Posters

1. Feasibility of Integrating DICOM Headers into the OMOP Medical Imaging Common Data Model (MI-CDM): A Pilot Study Using Chest CT Data by Kyulee Jeon, Woo Yeon Park, Teri Sippel Schmidt, Paul Nagy, Seng Chan You
2. Risk of aortic aneurysm or dissection following use of fluoroquinolones: a multinational network cohort study by Jack L Janetzki, Jung Ho Kim, Nicole Pratt, Seng Chan You
3. Mapping Thai Medicine Terminology to RxNorm: Lessons Learned in Standard Vocabulary Integration by Krittaphas Chaisutyakorn, Peamboon Thomchotpong, Natpatchara Pongjirapat, Jirapat Aiamsopon, Natthawut Adulyanukosol
4. Enabling Genomic Data Harmonization in OMOP CDM by Erwin Tantoso, Ngiam Kee Yuan, Mukkesh Kumar
5. Personalised prediction of chronic kidney disease progression in patients with chronic kidney disease stages 3-5: a multicentre study using the machine learning approach by Trung Toan Duong, Minh Tri Nguyen, Chia-Te Liao, Ngoc Hoang Le, Thanh Phuc Phan, Chih-Wei Huang, Jason C. Hsu, Alex P.A Nguyen
6. Python Framework for Patient-Level Prediction Models by Minh Nguyen (Michael) Bui, Thanh Phuc Phan, Jason C. Hsu, Alex PA. Nguyen
7. Asian and/or Pacific Islander: Unmasking health disparity within commonly aggregated diverse populations in the US Department of Veterans Affairs by Benjamin Viernes, Scott L DuVall, Patrick R Alba, Qiwei Gan, Elizabeth E Hanchrow, Mengke Hu, Gregorio Coronado, Andrew M Subica, Curtis Lowery, Scott Hofer, Vicki Shambaugh, Kalani Raphael
8. Comparative Study of Informer, Prophet, and SARIMA Time Series Forecasting Models for Predicting Pneumonia-Related Hospitalizations and Emergency Room Visits in Elderly Patients Using OMOP-CDM by Seonghwan Shin, Junhyuk Chang, Min-Gyu Kim, Byungjin Choi, Rae Woong Park
9. Exploring the interplay between metabolic syndrome and brain volume in depression: Basis for Phenotype-Based Classification by Sujin Gan, Narae Kim, Bumhee Park, Rae Woong Park
10. Applying Machine Learning Techniques to Predict Osteoporosis and Bone Fractures in Chronic Kidney Disease (CKD) Patients on Dialysis by Phat Nguyen Thuan
11. Oncology Incidence and Prevalence Trends 2005-2021 within the TMUCRD using OHDSI-validated OMOP CMD Standards by Whitney Burton, Phan Thanh Phuc, Phung-Anh Nguyen, Jason C. Hsu
12. Evaluating the Conversion of EHR data into OMOP CDM for Type 2 Diabetes Mellitus Cohort: Insights for Data Consistency by Burin Boonwatcharapai, Krittaphas Chaisutyakorn, Natthawut Adulyanukosol
13. Incidence, prevalence and treatment pattern of Parkinson disease from Taipei Medical University: an integration of open-software analytic tools by Phan Thanh-Phuc, Jack Janetzki, Nguyen Phung-Anh, Nicole Pratt, Jason C. Hsu
14. Enhancing Infectious Disease Data Integration and management through OMOP-CDM in South Korea by Min Ho An, Seok Kim, ByungJin Choi, Sooyoung Yoo, Rae Woong Park, Ji Seon Oh
15. Enabling i2b2 on OMOP CDM Cohort Data semi-automatically by using Atlas and SQLMesh by Natpatchara Pongjirapat, Natthawut Adulyanukosol
16. Atlas on Cloud: Utilizing modern cloud infrastructure for hosting OMOP tools by Natpatchara Pongjirapat, Natthawut Adulyanukosol, and Krittaphas Chaisutyakorn
17. The association between comorbid depression in type 2 diabetes to cardiovascular disease: A cohort OHDSI study by Christianus Heru Setiawan, Phan Thanh-Phuc, Septi Melisa, Muhammad Solihuddin Muhtar, Nguyen Phung-Anh, Jason C. Hsu
