Association of dietary sodium intake with impaired fasting glucose in adult cancer survivors: A population-based cross-sectional study von Kim, Kyuwoong, Kim, Hamee, Jun, Tae Joon, Kim, Young-Hak

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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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Increased risk of ischemic stroke associated with elevated gamma-glutamyl transferase level in adult cancer survivors: a population-based cohort study von Kim, Kyuwoong, Jung, Hyeyun, Di Giovanna, Edvige, Jun, Tae Joon, Kim, Young-Hak

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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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Cardiovascular Outcomes Associated With Isolated Systolic or Diastolic Hypertension According to the 2017 AHA/ACC Guideline in Adult Cancer Survivors von Jung, Hyeyun, Di Giovanna, Edvige, Kim, Young-Hak, Jun, Tae Joon, Kim, Kyuwoong

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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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Predicting Long-term Survival After Allogeneic Hematopoietic Cell Transplantation in Patients With Hematologic Malignancies: Machine Learning-Based Model Development and Validation von Choi, Eun-Ji, Jun, Tae Joon, Park, Han-Seung, Lee, Jung-Hee, Lee, Kyoo-Hyung, Kim, Young-Hak, Lee, Young-Shin, Kang, Young-Ah, Jeon, Mijin, Kang, Hyeran, Woo, Jimin, Lee, Je-Hwan

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Electronic Medical Record-Based Machine Learning Approach to Predict the Risk of 30-Day Adverse Cardiac Events After Invasive Coronary Treatment: Machine Learning Model Development... von Kwon, Osung, Na, Wonjun, Kang, Heejun, Jun, Tae Joon, Kweon, Jihoon, Park, Gyung-Min, Cho, YongHyun, Hur, Cinyoung, Chae, Jungwoo, Kang, Do-Yoon, Lee, Pil Hyung, Ahn, Jung-Min, Park, Duk-Woo, Kang, Soo-Jin, Lee, Seung-Whan, Lee, Cheol Whan, Park, Seong-Wook, Park, Seung-Jung, Yang, Dong Hyun, Kim, Young-Hak

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T-Net: Nested encoder–decoder architecture for the main vessel segmentation in coronary angiography von Jun, Tae Joon, Kweon, Jihoon, Kim, Young-Hak, Kim, Daeyoung

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xECGNet: Fine-tuning attention map within convolutional neural network to improve detection and explainability of concurrent cardiac arrhythmias von Yoo, Jungsun, Jun, Tae Joon, Kim, Young-Hak

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TRk-CNN: Transferable Ranking-CNN for image classification of glaucoma, glaucoma suspect, and normal eyes von Jun, Tae Joon, Eom, Youngsub, Kim, Dohyeun, Kim, Cherry, Park, Ji-Hye, Nguyen, Hoang Minh, Kim, Young-Hak, Kim, Daeyoung

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