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Taehoon Ko
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2020 – today
- 2024
- [j5]Tong Min Kim
, Junhyeok Son
Comparison of AI with and without hand-crafted features to classify Alzheimer's disease in different languages. Comput. Biol. Medicine 180: 108950 (2024) - [c8]Tong Min Kim
Assessing the Proficiency of LLMs with Various Tasks and Evaluators. MIE 2024: 552-553 - [c7]Sujung Lee
Well-Tempered Medical Prompt Engineering for Explainable Extubation. MIE 2024: 587-588 - [c6]Youngrong Lee
Automation of Trainable Datasets Generation for Medical-Specific Language Model: Using MIMIC-IV Discharge Notes. MIE 2024: 650-651 - [c5]Seol Whan Oh
Machine Learning-Based Predictive Models for Early Detection of Cardiovascular Diseases: A Study Utilizing Patient Samples from a Tertiary Health Promotion Center in Korea. MIE 2024: 710-711 - [c4]Sujung Lee
Fill in the Blank, MIMIC the Procedure: Tracking Patient Record for Medical Data Reconstruction. MIE 2024: 1594-1595 - 2022
- [j4]Ye Seul Bae
Development of Blockchain-Based Health Information Exchange Platform Using HL7 FHIR Standards: Usability Test. IEEE Access 10: 79264-79271 (2022) - [j3]Hyung Min Kim, Taehoon Ko, In Young Choi, Jun-Pyo Myong:
Asbestosis diagnosis algorithm combining the lung segmentation method and deep learning model in computed tomography image. Int. J. Medical Informatics 158(February): 104667 (2022)
2010 – 2019
- 2019
- [c3]Jooyoung Chang
Association of DeepLearning-Based Fundus Age Difference with Carotid Atherosclerosis and Mortality. BIBM 2019: 1179-1181 - [c2]Ji Su Ha, Su Hyun Kim, Sang Hee Lim, Taehoon Ko, Sae Won Choi, Hae Young Lee, Kyung Hwan Kim:
Introduction of a Program to Improve the Information Sharing System of Food Allergy Patients. MedInfo 2019: 1674-1675 - [c1]Hye Sook Lee, Da Na Jeong, Su In Lee, Shin Hae Lee, Kyung Hwan Kim, Hae Young Lee, Hyun Jai Cho, Sae Won Choi, Taehoon Ko
Result and Effectiveness of Malicious E-mail Response Training in a Hospital. MedInfo 2019: 1957 - 2017
- [j2]Taehoon Ko
Machine learning-based anomaly detection via integration of manufacturing, inspection and after-sales service data. Ind. Manag. Data Syst. 117(5): 927-945 (2017) - 2015
- [j1]Seokho Kang, Pilsung Kang, Taehoon Ko
An efficient and effective ensemble of support vector machines for anti-diabetic drug failure prediction. Expert Syst. Appl. 42(9): 4265-4273 (2015)
Coauthor Index
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last updated on 2024-12-10 20:46 CET by the dblp team
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