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--- projects:workgroups:wg_meeting_01092019 [2019/02/11 22:44] – anu_gururaj2
+++ projects:workgroups:wg_meeting_01092019 [2019/02/11 23:37] (current) – [Enterprise NLP needs] anu_gururaj2
@@ Line 20: / Line 20: @@
 ===== 2019 Aims =====
-  * Establish ETL for processing textual data into CDM
+  * 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
-  * Collaborate with eMERGE consortium/presentation by Yuan Luo on March 13th, 2019
+===== 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
+  * Demo by Ergin Soysal