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projects:workgroups:wg_meeting_11042015 [2015/11/30 16:53]
anu_gururaj
projects:workgroups:wg_meeting_11042015 [2016/01/06 20:47] (current)
anu_gururaj [Agenda]
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 ===Minutes=== ===Minutes===
  
 +  - Presentation {{:​projects:​workgroups:​nlp_wg_meeting_11042015_final.pdf|}}
   -Updates from Annual meeting   -Updates from Annual meeting
      * Extensive interest from the OHDSI community with reference to the text processing aspect. During the meeting, suggestions for improvements in the current projects were received.      * Extensive interest from the OHDSI community with reference to the text processing aspect. During the meeting, suggestions for improvements in the current projects were received.
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   -NLP tools/​pipelines for ETL   -NLP tools/​pipelines for ETL
     * The plan is to develop a set of wrappers for multiple NLP tools (currently cTAKES and MetaMap) for conversion of output to the OHDSI textual data schema.     * The plan is to develop a set of wrappers for multiple NLP tools (currently cTAKES and MetaMap) for conversion of output to the OHDSI textual data schema.
-    * In order to get an idea of the updates in cTAKESneed to invite Guergana Savova to present and do a demo of cTAKES during the January call.+    * In order to get an idea of the updates in cTAKESneed to invite Guergana Savova to present and do a demo of cTAKES during the January call.
     * In order to prioritize the work, focus on positive concepts first for high confidence extraction of NER from text.     * In order to prioritize the work, focus on positive concepts first for high confidence extraction of NER from text.
   -Use cases, e.g, phenotyping for cohort selection using NLP outputs   -Use cases, e.g, phenotyping for cohort selection using NLP outputs
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     * For machine-learning based algorithms, the NLP output will be accessed outside of the CDM     * For machine-learning based algorithms, the NLP output will be accessed outside of the CDM
     * Is ElasticSearch a good first step in this area? ES should be considered here as a tool more for cohort building and selection rather than phenotyping. For this purpose, it is a good starting point.     * Is ElasticSearch a good first step in this area? ES should be considered here as a tool more for cohort building and selection rather than phenotyping. For this purpose, it is a good starting point.
-    * +    * Finding patients for clinical trials will be used as a usecase here. The ES could serve as an explorer for feature selection in the phenotyping process. 
 +    * Action item: Simple search set up for MT samples by next meeting by Min. 
 +    * Use MIMICII and MIMICIII as demo  datasets for the tools being developed by the group
   -Discussion   -Discussion
 +
 +
 +===Action Items===
 +
 +  - General IRB document for use of clinical text and approval from all contributors,​ post online - Anu
 +  - Collect minimum set of modifiers for all clinical entities that support use of rule to derive clinical concepts: Alex
 +  - Aggregate and share note-type metadata from various sources: Karthik
 +  - Simple search set up for MT samples: Min
projects/workgroups/wg_meeting_11042015.1448902429.txt.gz · Last modified: 2015/11/30 16:53 by anu_gururaj