Anyone who presented a poster at the 2017 OHDSI Symposium is welcome and encouraged to share their full poster here. For more information about how to upload your poster, instructions are available on the OHDSI Library main page. If you have any questions, please contact Maura Beaton at beaton@ohdsi.org
A full list of posters presented at the 2017 OHDSI Symposium is available here.
Please note that while all presenters are welcome to share their posters, uploading your poster is not required.
Cao, Aize - quality_assurance_of_demographics_consistency_between_veterans_affairs_and_medicare_data_update.pdf
van Mulligen, Erik - Annotating Dutch free-text patient records with OHDSI standard vocabulary concepts
Rijnbeek, Peter - Do we really need ‘Big Data” for patient-level predictive modelling?
Levine, Matthew; Hripcsak, George - Terminology information loss and gain: mapping ICD9CM to OMOP with eMERGE case study
Rost, Melissa - Implementing Real-Time Patient Level Predictions Using PLP Models
Hajagos, Janos - Mapping Common Data Model data tables to an HDF5 file for reproducible machine learning workflows
Abedtash, Hamed - Assessing Mapping Performance from HL7 Continuity of Care Documents to the OMOP CDM
Schuemie, Martijn - A benchmark for population-level estimation methods
Schuemie, Martijn - Empirical evaluation of the OHDSI Methods Library
Londhe, Ajit - The Impact of Data Quality Annotations on Observational Data Research
Makadia, Rupa - Comparability Assessment of Cohorts with and without Laboratory Values
Defalco, Frank - Dataprint: A Novel Visualization Tool for Database Comparison
You, Seng Chan - Development of Clinically Informing application based on Recurrent Neural Network (CIReNN)
Starr, Richard - Process for Expediting ETL to the OMOP Common Data Model
Dymshyts, Dmitry; Ostropolets, Anna; Reich, Christian - International RxNorm Extension - to support the expansion of the OHDSI research network beyond the US
Chandran, Urmila; Reps, Jenna; Ryan, Patrick; Paul, Stang - Does It Matter if I Stay or Go? Predicting Patient-Level Attrition to Evaluate Study Generalizability
Reps, Jenna; Cepeda, Soledad; Ryan, Patrick - Predicting Who Will Develop Treatment Resistant Depression after Being Newly Diagnosed with Depression
Reps, Jenna; Hsiao, Carine; Johnston, Stephen - Development and validation of a model to predict cessation of antihyperglycemic medication after laparoscopic bariatric surgery among patients with type 2 diabetes
Swerdel, Joel; Reps, Jenna, Ryan; Patrick - Predictive Modeling of Incident Heart Failure in Subjects with Newly Diagnosed Atrial Fibrillation
Blacketer, Clair; Voss, Erica - Creating a Framework for Evaluating Open Healthcare Claims Using the OMOP Common Data Model
Feeney, Kristin - Building Deep Learning Models with the OMOP CDM
Nestsiarovich, Anastasiya - Comparison of 29 monotherapies for psychiatric hospitalization risk in bipolar spectrum disorders
Lauve, Nicolas - Local Control for patient level prediction and heterogeneity of treatment effect
Kumar, Praveen - Visit level suicidality/self-harm phenotyping in bipolar disorder
Aaron Galaznik, Greg Klebanov, Eldar Allakhverdiiev, Yuri Khoma and Christian Reich Predictive Modeling as an OHDSI Network Study: Treatment Non-Response in NSCLC patients treated with ALK Inhibitors