Medical language model specialized in extracting cardiac knowledge von Gwon, Hansle, Seo, Jiahn, Park, Seohyun, Kim, Young-Hak, Jun, Tae Joon

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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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CardioNet: a manually curated database for artificial intelligence-based research on cardiovascular diseases von Ahn, Imjin, Na, Wonjun, Kwon, Osung, Yang, Dong Hyun, Park, Gyung-Min, Gwon, Hansle, Kang, Hee Jun, Jeong, Yeon Uk, Yoo, Jungsun, Kim, Yunha, 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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Machine Learning-Based Hospital Discharge Prediction for Patients With Cardiovascular Diseases: Development and Usability Study von Ahn, Imjin, Gwon, Hansle, Kang, Heejun, Kim, Yunha, Seo, Hyeram, Choi, Heejung, Cho, Ha Na, Kim, Minkyoung, Jun, Tae Joon, Kim, Young-Hak

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Self-Training With Quantile Errors for Multivariate Missing Data Imputation for Regression Problems in Electronic Medical Records: Algorithm Development Study von Gwon, Hansle, Ahn, Imjin, Kim, Yunha, Kang, Hee Jun, Seo, Hyeram, Cho, Ha Na, Choi, Heejung, Jun, Tae Joon, Kim, Young-Hak

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RIDAB: Electronic medical record-integrated real world data platform for predicting and summarizing interactions in biomedical research from heterogeneous data resources von Kim, Yunha, Ahn, Imjin, Cho, Ha Na, Gwon, Hansle, Kang, Hee Jun, Seo, Hyeram, Choi, Heejung, Kim, Kyu-Pyo, 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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InMD-X: Large Language Models for Internal Medicine Doctors von Gwon, Hansle, Ahn, Imjin, Jung, Hyoje, Kim, Byeolhee, Kim, Young-Hak, Jun, Tae Joon

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NOTE: Notable generation Of patient Text summaries through Efficient approach based on direct preference optimization von Ahn, Imjin, Gwon, Hansle, Kim, Young-Hak, Jun, Tae Joon, Park, Sanghyun

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InMD-X: Large Language Models for Internal Medicine Doctors von Gwon, Hansle, Ahn, Imjin, Jung, Hyoje, Kim, Byeolhee, Young-Hak, Kim, Jun, Tae Joon

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NOTE: Notable generation Of patient Text summaries through Efficient approach based on direct preference optimization von Ahn, Imjin, Gwon, Hansle, Young-Hak, Kim, Jun, Tae Joon, Park, Sanghyun

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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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