Taehoon Ko
Orcid: 0000-0002-4045-0036
According to our database1,
Taehoon Ko
authored at least 13 papers
between 2015 and 2024.
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Bibliography
2024
Comparison of AI with and without hand-crafted features to classify Alzheimer's disease in different languages.
Comput. Biol. Medicine, 2024
Machine Learning-Based Predictive Models for Early Detection of Cardiovascular Diseases: A Study Utilizing Patient Samples from a Tertiary Health Promotion Center in Korea.
Proceedings of the Digital Health and Informatics Innovations for Sustainable Health Care Systems, 2024
Fill in the Blank, MIMIC the Procedure: Tracking Patient Record for Medical Data Reconstruction.
Proceedings of the Digital Health and Informatics Innovations for Sustainable Health Care Systems, 2024
Automation of Trainable Datasets Generation for Medical-Specific Language Model: Using MIMIC-IV Discharge Notes.
Proceedings of the Digital Health and Informatics Innovations for Sustainable Health Care Systems, 2024
Proceedings of the Digital Health and Informatics Innovations for Sustainable Health Care Systems, 2024
Proceedings of the Digital Health and Informatics Innovations for Sustainable Health Care Systems, 2024
2022
Asbestosis diagnosis algorithm combining the lung segmentation method and deep learning model in computed tomography image.
Int. J. Medical Informatics, 2022
Development of Blockchain-Based Health Information Exchange Platform Using HL7 FHIR Standards: Usability Test.
IEEE Access, 2022
2019
Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019
Introduction of a Program to Improve the Information Sharing System of Food Allergy Patients.
Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019
Association of DeepLearning-Based Fundus Age Difference with Carotid Atherosclerosis and Mortality.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019
2017
Machine learning-based anomaly detection via integration of manufacturing, inspection and after-sales service data.
Ind. Manag. Data Syst., 2017
2015
An efficient and effective ensemble of support vector machines for anti-diabetic drug failure prediction.
Expert Syst. Appl., 2015