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Plos One
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February 27, 2026
Annotation-free prediction of immunotherapy response in melanoma using single-cell transcriptomic data
Da Eun Oh, Gaeun Kee, Ji-Hye Oh, et al.
Scientific Reports
|
December 8, 2022
Heterogeneous graph construction and HinSAGE learning from electronic medical records
Ha 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 therapy
Jiye 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 patterns
Minkyoung Kim, Yunha Kim, Hee Jun Kang, et al.
BMC Medical Informatics and Decision Making
|
November 20, 2024
Explainable predictions of a machine learning model to forecast the postoperative length of stay for severe patients: machine learning model development and evaluation
Ha Na Cho, Imjin Ahn, Hansle Gwon, et al.
JMIR Medical Informatics
|
November 18, 2024
Task-Specific Transformer-Based Language Models in Health Care: Scoping Review
Ha Na Cho, Tae Joon Jun, Young-Hak Kim, et al.
Scientific Reports
|
July 31, 2024
Time series forecasting of weight for diuretic dose adjustment using bidirectional long short-term memory
Heejung Choi, Yunha Kim, Heejun Kang, et al.
Scientific Reports
|
October 8, 2024
Development and transfer learning of self-attention model for major adverse cardiovascular events prediction across hospitals
Yunha Kim, Heejun Kang, Hyeram Seo, et al.
Journal of Healthcare Informatics Research
|
November 13, 2025
Clinical Assessment of Fine-Tuned Open-Source LLMs in Cardiology: From Progress Notes to Discharge Summary
HyoJe Jung, Yunha Kim, Jiahn Seo, et al.
Heliyon
|
February 2, 2024
Are polypharmacy side effects predicted by public data still valid in real-world data?
Gaeun Kee, Hee Jun Kang, Imjin Ahn, et al.
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of 2
Search research articles
Search
Showing results (1-10 of 14) with videos related to
Sort By:
Page
of 2
Plos One
|
February 27, 2026
Annotation-free prediction of immunotherapy response in melanoma using single-cell transcriptomic data
Da Eun Oh, Gaeun Kee, Ji-Hye Oh, et al.
Scientific Reports
|
December 8, 2022
Heterogeneous graph construction and HinSAGE learning from electronic medical records
Ha 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 therapy
Jiye 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 patterns
Minkyoung Kim, Yunha Kim, Hee Jun Kang, et al.
BMC Medical Informatics and Decision Making
|
November 20, 2024
Explainable predictions of a machine learning model to forecast the postoperative length of stay for severe patients: machine learning model development and evaluation
Ha Na Cho, Imjin Ahn, Hansle Gwon, et al.
JMIR Medical Informatics
|
November 18, 2024
Task-Specific Transformer-Based Language Models in Health Care: Scoping Review
Ha Na Cho, Tae Joon Jun, Young-Hak Kim, et al.
Scientific Reports
|
July 31, 2024
Time series forecasting of weight for diuretic dose adjustment using bidirectional long short-term memory
Heejung Choi, Yunha Kim, Heejun Kang, et al.
Scientific Reports
|
October 8, 2024
Development and transfer learning of self-attention model for major adverse cardiovascular events prediction across hospitals
Yunha Kim, Heejun Kang, Hyeram Seo, et al.
Journal of Healthcare Informatics Research
|
November 13, 2025
Clinical Assessment of Fine-Tuned Open-Source LLMs in Cardiology: From Progress Notes to Discharge Summary
HyoJe Jung, Yunha Kim, Jiahn Seo, et al.
Heliyon
|
February 2, 2024
Are polypharmacy side effects predicted by public data still valid in real-world data?
Gaeun Kee, Hee Jun Kang, Imjin Ahn, et al.
Page
of 2