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CU-8699mrvup docs: update urls throughout to point to new cogstack-nlp repo (#71)
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README.md

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[![Build Status](https://github.com/CogStack/cogstack-nlp/actions/workflows/medcat-v2_main.yml/badge.svg?branch=main)](https://github.com/CogStack/cogstack-nlp/actions/workflows/medcat-v2_main.yml/badge.svg?branch=main)
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[![Documentation Status](https://readthedocs.org/projects/cogstack-nlp/badge/?version=latest)](https://readthedocs.org/projects/cogstack-nlp/badge/?version=latest)
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[![Latest release](https://img.shields.io/github/v/release/CogStack/MedCAT2)](https://github.com/CogStack/MedCAT2/releases/latest)
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[![Latest release](https://img.shields.io/github/v/release/CogStack/cogstack-nlp?filter=medcat/*)](https://github.com/CogStack/cogstack-nlp/releases/latest)
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<!-- [![pypi Version](https://img.shields.io/pypi/v/medcat.svg?style=flat-square&logo=pypi&logoColor=white)](https://pypi.org/project/medcat/) -->
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Cogstack Natural Language Processing is for analysing clinical data using AI to draw insights from text in or documents in an Electronic Health Records.

anoncat-demo-app/README.md

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# Deidentify app
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Demo for AnonCAT. It uses [MedCAT](https://github.com/CogStack/MedCAT), an advanced natural language processing tool, to identify and classify sensitive information, such as names, addresses, and medical terms.
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Demo for AnonCAT. It uses [MedCAT](https://github.com/CogStack/cogstack-nlp/tree/main/medcat-v1), an advanced natural language processing tool, to identify and classify sensitive information, such as names, addresses, and medical terms.
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## Example
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### Build your own model
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To build your own models please follow the tutorials outlined in [MedCATtutorials](https://github.com/CogStack/MedCATtutorials)
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To build your own models please follow the tutorials outlined in [MedCATtutorials](https://github.com/CogStack/cogstack-nlp/tree/main/medcat-v1-tutorials)
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*__Note:__ This is currently under development*
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anoncat-demo-app/app/frontend/src/App.vue

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<br>
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<p>Please DO NOT test with any real sensitive PHI data.</p>
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<br>
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<p>Local validation and fine-tuning available via <a href="https://github.com/CogStack/MedCATtrainer">MedCATtrainer</a>.
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<p>Local validation and fine-tuning available via <a href="https://github.com/CogStack/cogstack-nlp/tree/main/medcat-trainer">MedCATtrainer</a>.
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Email us, <a href="mailto:[email protected]">[email protected]</a>, to discuss model access, model performance, and your use case.
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</p>
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<br>

medcat-trainer/README.md

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# Medical <img src="https://github.com/CogStack/cogstack-nlp/blob/main/media/cat-logo.png?raw=true" width=45>oncept Annotation Tool Trainer
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[![Build Status](https://github.com/CogStack/cogstack-nlp/actions/workflows/medcat-trainer_ci.yml/badge.svg?branch=main)](https://github.com/CogStack/cogstack-nlp/actions/workflows/medcat-trainer_ci.yml?query=branch%3Amain)
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[![Build Status](https://github.com/CogStack/cogstack-nlp/actions/workflows/medcat-trainer_qa.yml/badge.svg?branch=main)](https://github.com/CogStack/cogstack-nlp/actions/workflows/medcat-trainer_qa.yml?query=branch%3Amain)
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[![Build Status](https://github.com/CogStack/cogstack-nlp/actions/workflows/medcat-trainer_release.yml/badge.svg)](https://github.com/CogStack/cogstack-nlp/actions/workflows/medcat-trainer_release.yml)
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[![Documentation Status](https://readthedocs.org/projects/cogstack-nlp-medcat-trainer/badge/?version=latest)](https://readthedocs.org/projects/cogstack-nlp-medcat-trainer/badge/?version=latest)
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[![Latest release](https://img.shields.io/github/v/release/CogStack/cogstack-nlp)](https://github.com/CogStack/cogstack-nlp/releases/latest)
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[![Latest release](https://img.shields.io/github/v/release/CogStack/cogstack-nlp?filter=medcat-trainer/*)](https://github.com/CogStack/cogstack-nlp/releases/latest)
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MedCATTrainer is an interface for building, improving and customising a given Named Entity Recognition
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and Linking (NER+L) model (MedCAT) for biomedical domain text.

