OHDSI Digest – March 27th, 2017

OHDSI MEETINGS THIS WEEK
Vocabulary visualization WG meeting – Tuesday at 2pm ET
https://jjconferencing.webex.com/mw3000/mywebex/default.do?service=1&main_url=%2Fmc3000%2Fe.do%3Fsiteurl%3Djjconferencing%26AT%3DMI%26EventID%3D547792122%26MTID%3Dm2025b16c33f920fa1354f9a53ffd6023%26Host%3DQUhTSwAAAAPmis8F3632QJAcSLPqnudmJ5FxYSsNbErrnQJO-qJFlCcls4nr4ed1x4FOoHAFS434bRL_iSix48BEyNHjTaKg0%26FrameSet%3D2&siteurl=jjconferencing&nomenu=true
Teleconference: 1-855-565-9999 (US)
Access Code: 881-735-36

Patient-level prediction (eastern hemisphere) workgroup meeting – Wednesday at 3pm Hong Kong time
https://global.gotomeeting.com/join/972917661

Population-level estimation (western hemisphere) workgroup meeting – Thursday at 12pm ET
https://meetings.webex.com/collabs/#/meetings/detail?uuid=M3T9BZV9RSB6YNDM8WDDZMI19D-D1JL

Hadoop WG meeting – Friday at 11am ET
http://cloudera.webex.com/meet/sdolley

ANNOUNCEMENTS
2017 OHDSI Symposium – The date and location for the 2017 OHDSI Symposium has been confirmed! This year’s symposium will take place on Wednesday, October 18th at the Bethesda North Marriott. Full-day tutorial sessions will take place on October 19-20th. If you’re interested in attending, please save the date.

OHDSI F2F – Materials from the OHDSI F2F to be posted soon.

OHDSI collaborator meetings – We’re looking for presenters for our weekly community meetings. If you’re interested in sharing your working with the community, please let us know by replying to this thread, or by emailing Maura Beaton at beaton@ohdsi.org.

COMMUNITY PUBLICATIONS
Sharing Clinical Big Data While Protecting Confidentiality and Security: Observational Health Data Sciences and Informatics.
https://www.ncbi.nlm.nih.gov/pubmed/28261525

 

Large-scale adverse effects related to treatment evidence standardization (LAERTES): an open scalable system for linking pharmacovigilance evidence sources with clinical data
https://link.springer.com/article/10.1186/s13326-017-0115-3

Learning Effective Treatment Pathways for Type-2 Diabetes from a clinical data warehouse.
https://www.ncbi.nlm.nih.gov/pubmed/28269963

Comparing lagged linear correlation, lagged regression, Granger causality, and vector autoregression for uncovering associations in EHR data.
https://www.ncbi.nlm.nih.gov/pubmed/28269874

Adverse drug reactions associated with off-label use of ketorolac, with particular focus on elderly patients. An analysis of the Italian pharmacovigilance database and a population based study.
https://www.ncbi.nlm.nih.gov/pubmed/27875919

Comparative Adherence to Diabetes Drugs: An Analysis of Electronic Health Records and Claims Data
http://onlinelibrary.wiley.com/doi/10.1111/dom.12931/full

How Good Are Provider Annotations?: A Machine Learning Approach
https://scholarworks.iupui.edu/handle/1805/12064

Generating Multi-label Discrete Electronic Health Records using Generative Adversarial Networks
https://arxiv.org/pdf/1703.06490.pdf

Suicide Following Deliberate Self-Harm
http://ajp.psychiatryonline.org/doi/abs/10.1176/appi.ajp.2017.16111288

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