 - RaKUn 2.0 - A fast keyword detection algorithm
scispacy - A full spaCy pipeline and models for scientific/biomedical documents.
CodeSearchNet - Datasets, tools, and benchmarks for representation learning of code.
practical-pytorch - Go to https://github.com/pytorch/tutorials - this repo is deprecated and no longer maintained