OHDSI MEETINGS THIS WEEK
OHDSI Community Call - Tuesday at 12pm ET
https://meetings.webex.com/collabs/#/meetings/detail?uuid=M59X2V1U61WC9ASID2Z5N3UT95-D1JL&rnd=811649.9868221112121212
US TOLL: +1-415-655-0001
Meeting Number: 199 982 907
Population-Level Estimation (Eastern hemisphere) Workgroup Call - Wednesday at 3pm Hong Kong time
https://meetings.webex.com/collabs/meetings/join?uuid=M6WE9AOKFETH2VEFPVCZWWBIT0-D1JL
Patient-Level Prediction (Western hemisphere) Workgroup call - Wednesday at 12pm ET
https://global.gotomeeting.com/join/972917661
Access Code: 972-917-661
Audio PIN: Shown after joining the meeting
Meeting ID: 972-917-661
OHDSI Atlas/WebAPI Working Group - Wednesday’s at 10am ET
Webex: https://jjconferencing.webex.com/mw3200/mywebex/default.do?service=1&main_url=%2Fmc3200%2Fe.do%3Fsiteurl%3Djjconferencing%26AT%3DMI%26EventID%3D723613737%26MTID%3Dmca074ae1ff6eb7d80245d36b59188c80%26Host%3DQUhTSwAAAAQu7z-H6uBR-xB-rIayX1JLx755ULoZoUIXURbDdFFbLLaW7f1xfvfJ77xlTf629IST5ee62NyFXxW4_2tdQHX30%26FrameSet%3D2&siteurl=jjconferencing&nomenu=true
GIS Working Group Meeting - Next Monday (December 3rd) at 10am ET
Meeting Number: 735 317 239
Password: gaia
ANNOUNCEMENTS
2018 OHDSI Symposium Materials - All slides, handouts and abstracts from this year’s symposium have been uploaded here: 2018 OHDSI Symposium Materials – OHDSI
2018 OHDSI Symposium Recording - Video records from the main symposium are available here: 2018 OHDSI Symposium Videos – OHDSI
2018 Tutorial Recordings - Tutorial recordings are still under review. We are aiming to have them posted over the next few weeks. Announcements will be made on the forum as they become available.
SAVE THE DATE: The 2019 OHDSI F2F will take place on June 3-4th 2019 at Case Western Reserve University in Cleveland, OH. More details about the theme of the meeting will be posted shortly
COMMUNITY PUBLICATIONS
Machine learning model combining features from algorithms with different analytical methodologies to detect laboratory-event-related adverse drug reaction signals.
Mechanistic machine learning: how data assimilation leverages physiologic knowledge using Bayesian inference to forecast the future, infer the present, and phenotype.
Characterizing Design Patterns of EHR-Driven Phenotype Extraction Algorithms
Low Rates of Screening for Celiac Disease Among Family Members
https://celiacdiseasecenter.columbia.edu/sites/default/files/2018%20Low%20Rates%20of%20Screening%20for%20Celiac%20Disease%20Among%20Family%20Members.pdf
A Vision for a Person-Centered Health Information System