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2020 – today
- 2023
[j3]Ji Hoon Kim
, Bomgyeol Kim, Min Joung Kim, Heejung Hyun, Hyeon Chang Kim, Hyuk-Jae Chang:
Prediction of inappropriate pre-hospital transfer of patients with suspected cardiovascular emergency diseases using machine learning: a retrospective observational study. BMC Medical Informatics Decis. Mak. 23(1): 56 (2023)- [c2]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. MLHC 2023: 423-442 - [c1]Kwanhyung Lee, John Won, Heejung Hyun, Sangchul Hahn, Edward Choi, Joohyung Lee:
Self-supervised Predictive Coding with Multimodal Fusion for Patient Deterioration Prediction in Fine-Grained Time Resolution. TML4H 2023: 41-50 - [i2]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) - 2022
- [j2]Arom Choi, Kyungsoo Chung, Sung Phil Chung, Kwanhyung Lee, Heejung Hyun, Ji Hoon Kim:
Advantage of Vital Sign Monitoring Using a Wireless Wearable Device for Predicting Septic Shock in Febrile Patients in the Emergency Department: A Machine Learning-Based Analysis. Sensors 22(18): 7054 (2022) - [i1]Kwanhyung Lee, John Won, Heejung Hyun, Sangchul Hahn, Edward Choi, Joohyung Lee:
Self-supervised predictive coding and multimodal fusion advance patient deterioration prediction in fine-grained time resolution. CoRR abs/2210.16598 (2022) - 2020
- [j1]Hyun-Jin Bae, Heejung Hyun, Younghwa Byeon, Keewon Shin, Yongwon Cho, Young Ji Song, Seong Yi, Sung-Uk Kuh, Jin S. Yeom, Namkug Kim:
Fully automated 3D segmentation and separation of multiple cervical vertebrae in CT images using a 2D convolutional neural network. Comput. Methods Programs Biomed. 184: 105119 (2020)
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