Development and transfer learning of self-attention model for major adverse cardiovascular events prediction across hospitals von Kim, Yunha, Kang, Heejun, Seo, Hyeram, Choi, Heejung, Kim, Minkyoung, Han, JiYe, Kee, Gaeun, Park, Seohyun, Ko, Soyoung, Jung, HyoJe, Kim, Byeolhee, Jun, Tae Joon, Roh, Jae-Hyung, Kim, Young-Hak

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Time series forecasting of weight for diuretic dose adjustment using bidirectional long short-term memory von Choi, Heejung, Kim, Yunha, Kang, Heejun, Seo, Hyeram, Kim, Minkyoung, Han, JiYe, Kee, Gaeun, Park, Seohyun, Ko, Soyoung, Jung, HyoJe, Kim, Byeolhee, Roh, Jae-Hyung, Jun, Tae Joon, Kim, Young-Hak

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Heterogeneous graph construction and HinSAGE learning from electronic medical records von Cho, Ha Na, Ahn, Imjin, Gwon, Hansle, Kang, Hee Jun, Kim, Yunha, Seo, Hyeram, Choi, Heejung, Kim, Minkyoung, Han, Jiye, Kee, Gaeun, Jun, Tae Joon, Kim, Young-Hak

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Explainable predictions of a machine learning model to forecast the postoperative length of stay for severe patients: machine learning model development and evaluation von Cho, Ha Na, Ahn, Imjin, Gwon, Hansle, Kang, Hee Jun, Kim, Yunha, Seo, Hyeram, Choi, Heejung, Kim, Minkyoung, Han, Jiye, Kee, Gaeun, Park, Seohyun, Jun, Tae Joon, Kim, Young-Hak

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Machine learning models to predict the warfarin discharge dosage using clinical information of inpatients from South Korea von Choi, Heejung, Kang, Hee Jun, Ahn, Imjin, Gwon, Hansle, Kim, Yunha, Seo, Hyeram, Cho, Ha Na, Han, JiYe, Kim, Minkyoung, Kee, Gaeun, Park, Seohyun, Kwon, Osung, Roh, Jae-Hyung, Kim, Ah-Ram, Kim, Ju Hyeon, Jun, Tae Joon, Kim, Young-Hak

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Task-Specific Transformer-Based Language Models in Health Care: Scoping Review von Cho, Ha Na, Jun, Tae Joon, Kim, Young-Hak, Kang, Heejun, Ahn, Imjin, Gwon, Hansle, Kim, Yunha, Seo, Jiahn, Choi, Heejung, Kim, Minkyoung, Han, Jiye, Kee, Gaeun, Park, Seohyun, Ko, Soyoung

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Are polypharmacy side effects predicted by public data still valid in real-world data? von Kee, Gaeun, Kang, Hee Jun, Ahn, Imjin, Gwon, Hansle, Kim, Yunha, Seo, Hyeram, Choi, Heejung, Cho, Ha Na, Kim, Minkyoung, Han, JiYe, Park, Seohyun, Kim, Kyuwoong, Jun, Tae Joon, Kim, Young-Hak

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Forecasting Hospital Room and Ward Occupancy Using Static and Dynamic Information Concurrently: Retrospective Single-Center Cohort Study von Seo, Hyeram, Ahn, Imjin, Gwon, Hansle, Kang, Heejun, Kim, Yunha, Choi, Heejung, Kim, Minkyoung, Han, Jiye, Kee, Gaeun, Park, Seohyun, Ko, Soyoung, Jung, HyoJe, Kim, Byeolhee, Oh, Jungsik, Jun, Tae Joon, Kim, Young-Hak

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Prediction of hospitalization and waiting time within 24 hours of emergency department patients with unstructured text data von Seo, Hyeram, Ahn, Imjin, Gwon, Hansle, Kang, Hee Jun, Kim, Yunha, Cho, Ha Na, Choi, Heejung, Kim, Minkyoung, Han, Jiye, Kee, Gaeun, Park, Seohyun, Seo, Dong-Woo, Jun, Tae Joon, Kim, Young-Hak

