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Tae Joon Jun

Showing results (21-30 of 46) with videos related to

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JMIR Medical Informatics|November 17, 2021
Machine Learning-Based Hospital Discharge Prediction for Patients With Cardiovascular Diseases: Development and Usability StudyImjin Ahn, Hansle Gwon, Heejun Kang, et al.
Computer Methods and Programs in Biomedicine|May 20, 2022
RIDAB: Electronic medical record-integrated real world data platform for predicting and summarizing interactions in biomedical research from heterogeneous data resourcesYunha Kim, Imjin Ahn, Ha Na Cho, et al.
JAMA Network Open|January 16, 2026
Invisible Text Injection and Peer Review by AI ModelsByungjin Choi, Tae Joon Jun, Joung Won Sung, et al.
International Journal of Surgery (London, England)|September 17, 2025
Multimodal deep learning integration for predicting renal function outcomes in living donor kidney transplantation: a retrospective cohort studyJin-Myung Kim, HyoJe Jung, Hye Eun Kwon, et al.
International Journal of Surgery (London, England)|August 8, 2024
Predicting prognostic factors in kidney transplantation using a machine learning approach to enhance outcome predictions: a retrospective cohort studyJin-Myung Kim, HyoJe Jung, Hye Eun Kwon, et al.
Scientific Reports|January 17, 2026
Machine learning-based prediction of progression from idiopathic cytopenia of undetermined significance to myeloid malignanciesHyunkyung Park, Ji-Ye Han, Han-Seung Park, et al.
Scientific Reports|December 8, 2022
Heterogeneous graph construction and HinSAGE learning from electronic medical recordsHa Na Cho, Imjin Ahn, Hansle Gwon, et al.
Scientific Reports|February 13, 2025
Predicting low density lipoprotein cholesterol target attainment using machine learning in patients with coronary artery disease receiving moderate-dose statin therapyJiye Han, Yunha Kim, Hee Jun Kang, et al.
BMC Medical Informatics and Decision Making|August 12, 2025
Leveraging BERT for embedding ICD codes from large scale cardiovascular EMR data to understand patient diagnostic patternsMinkyoung Kim, Yunha Kim, Hee Jun Kang, et al.
BMC Medical Informatics and Decision Making|January 29, 2021
CardioNet: a manually curated database for artificial intelligence-based research on cardiovascular diseasesImjin Ahn, Wonjun Na, Osung Kwon, et al.
Pageof 5

Showing results (21-30 of 46) with videos related to

Sort By:
Pageof 5
JMIR Medical Informatics|November 17, 2021
Machine Learning-Based Hospital Discharge Prediction for Patients With Cardiovascular Diseases: Development and Usability StudyImjin Ahn, Hansle Gwon, Heejun Kang, et al.
Computer Methods and Programs in Biomedicine|May 20, 2022
RIDAB: Electronic medical record-integrated real world data platform for predicting and summarizing interactions in biomedical research from heterogeneous data resourcesYunha Kim, Imjin Ahn, Ha Na Cho, et al.
JAMA Network Open|January 16, 2026
Invisible Text Injection and Peer Review by AI ModelsByungjin Choi, Tae Joon Jun, Joung Won Sung, et al.
International Journal of Surgery (London, England)|September 17, 2025
Multimodal deep learning integration for predicting renal function outcomes in living donor kidney transplantation: a retrospective cohort studyJin-Myung Kim, HyoJe Jung, Hye Eun Kwon, et al.
International Journal of Surgery (London, England)|August 8, 2024
Predicting prognostic factors in kidney transplantation using a machine learning approach to enhance outcome predictions: a retrospective cohort studyJin-Myung Kim, HyoJe Jung, Hye Eun Kwon, et al.
Scientific Reports|January 17, 2026
Machine learning-based prediction of progression from idiopathic cytopenia of undetermined significance to myeloid malignanciesHyunkyung Park, Ji-Ye Han, Han-Seung Park, et al.
Scientific Reports|December 8, 2022
Heterogeneous graph construction and HinSAGE learning from electronic medical recordsHa Na Cho, Imjin Ahn, Hansle Gwon, et al.
Scientific Reports|February 13, 2025
Predicting low density lipoprotein cholesterol target attainment using machine learning in patients with coronary artery disease receiving moderate-dose statin therapyJiye Han, Yunha Kim, Hee Jun Kang, et al.
BMC Medical Informatics and Decision Making|August 12, 2025
Leveraging BERT for embedding ICD codes from large scale cardiovascular EMR data to understand patient diagnostic patternsMinkyoung Kim, Yunha Kim, Hee Jun Kang, et al.
BMC Medical Informatics and Decision Making|January 29, 2021
CardioNet: a manually curated database for artificial intelligence-based research on cardiovascular diseasesImjin Ahn, Wonjun Na, Osung Kwon, et al.
Pageof 5