medcat-trainer/docs/installation.md

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## Download from Dockerhub
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Clone the repo, run the default docker-compose file and default env var:
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```shell
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$ git clone https://github.com/CogStack/MedCATtrainer
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$ cd MedCATtrainer
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$ git clone https://github.com/CogStack/cogstack-nlp
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$ cd cogstack-nlp/medcat-trainer
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$ docker-compose up
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```
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|Parameter|Description|
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|---------|-----------|
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|MEDCAT_CONFIG_FILE|MedCAT config file as described [here](https://github.com/CogStack/MedCAT/blob/master/medcat/config.py)|
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|MEDCAT_CONFIG_FILE|MedCAT config file as described [here](https://github.com/CogStack/cogstack-nlp/blob/main/medcat-v2/medcat/config/config.py)|
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|BEHIND_RP| If you're running MedCATtrainer, use 1, otherwise this defaults to 0 i.e. False|
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|MCTRAINER_PORT|The port to run the trainer app on|
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|EMAIL_USER|Email address which will be used to send users emails regarding password resets|

medcat-trainer/docs/maintenance.md

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The latest stable releases update the `docker-compose.yml` and `docker-compose-prod.yml` files.
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To update these docker compose files, either copy them directly from the [repo](https://github.com/CogStack/MedCATtrainer)
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To update these docker compose files, either copy them directly from the [repo](https://github.com/CogStack/cogstack-nlp/tree/main/medcat-trainer)
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or update the cloned files via:
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```shell

medcat-trainer/docs/project_admin.md

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3. Save Model - Write the in memory model to disk - to save the current in memory model state. This option is generally not advised as full model training should be done outside the trainer instance ideally.
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### Notes
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- Example Concept and Vocab databses are freely available on MedCAT [github](https://github.com/CogStack/MedCAT).
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- Example Concept and Vocab databses are freely available on MedCAT [github](https://github.com/CogStack/cogstack-nlp/tree/main/medcat-v2).
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Note. UMLS and SNOMED-CT are licensed products so only these smaller trained concept / vocab databases are made available currently.
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- More documentation on the creation of UMLS / SNOMED-CT CDBs from respective source data will be released soon.
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- Tasks allow for the creation of meta-annotations and their associated set of values an annotator can use.

medcat-trainer/install.sh

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ENV_FILE=/tmp/mc_trainer/envs/env
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echo "Downloading docker-compose.yml and default env vars"
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curl https://cdn.githubraw.com/CogStack/MedCATtrainer/9fbd517e/docker-compose.yml > $DOCKER_COMP_FILE
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curl https://raw.githubusercontent.com/CogStack/MedCATtrainer/9fbd517e/envs/env > $ENV_FILE
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curl https://raw.githubusercontent.com/CogStack/cogstack-nlp/09e32429/medcat-trainer/docker-compose.yml > $DOCKER_COMP_FILE
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curl https://raw.githubusercontent.com/CogStack/cogstack-nlp/09e32429/medcat-trainer/envs/env > $ENV_FILE
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trap 'rm -rf /tmp/mc_trainer && cd $CURR_LOC' EXIT
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echo "Starting MedCATtrainer containers"

medcat-trainer/notebook_docs/API_Examples.ipynb

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"### Create CDBs and Vocabularies\n",
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"The MedCAT models used by MedCATTrainer are output by MedCAT instances of classesmedcat.cdb.CDB, medcat.utils.vocab.Vocabulary. Calling save_dict('\\<file location\\>') will write a file that can be loaded in another instance of MedCAT (via load_dict()), or within MedCATTrainer.\n",
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"\n",
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"Examples models are provided on the MedCAT Repository: https://github.com/CogStack/MedCAT"
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"Examples models are provided on the MedCAT Repository: https://github.com/CogStack/cogstack-nlp/tree/main/medcat-v1"
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]
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},
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{

medcat-trainer/notebook_docs/Generate_CUI_Filters.ipynb

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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Relation file from SNOMED-CT Preprocessing tutorial: https://github.com/CogStack/MedCATtutorials/blob/main/notebooks/specialised/Preprocessing_SNOMED_CT.ipynb, \n",
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"Relation file from SNOMED-CT Preprocessing tutorial: https://github.com/CogStack/cogstack-nlp/blob/main/medcat-v1-tutorials/notebooks/specialised/Preprocessing_SNOMED_CT.ipynb, \n",
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"\n",
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"In section \"SNOMED Relationships\"\n"
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]

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