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Correction to: Prediction of hospitalization and waiting time within 24 h of emergency department patients with unstructured text data von Seo, Hyeram, Ahn, Imjin, Gwon, Hansle, Kang, Hee Jun, Kim, Yunha, Cho, Ha Na, Choi, Heejung, Kim, Minkyoung, Han, Jiye, Kee, Gaeun, Park, Seohyun, Seo, Dong-Woo, Jun, Tae Joon, Kim, Young-Hak

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LDP-GAN : Generative adversarial networks with local differential privacy for patient medical records synthesis von Gwon, Hansle, Ahn, Imjin, Kim, Yunha, Kang, Hee Jun, Seo, Hyeram, Choi, Heejung, Cho, Ha Na, Kim, Minkyoung, Han, JiYe, Kee, Gaeun, Park, Seohyun, Lee, Kye Hwa, Jun, Tae Joon, Kim, Young-Hak

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Enhancing Clinical Efficiency through LLM: Discharge Note Generation for Cardiac Patients von Jung, HyoJe, Kim, Yunha, Choi, Heejung, Seo, Hyeram, Kim, Minkyoung, Han, JiYe, Kee, Gaeun, Park, Seohyun, Ko, Soyoung, Kim, Byeolhee, Kim, Suyeon, Jun, Tae Joon, Kim, Young-Hak

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Enhancing Clinical Efficiency through LLM: Discharge Note Generation for Cardiac Patients von Jung, HyoJe, Kim, Yunha, Choi, Heejung, Seo, Hyeram, Kim, Minkyoung, Han, JiYe, Kee, Gaeun, Park, Seohyun, Ko, Soyoung, Kim, Byeolhee, Kim, Suyeon, Jun, Tae Joon, Young-Hak, Kim

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METHOD FOR OPERATING MEDICAL ARTIFICIAL INTELLIGENCE MODEL, AND ELECTRONIC DEVICE FOR PERFORMING SAME von KANG, Heejun, KEE, Gaeun, KIM, Minkyoung, GWON, Hansle, HAN, Jiye, KIM, Yunha, JUN, Tae Joon, SEO, Hyeram, CHO, Hana, KIM, Young-Hak, CHOI, Heejung, AHN, Imjin, PARK, Seohyun

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SYNTHETIC PATIENT DATA GENERATION METHOD AND DEVICE UTILIZING LOCAL DIFFERENTIAL PRIVACY-BASED GENERATIVE ADVERSARIAL NETWORK von KANG, Heejun, KEE, Gaeun, KIM, Minkyoung, GWON, Hansle, HAN, Jiye, KIM, Yunha, JUN, Tae Joon, SEO, Hyeram, CHO, Hana, KIM, Young-Hak, CHOI, Heejung, AHN, Imjin, PARK, Seohyun

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METHOD AND APPARATUS FOR SELECTING FEATURE OF INPUT DATA OF SEQUENCE MODEL BY USING TREE-BASED ENSEMBLE MODEL von KANG, Heejun, KEE, Gaeun, KIM, Minkyoung, GWON, Hansle, HAN, Jiye, KIM, Yunha, JUN, Tae Joon, SEO, Hyeram, CHO, Hana, KIM, Young-Hak, CHOI, Heejung, AHN, Imjin, PARK, Seohyun

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METHOD AND DEVICE FOR PREDICTING INITIAL APPROPRIATE DOSE OF ANTICOAGULANT USING MACHINE LEARNING TECHNOLOGY von KANG, Heejun, KEE, Gaeun, KIM, Minkyoung, GWON, Hansle, HAN, Jiye, KIM, Yunha, JUN, Tae Joon, ROH, Jae-Hyung, SEO, Hyeram, CHO, Hana, KIM, Young-Hak, CHOI, Heejung, AHN, Imjin, PARK, Seohyun

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Prevalence of gaming disorder: A meta-analysis von Kim, Hee Sun, Son, Gaeun, Roh, Eun-Bin, Ahn, Woo-Young, Kim, Jueun, Shin, Suk-Ho, Chey, Jeanyung, Choi, Kee-Hong

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Development and validation of the core life activities scale von Cho, Surin, Park, Kiho, Jung, Dawoon, Son, Gaeun, Cho, Eunsil, Choi, Kee-Hong

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Predicting Personality and Psychological Distress Using Natural Language Processing: A Study Protocol von Jang, Jihee, Yoon, Seowon, Son, Gaeun, Kang, Minjung, Choeh, Joon Yeon, Choi, Kee-Hong

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