OHDSI2022: Lightning Talks (Seinen, Shoaibi, Londhe, Yang, Naderalvojoud, Zhang, Park, Dhingra)

The 2022 OHDSI Symposium Collaborator Showcase featured eight lightning talks that were moderated by Kristin Kostka (Northeastern University).

1:05 - Disambiguation of ICPC codes using free-text and active learning to improve concept mappings (Tom Seinen, Erasmus MC)
8:15 - OHDSI Phenotype Phebruary: lessons learned (Azza Shoaibi, Johnson & Johnson)
15:50 - Reduce, Reuse, & Recycle: Going Green with Atlas Reusables (Ajit Londhe, Amgen)
22:40 - Best practices for prognostic model development using observational health data: a scoping review (Cynthia Yang, Erasmus MC)
29:40 - Machine Learning for Predicting Patients at Risk of Prolonged Opioid Use Following Surgery (Behzad Naderalvojoud, Stanford University)
36:48 - When does statistical equality meet health equity: developing analytical pipelines to compare associational and causal fairness in their application to EHR data (Linying Zhang, Columbia University)
43:22 - Analyzing the Effect of Hypertension on Retinal Thickness Using Radiology Common Data Model (R-CDM) (Chul Hyoung Park, Ajou University)
50:08 - Multinational Patterns of Second-line Anti-hyperglycemic Drug Initiation: A LEGEND-T2DM Study (Lovedeep Dhingra, Yale University)

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