> The objective of this competition is to link spans of text in clinical notes with specific topics in the SNOMED CT clinical terminology. Participants will tra

> The objective of this competition is to link spans of text in clinical notes with specific topics in the SNOMED CT clinical terminology. Participants will train models based on real-world doctor's notes which have been de-identified and annotated with SNOMED CT concepts by medically trained professionals. This is the largest publicly available dataset of labelled clinical notes, and you can be one of the first to use it! NER: Named Entity Recognition: https://en.wikipedia.org/wiki/Named-entity_recognition https://en.wikipedia.org/wiki/Named-entity_recognition awsome-medical-coding-nlp: https://github.com/acadTags/Awesome-medical-coding-NLP https://github.com/acadTags/Awesome-medical-coding-NLP awesome-ehr-deep-learning: https://github.com/hurcy/awesome-ehr-deeplearning https://github.com/hurcy/awesome-ehr-deeplearning awesome-ner: https://github.com/smiyawaki0820/awesome-ner https://github.com/smiyawaki0820/awesome-ner awesome-bioie > Research groups: https://github.com/caufieldjh/awesome-bioie#groups-active-in-the-field https://github.com/caufieldjh/awesome-bioie#groups-active-in... SNOMED-CT as RDF: https://sphn-semantic-framework.readthedocs.io/en/latest/external_resources/snomed-ct.html#snomed-ct https://sphn-semantic-framework.readthedocs.io/en/latest/ext... ... SNOMED-CT is a Medical Terminology. SNOMED-CT: https://en.wikipedia.org/wiki/SNOMED_CT https://en.wikipedia.org/wiki/SNOMED_CT Traditionally, a Terminology Service provides a query endpoint over a schema like SNOMED-CT (which is a nonredistributable medical XML schema, which is challenging for Open Linked Data): https://github.com/NCIP/lexevs https://github.com/NCIP/lexevs https://github.com/OpenConceptLab https://github.com/OpenConceptLab https://openconceptlab.org/terminology-service/ https://openconceptlab.org/terminology-service/ https://github.com/MedevaKnowledgeSystems/pymedtermino/blob/master/doc/tuto_en.rst https://github.com/MedevaKnowledgeSystems/pymedtermino/blob/... : > For SNOMED CT, ICD10 and MedDRA, the data are not included (because they are not freely redistribuable) but they can be downloaded in XML format. PyMedTermino includes scripts for exporting these data into SQLite3 databases.