18. Characterizing Asian and Pacific Islander Veterans and Veterans Living Outside the United States by Scott L DuVall, Patrick R Alba, Qiwei Gan, Elizabeth E Hanchrow, Mengke Hu, Gregorio Coronado, Kalani Raphael, Andy Subica, Curtis Lowery, Scott Hofer, Vicki Shambaugh, Benjamin Viernes
19. Challenges in Conducting Federated Analysis in CyberOncology Project in Japan by Shigemi Matsumoto, Kosuke Tanaka, Liying Pei, Masafumi Okada, Manabu Muto,
20. From dbt to SQLMesh: Enhancing OMOP CDM Data Conversion Efficiency by Nongnaphat Wongpiyachai, Chinapat Onprasert, Sornchai Manosorn, Natthawut Adulyanukosol
21. Applying the OMOP Common Data Model to Facilitate Benefit-Risk Assessments of Medicinal Products Using Real-World Data from Singapore and South Korea by Hui Xing Tan, Desmond Chun Hwee Teo, Dongyun Lee, Chungsoo Kim, Jing Wei Neo, Cynthia Sung, Haroun Chahed, Pei San Ang, Doreen Su Yin Ta5, Rae Woong Park, Sreemanee Raaj Dorajoo
22. Protective Effects of SGLT2 Inhibitors on Cardiovascular-Kidney-Metabolic (CKM) Syndrome Progression in Type 2 Diabetes with Chronic Kidney Disease: A Multi-Center Data Analysis Using OMOP-CDM by Nguyen Phung-Anh, Christianus Heru Setiawan, Ching-Wen Chiu, Phan Thanh-Phuc, Jason C. Hsu
23. Prediction of Hyponatremia in Cancer Patients Using Machine Learning Based on Oncology CDM by Yeji Lee, Hyunwoo Park, Yul Hwangbo, HyoSoung Cha
24. A Unified Data Engineering Platform and OMOP-Centric ETL by Narendra Singh Garbyal, Rahul Garg, Vidya Garbyal, Anjanette Nabiyal
25. Trend analysis in Prevalence of Dementia Medications: a perspective from Taipei Medical University by Septi Melisa, Phan Thanh-Phuc, Nguyen Phung-Anh, Jason C. Hsu
26. Predicting outcome in emergency room patients with Suspected Gastrointestinal Infection using OMOP-CDM by So Hee Lee, Byungjin Choi, Min Ho An, Junhyuk Chang, Harrin Kim, Rae Woong Park
27. A Graphical Interface and Workflow Engine for OHDSI Network Study design and execution by Sivanaga Sai Krishna Santan Maddi, Hengxian Jiang, Peter Hoffmann
28. Explore the opinions and attitudes of the application of common data models in regional databases from the perspective of Chinese people by Yexian Yu, Meng Zhang, Yongqi Zheng, Feng Sun
29. Electronic Frailty index and hazard of with MACE event in patients with Type 2 diabetes mellitus by Da Eun Hyeon, Sujin Gan, Rae Woong Park
30. Evaluation of PLIP model performance using pathology images and notes based on OMOP-CDM by Harrin Kim, Min-Gyu Kim, Junhyuk Chang, Rae Woong Park
31. An Explorative Study about the Latent Space of Clinical Foundation Models Based on a Common Data Model Database by Min-Gyu Kim, Dong Yun Lee, Jinyang Kim, Joon-Kyung Seong, Rae Woong Park
32. Causal Learning with Large-Scale Propensity Scores to Predict Treatment Outcomes: A Study of Arrhythmia in Adolescents with Attention-deficit/hyperactivity disorder by Junhyuk Chang, Dong Yun Lee, Rae Woong Park
33. Pharmacoepidemiologic studies applying common data model: A Systematic Review and Bibliometric Analysis by Yongqi Zheng, Meng Zhang, Conghui Wang, ling Gao, Feng Sun
34. Leveraging Large Language Model for Populating OMOP Oncology CDM from the EHR: Feasibility Study by Subin Kim, Jeong Eun Choi, Chang Jun Ko, Seng Chan You
35. Exploring Stroke and Cognitive Impaired Patients Using Apache Superset on OMOP OHDSI Dataset by Muhammad Solihuddin Muhtar, Phung Anh (Alex) Nguyen, Jason C. Hsu
36. Research status of applying common data model in pharmacoepidemiology: a systematic review by Meng Zhang, Yongqi Zheng, Conghui Wang, Ling Gao, Feng Sun
37. Challenges and recommended solutions of OHDSI implementation in China by Ge Wu, Mengchun Gong