APAC 2024 – OHDSI (original) (raw)

2024 OHDSI APAC Symposium

December 4-8 • Marina Bay Sands & National University of Singapore (NUS)

Day 2-3: Main conference

Day 2 Slides
Day 1 Opening (Mengling ‘Mornin’ Feng)
OHDSI for Real-World Evidence (RWE) (Patrick Ryan)
Charting our APAC Journey: Lessons from the Past, Visions for the Future (Mui Van Zandt)
OHDSI APAC Regional Chapter Updates (Korea – Rae Woong Park, China – Changran Wang and Mengchun Gong, Australia – Nicole Pratt, Japan – Tatsuo Hiramatsu, Taiwan – Jason Hsu, Singapore – Mengling ‘Mornin’ Feng, India – Swetha Kiranmayi Jakkuva)
2024 APAC ETL Project (Mui Van Zandt, Gyeol Song, Steven Yong, Satish Kumar Anbazhagan, Kosuke Tanaka, Santan Maddi)
OHDSI Evidence Network (Erica Voss)
Large Language Model and OHDSI: Part 1 (Hua Xu)
Large Language Model and OHDSI: Part 2 (Hyeonsik Kim)
HL7 Singapore and OHDSI Singapore Collaboration (Adam Chee, Mengling ‘Mornin’ Feng)

Day 4-5 (December 7-8) – Datathon at NUS

Participants of the datathon were split into teams to conduct studies using datasets contributed by data partners and present their results

2024 OHDSI APAC Collaborator Showcase

Posters

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
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
Mapping Thai Medicine Terminology to RxNorm: Lessons Learned in Standard Vocabulary Integration by Krittaphas Chaisutyakorn, Peamboon Thomchotpong, Natpatchara Pongjirapat, Jirapat Aiamsopon, Natthawut Adulyanukosol
Enabling Genomic Data Harmonization in OMOP CDM by Erwin Tantoso, Ngiam Kee Yuan, Mukkesh Kumar
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
Python Framework for Patient-Level Prediction Models by Minh Nguyen (Michael) Bui, Thanh Phuc Phan, Jason C. Hsu, Alex PA. Nguyen
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
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
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
Applying Machine Learning Techniques to Predict Osteoporosis and Bone Fractures in Chronic Kidney Disease (CKD) Patients on Dialysis by Phat Nguyen Thuan
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
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
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
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
Enabling i2b2 on OMOP CDM Cohort Data semi-automatically by using Atlas and SQLMesh by Natpatchara Pongjirapat, Natthawut Adulyanukosol
Atlas on Cloud: Utilizing modern cloud infrastructure for hosting OMOP tools by Natpatchara Pongjirapat, Natthawut Adulyanukosol, and Krittaphas Chaisutyakorn
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
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
Challenges in Conducting Federated Analysis in CyberOncology Project in Japan by Shigemi Matsumoto, Kosuke Tanaka, Liying Pei, Masafumi Okada, Manabu Muto,
From dbt to SQLMesh: Enhancing OMOP CDM Data Conversion Efficiency by Nongnaphat Wongpiyachai, Chinapat Onprasert, Sornchai Manosorn, Natthawut Adulyanukosol
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
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
Prediction of Hyponatremia in Cancer Patients Using Machine Learning Based on Oncology CDM by Yeji Lee, Hyunwoo Park, Yul Hwangbo, HyoSoung Cha
A Unified Data Engineering Platform and OMOP-Centric ETL by Narendra Singh Garbyal, Rahul Garg, Vidya Garbyal, Anjanette Nabiyal
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
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
A Graphical Interface and Workflow Engine for OHDSI Network Study design and execution by Sivanaga Sai Krishna Santan Maddi, Hengxian Jiang, Peter Hoffmann
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
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
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
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
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
Pharmacoepidemiologic studies applying common data model: A Systematic Review and Bibliometric Analysis by Yongqi Zheng, Meng Zhang, Conghui Wang, ling Gao, Feng Sun
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
Exploring Stroke and Cognitive Impaired Patients Using Apache Superset on OMOP OHDSI Dataset by Muhammad Solihuddin Muhtar, Phung Anh (Alex) Nguyen, Jason C. Hsu
Research status of applying common data model in pharmacoepidemiology: a systematic review by Meng Zhang, Yongqi Zheng, Conghui Wang, Ling Gao, Feng Sun
Challenges and recommended solutions of OHDSI implementation in China by Ge Wu, Mengchun Gong