carrpa
March 24, 2023, 9:28am
1
Is Medcat1.7.0 trained on sentences, or on multi-sentence documents, i.e. documents greater than 100 characters.
Hi,
I am not fully sure what you mean by your question. The 1.7.0 release of medcat is not a trained model (nor does it contain one), but a package that provides the means and tools for training and using of a medCAT model.
The models we have publicly available are listed in the README:
# Medical <img src="https://github.com/CogStack/MedCAT/blob/master/media/cat-logo.png" width=45> oncept Annotation Tool
[](https://github.com/CogStack/MedCAT/actions/workflows/main.yml?query=branch%3Amaster)
[](https://medcat.readthedocs.io/en/latest/?badge=latest)
[](https://github.com/CogStack/MedCAT/releases/latest)
[](https://pypi.org/project/medcat/)
MedCAT can be used to extract information from Electronic Health Records (EHRs) and link it to biomedical ontologies like SNOMED-CT and UMLS. Paper on [arXiv](https://arxiv.org/abs/2010.01165).
**Official Docs [here](https://medcat.readthedocs.io/en/latest/)**
**Discussion Forum [discourse](https://discourse.cogstack.org/)**
## Available Models
We have 4 public models available:
1) UMLS Small (A modelpack containing a subset of UMLS (disorders, symptoms, medications...). Trained on MIMIC-III)
2) SNOMED International (Full SNOMED modelpack trained on MIMIC-III)
3) UMLS Dutch v1.10 (a modelpack provided by UMC Utrecht containing [UMLS entities with Dutch names](https://github.com/umcu/dutch-umls) trained on Dutch medical wikipedia articles and a negation detection model [repository](https://github.com/umcu/negation-detection/)/[paper](https://doi.org/10.48550/arxiv.2209.00470) trained on EMC Dutch Clinical Corpus).
4) UMLS Full. >4MM concepts trained self-supervsied on MIMIC-III. v2022AA of UMLS.
show original
None of these have actually been trained on medcat v1.7.0 (though should be mostly compatible with it).
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