Publications

Hyunjun Choi, Nicholas Matsumoto, Xi Li, Debbie Teodorescu, Anxhela Kote, Min-Jing Yang, Xiao Liu, Miguel E. Hernandez, Jason H. Moore, Graciela Gonzalez Hernandez, Peng-Sheng Chen. “Deep Learning-based Classification of Patients with Postural Orthostatic Tachycardia Syndrome using Wearable ECG and Accelerometer Data.” Pacific Symposium on Biocomputing (PSB), 2026. (Accepted for Proceedings).

Hyunjun Choi, Debbie Lin Teodorescu, Trevor Mears, Gizem Bilgili, Xi Li, Jui-Hsuan Chang, Nicholas Matsumoto, Miguel E. Hernandez, Zhiping Paul Wang, Bernice Coleman, Jason H. Moore. “Enhanced QTc Interval Monitoring in the CSICU: Evaluating the Impact of Synthetic Data and Machine Learning Techniques.” Pacific Symposium on Biocomputing (PSB), 2025. Poster presentation.

Matsumoto N., Choi H., Moran J., Hernandez M.E., Venkatesan M., Li X., Chang J.H., Wang P., Moore J.H. “ESCARGOT: An AI Agent Leveraging Large Language Models, Dynamic Graph of Thoughts, and Biomedical Knowledge Graphs for Enhanced Reasoning.” Bioinformatics, 2024.

Walker C., Ghosh A., Freda P., Shahrestani S., Boyke A., Orlenko A., Choi H., Matsumoto N., Obafemi-Ajayi T., Moore J. “Pre-Operative Anemia is an Unsuspecting Driver of Machine Learning Prediction of Adverse Outcomes after Lumbar Spinal Fusion.” Journal of Neurology, 2024.

Matsumoto N., Moran J., Choi H., et al. “KRAGEN: a knowledge Graph-Enhanced RAG framework for biomedical problem solving using large language models.” Bioinformatics. Published online June 3, 2024. doi:10.1093/bioinformatics/btae353.

Bilgili G., Teodorescu D.L., Mears T., Moore J.H., Orlenko A., Hernandez M.E., Choi H., Matsumoto N., Skrebtsova I., Kazerouni S., Nurok M., Coleman B. “Watching for (QT)rouble: Live, Automated vs Spot, Manual QTc Monitoring in Cardiac Surgical Critical Care.” Poster presented at: American College of Cardiology 2024; April 6-8, 2024; Atlanta, GA. Poster Number: 1421-198.

Hyunjun Choi, Nicholas Matsumoto, Jay Moran, Miguel E. Hernandez, and Jason H. Moore. “Aliro: An Automated Machine Learning Tool Leveraging Large Language Models.” Bioinformatics, 2023.

Ribeiro, Pedro, Anil Saini, Jay Moran, Nicholas Matsumoto, Hyunjun Choi, Miguel Hernandez, and Jason H. Moore. “TPOT2: A New Graph-Based Implementation of the Tree-Based Pipeline Optimization Tool for Automated Machine Learning.” In Genetic Programming Theory and Practice XX, pp. 1-17. Springer Nature Singapore, 2024.

Alena Orlenko, Philip J. Freda, Attri Ghosh, Hyunjun Choi, Nick Matsumoto, Tiffani J. Bright, Corey Walker, Tayo Obafemi-Ajayi, and Jason H. Moore. “Cluster Analysis Reveals Socioeconomic Disparities Among Elective Spine Surgery Patients.” Pacific Symposium on Biocomputing, 2024.

Matsumoto Nicholas, Anil Kumar Saini, Pedro Ribeiro, Hyunjun Choi, Alena Orlenko, Leo-Pekka Lyytikäinen, Jari O. Laurikka, Terho Lehtimäki, Sandra Batista, and Jason H. Moore. “Faster Convergence with Lexicase Selection in Tree-Based Automated Machine Learning.” Genetic Programming: 26th European Conference, EuroGP 2023, Held as Part of EvoStar 2023, Brno, Czech Republic, April 12-14, 2023, Proceedings. Springer Nature Switzerland, 2023.

Classification of Synthetic and Real Images Using Pattern Features
Myeong Hui Ha, Hyun jun Choi, Min Kook Choi, Sang Chul Lee. The 26th Workshop on Image Processing and Image Understanding. IPIU 2014.