projects:workgroups:wg_meeting_01092019
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Table of Contents
Please find the slides from the meeting below:
nlp_wg_meeting_20190109_v2.pdf
Please find the recording of the meeting below:
Action items updates:
2018 Summary
- Delivered NLP Tools (https://github.com/OHDSI/NLPTools)
- Wrappers for converting existing NLP systems (MetaMap, cTAKES, CLAMP) outputs to CDM NLP tables
- Mapping of CUIs to standard terminology in CDM
- Other ongoing projects
- Mapping of Note Types to LOINC/standard vocabulary
- Landscape Analysis of section identifier systems and proposal of a standard terminology for use
- Extension and standardization of concept-modifiers from NLP systems
2019 Aims
- Evaluate and revise textual CDM tables by sharing practical issues and lessons learnt during ETL for processing textual data into CDM
- Develop tools (within Atlas) to facilitate uses of NLP data for cohort building/phenotyping
- Collaborate with eMERGE consortium:
- Presentation by Yuan Luo on March 13th, 2019
- Conduct cross-site studies that use textual data
- Continue developing other NLP resources
Ongoing Projects
- Mapping of Note Types to LOINC/standard vocabulary – Karthik Natarajan, Ruth Reeves, and Jon Duke
- Karthik hopes to start working on this again, last progress was an evaluation against rule based system with Med (naive Bayes approach)
- Notes shared with Jon, loaded report names and generated n-grams, need to be tagged per ideas for mapping, Karthik to find somebody to tag/annotate, not accounting yet for linking them back to OMOP vocabulary, note-type needs to be standardized, the LOINC document ontology and Radlax are flattened here, both Note_type and Note_class are present, needs to be reviewed, leverage Jon's tool here
- Landscape Analysis of section identifier systems and proposal of a standard terminology for use – Hua Xu and Karthik Natarajan
- use SecTagger?, no other updates, Mitre has a tool called Zoner, need to review current Section Header tools, Stephane will share the terminology he has
- Mapping of CUIs to standard terminology – Juan Banda, need to add link to Juan's repo in the OHDSI NLP repo
- Standardization of term_modifiers and values – Hua Xu
Presentation
Enterprise NLP needs
- Fast deployment of NLP solutions through
- Task scheduling
- Resource management (distributed, scalable)
- Visual Analytics
- Search NLP outputs
- Extract information for research – phenotyping
- Enhanced security
- Multi-user
- Configurable
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