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awesome-ehr-deeplearning
Curated list of awesome papers for electronic health records(EHR) mining, machine learning, and deep learning.
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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awesome-bioie
🧫 A curated list of resources relevant to doing Biomedical Information Extraction (including BioNLP)
> 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
awsome-medical-coding-nlp: https://github.com/acadTags/Awesome-medical-coding-NLP
awesome-ehr-deep-learning: https://github.com/hurcy/awesome-ehr-deeplearning
awesome-ner: https://github.com/smiyawaki0820/awesome-ner
awesome-bioie > Research groups: https://github.com/caufieldjh/awesome-bioie#groups-active-in...
SNOMED-CT as RDF: https://sphn-semantic-framework.readthedocs.io/en/latest/ext...
> 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
awsome-medical-coding-nlp: https://github.com/acadTags/Awesome-medical-coding-NLP
awesome-ehr-deep-learning: https://github.com/hurcy/awesome-ehr-deeplearning
awesome-ner: https://github.com/smiyawaki0820/awesome-ner
awesome-bioie > Research groups: https://github.com/caufieldjh/awesome-bioie#groups-active-in...
SNOMED-CT as RDF: https://sphn-semantic-framework.readthedocs.io/en/latest/ext...
> 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
awsome-medical-coding-nlp: https://github.com/acadTags/Awesome-medical-coding-NLP
awesome-ehr-deep-learning: https://github.com/hurcy/awesome-ehr-deeplearning
awesome-ner: https://github.com/smiyawaki0820/awesome-ner
awesome-bioie > Research groups: https://github.com/caufieldjh/awesome-bioie#groups-active-in...
SNOMED-CT as RDF: https://sphn-semantic-framework.readthedocs.io/en/latest/ext...
> 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
awsome-medical-coding-nlp: https://github.com/acadTags/Awesome-medical-coding-NLP
awesome-ehr-deep-learning: https://github.com/hurcy/awesome-ehr-deeplearning
awesome-ner: https://github.com/smiyawaki0820/awesome-ner
awesome-bioie > Research groups: https://github.com/caufieldjh/awesome-bioie#groups-active-in...
SNOMED-CT as RDF: https://sphn-semantic-framework.readthedocs.io/en/latest/ext...