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Analyzing the role of model uncertainty for electronic health records. MW Dusenberry, D Tran, E Choi, J Kemp, J Nixon, G Jerfel, K Heller, ... Proceedings of the ACM Conference on Health, Inference, and Learning, 204-213. , 2020.
Edward CHOI, Assistant Professor | Cited by 6,281 | of Korea Advanced Institute of Science and Technology, Daejeon (KAIST) | Read 93 publications | Contact Edward CHOI
Edward Choi, Nan Du, Robert Chen, Le Song, Jimeng Sun, 2015, Constructing Disease Network and Temporal Progression Model via Context-Sensitive Hawkes Process, In Proc. of International Conference of Data Mining (ICDM) 2015, pp.721-726, Full version (A kinder random process intro, scalability experiments)
Edward's Personal Web Page. Welcome to my humble abode! Who am I? Name. Edward Yoonjae Choi. Eye Color. Obvious. Current Position. Associate Professor at Kim Jaechul Graduate School of AI, KAIST. Research Area. Machine Learning for Healthcare, Natural Language Processing, Multimodal Learning. Also.
Current Position. KAIST, Republic of Korea, March 2020 - Present Assistant Professor, Graduate School of AI. Current Research Topic. Representation learning on Electronic Health Records (EHR) data using deep learning algorithms.
Edward Choi. Yonsei University. ... A Gueye, E Choi, C Guzmán-Valenzuela, G Gregorutti. International Journal of African Higher Education 9 (3), 63-82, 2022. 4: 2022:
Kwanhyung Lee, Soojeong Lee, Sangchul Hahn, Heejung Hyun, Edward Choi, Byungeun Ahn, Joohyung Lee: Learning Missing Modal Electronic Health Records with Unified Multi-modal Data Embedding and Modality-Aware Attention. CoRR abs/2305.02504 (2023)
