User Tools

Site Tools


projects:workgroups:wg_meeting_02032016

Differences

This shows you the differences between two versions of the page.

Link to this comparison view

Both sides previous revision Previous revision
Next revision
Previous revision
Last revision Both sides next revision
projects:workgroups:wg_meeting_02032016 [2016/03/07 21:42]
anu_gururaj
projects:workgroups:wg_meeting_02032016 [2016/03/07 22:50]
anu_gururaj
Line 6: Line 6:
  
 ==== Agenda ==== ==== Agenda ====
 +
 +{{:​projects:​workgroups:​nlp_wg_meeting_02032016_final.pdf|}}
  
   - Minimal Model Presentation – Alex   - Minimal Model Presentation – Alex
Line 20: Line 22:
 ===Minutes=== ===Minutes===
  
-  - Minimal model presentation - Alex+  - Minimal model presentation - Alex {{:​projects:​workgroups:​ohdsi_nlp_wg_yahi.pdf|}}
         - the model is based on the SHARE-N model and adapted to the current data structure. This model incorporates other semantic types and all of the modifiers are not available in cTAKES yet.         - the model is based on the SHARE-N model and adapted to the current data structure. This model incorporates other semantic types and all of the modifiers are not available in cTAKES yet.
         - the notes were processed from eMERGE cohort at Columbia with about 60,000 notes encompassing 1700 patients. The original patient number was 3200.         - the notes were processed from eMERGE cohort at Columbia with about 60,000 notes encompassing 1700 patients. The original patient number was 3200.
-        -  +        - In theory, a set containing the combination ​of minimal ​modifiers ​can be generatedPractically,​ can we trust the data enough to add it into OHDSI tables? - only highest confidence data (with maximum PPV) should be added to the tables
-  - Collect minimum ​set of modifiers ​for all clinical entities that support use of rule to derive clinical concepts: Alex +        Next steps
-      * cTAKES is being run on clinical notes programmaticallyAlex will present ​the minimal model in the next meeting+          Look at the note sections ​to determine the errors. 
-  Aggregate and share note-type metadata from various sourcesKarthik +          Work with Sunny to generate ​the NLP outputs for the phenotyping data 
-      * LOINC note type mapping would be a very useful resource. We should generate hierarchical representation of note-types as an ontology. Karthink will present his work to date at the next meeting. +          - Evaluate by comparisons with structured data 
-      * Existing ontology for note types to be shared : Vanderbilt (Hua) and Regenstrief (Jon) +          - Make the system more robust 
-  Simple search set up for MT samples: MinPresentation +          ​- ​Generate a protocol and/or annotation guidelines 
-      * Presentation +          - Share the data as Gold standard with manually annotated CUIs 
-      * The interface being developed should present a summary ​with visualization for patients/​notes. +          ​- Alex's script is to be tried on different datasets and evaluated across notes from different ​institutions 
-      * We will add Boolean query options ​to improve ​the search +          ​- Identify minimal set of notes to work with when recommending to the OHDSI community 
-      * We will implement a Ranking algorithm +          Identify sets of concepts that are not reliable - negation is a very good example of this idea. 
-      * Assign fake patient ID's to the notes to generate the visualization portion. +          Continue discussion of NLP system evaluation across different sites 
-      ​* ​Generate a program like Circe to define the patient cohort +   ​- The NLP-WG will meet on second Wednesday of every month
-      * Next steps: How to move the data from textual searches stored in table outside of OMOP to the OMOP? +
-          ​* Structured searches from CDW and textual searches can be combined using existing strategies. Jon will share the slides of his presentation ​on combining data from different ​searches +
-          ​* Run NLP on the ElasticSearch ​to extract information +
-  Wrappers for cTAKES and Metamap ​ +
-  Report on the WG - Hua will generate and share with the members for comments +
-  - The best ways to represent textual data need to be determined+
  
 ===Action Items=== ===Action Items===
  
-  ​- Minimal Model Presentation - Alex +  - Note-type mapping Presentation - Karthik
-  ​- Note-type mapping Presentation - Karthink+
   - Share existing ontologies from Vanderbilt (Hua) and Regenstrief (Jon)   - Share existing ontologies from Vanderbilt (Hua) and Regenstrief (Jon)
   - Share strategies for combining data from different searches - Jon   - Share strategies for combining data from different searches - Jon
Line 53: Line 48:
   - Improvements to search engine set up using MT samples - Min   - Improvements to search engine set up using MT samples - Min
   - Textual Data Representation - Discussion   - Textual Data Representation - Discussion
 +  - NLP system evaluation across different sites - Discussion
projects/workgroups/wg_meeting_02032016.txt · Last modified: 2016/03/09 20:31 by anu_gururaj