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This repository was archived by the owner on Jul 28, 2025. It is now read-only.

Releases: CogStack/MedCAT

MedCAT 1.3.0

04 Jul 22:04
5ac04d2

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What's Changed

New Contributors

Full Changelog: v1.2.8...v1.3.0

MedCAT 1.2.8

30 Mar 22:52
3e97995

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Bugs:

  • fixed: spacy dependency introduced a bug

Features:

  • Downsampling disabled during training
  • Random sampling of synonyms during unsupervised training added

Other:

  • Documentation organized a bit
  • More stuff added to versioning

MedCAT 1.2.7

11 Feb 13:31
4ec5d76

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What's Changed

  • Apply type checking to the whole medcat module by @baixiac in #182 #169
  • Verify users' UMLS metathesaurus license by @baixiac in #185
  • Deid by @w-is-h in #187
  • Add the online form for model download by @baixiac in #186
  • Remove support for py36 by @baixiac in #189
  • Update ethnicity_map.py by @jthteo in #194
  • Enable the preprocessing of new SNOMED UK extension release format by @antsh3k in #199
  • Implemented a simple versioning system until the main one is done by @w-is-h in #205
  • Save checkpoints during (un)supervised training and support training resumption by @baixiac in #206 #181 #178

Full Changelog: v1.2.6...v1.2.7

MedCAT 1.2.6

07 Dec 18:15

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What's Changed

Full Changelog: v1.2.5...v1.2.6

MedCAT 1.2.5

04 Nov 12:07

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Full Changelog: v1.2.4...v1.2.5

MedCAT 1.2.4

04 Nov 10:59

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Full Changelog: v1.2.3...v1.2.4

MedCAT 1.2.3

25 Oct 12:03
ed2ec93

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  • Fix pipeline for creating vocab with gensim 4.1.2
  • Add linting to the GH Actions workflow

Full Changelog: v1.2.1...v1.2.2

MedCAT 1.2.0

20 Oct 14:35

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  • Model packs
  • New faster and improved meta_cat with batch processing
  • Multiprocessing optimized for GPU runs and large scale datasets (100M+ documents)
  • Additional method multiprocessing_pipe for parallelism
  • Bug fixes

Bug fixes and support for BERT

28 Jul 13:17
3aa9b9b

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FIxed bugs from v1 and added support for BERT.

First release of MedCAT

01 Jul 23:09

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Pre-release

MedCAT is a Medical Concept Annotation Tool that uses unsupervised machine learning to recognise and link medical concepts with clinical terminologies such as UMLS. MedCAT, like similar tools, uses a concept database to find and link concept mentions inside of biomedical documents. In addition, it has disambiguation, spell-checking and the option for supervised and active learning for improved disambiguation.