A novel deep learning algorithm for real-time prediction of clinical deterioration in the emergency department for a multimodal clinical decision support system von Choi, Arom, Lee, Kwanhyung, Hyun, Heejung, Kim, Kwang Joon, Ahn, Byungeun, Lee, Kyung Hyun, Hahn, Sangchul, Choi, So Yeon, Kim, Ji Hoon

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Event Prediction Model Considering Time and Input Error Using Electronic Medical Records in the Intensive Care Unit: Retrospective Study von Sung, MinDong, Hahn, Sangchul, Han, Chang Hoon, Lee, Jung Mo, Lee, Jayoung, Yoo, Jinkyu, Heo, Jay, Kim, Young Sam, Chung, Kyung Soo

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Understanding dropout as an optimization trick von Hahn, Sangchul, Choi, Heeyoul

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Disentangling Latent Factors of Variational Auto-encoder with Whitening von Hahn, Sangchul, Choi, Heeyoul

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Self-supervised Predictive Coding with Multimodal Fusion for Patient Deterioration Prediction in Fine-Grained Time Resolution von Lee, Kwanhyung, Won, John, Hyun, Heejung, Hahn, Sangchul, Choi, Edward, Lee, Joohyung

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Self-Knowledge Distillation in Natural Language Processing von Hahn, Sangchul, Choi, Heeyoul

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Compact and De-biased Negative Instance Embedding for Multi-Instance Learning on Whole-Slide Image Classification von Lee, Joohyung, Nam, Heejeong, Lee, Kwanhyung, Hahn, Sangchul

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Disentangling Latent Factors of Variational Auto-Encoder with Whitening von Hahn, Sangchul, Choi, Heeyoul

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Understanding Dropout as an Optimization Trick von Hahn, Sangchul, Choi, Heeyoul

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Learning Missing Modal Electronic Health Records with Unified Multi-modal Data Embedding and Modality-Aware Attention von Lee, Kwanhyung, Lee, Soojeong, Hahn, Sangchul, Hyun, Heejung, Choi, Edward, Ahn, Byungeun, Lee, Joohyung

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Self-Supervised Predictive Coding with Multimodal Fusion for Patient Deterioration Prediction in Fine-grained Time Resolution von Lee, Kwanhyung, Won, John, Hyun, Heejung, Hahn, Sangchul, Choi, Edward, Lee, Joohyung

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Understanding Dropout as an Optimization Trick von Hahn, Sangchul, Choi, Heeyoul

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Self-Knowledge Distillation in Natural Language Processing von Hahn, Sangchul, Choi, Heeyoul

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Disentangling Latent Factors of Variational Auto-Encoder with Whitening von Hahn, Sangchul, Choi, Heeyoul

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Compact and De-biased Negative Instance Embedding for Multi-Instance Learning on Whole-Slide Image Classification von Lee, Joohyung, Nam, Heejeong, Lee, Kwanhyung, Hahn, Sangchul

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Learning Missing Modal Electronic Health Records with Unified Multi-modal Data Embedding and Modality-Aware Attention von Lee, Kwanhyung, Lee, Soojeong, Hahn, Sangchul, Hyun, Heejung, Choi, Edward, Ahn, Byungeun, Lee, Joohyung

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Self-Supervised Predictive Coding with Multimodal Fusion for Patient Deterioration Prediction in Fine-grained Time Resolution von Lee, Kwanhyung, Won, John, Hyun, Heejung, Hahn, Sangchul, Choi, Edward, Lee, Joohyung

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APPARATUS AND METHOD FOR ANALYZING ELECTRONIC HEALTH RECORD DATA von HAHN SANGCHUL, MUN YECHAN, LEE KI BYUNG, AHN BYUNG EUN, KIM KWANG JOON, CHUNG KYUNG SOO

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Isolation and Cloning of an ABC Transporter-Like Gene of Haemophilus parasuis and Its Use in a New Diagnostic PCR von Kim, Hyunil, Cho, Youngjae, Shin, Seongho, Kang, Sangchul, Kwon, O-Bong, Hahn, Tae-Wook

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Isolation and Cloning of an ABC Transporter-Like Gene of Haemophilus parasuis and Its Use in a New Diagnostic PCR von Hyunil Kim, Youngjae Cho, Seongho Shin, Sangchul Kang, O-Bong Kwon, Tae-Wook Hahn

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