Publications by authors named "Taehoon Ko"

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A prompt framework for enhancing LLM-based explainability of medical machine learning models: an intensive care unit application.
Sujung Lee, Won Ik Cho, Youngrong Lee, Duck Ju Kim, Kyeng Hyun Nam, Taehoon Ko

BMC Med Inform Decis Mak· November 2025

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Development of a Machine Learning-Based Model for Methimazole Dosage Adjustment in Youth with Hyperthyroidism.
Joon Young Kim, Kanghyuck Lee, Eunsik Choi, Jun Suk Oh, Eun Byoul Lee, Taehoon Ko

J Clin Endocrinol Metab· October 2025

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Optimizing Nursing Data for Al and CDSS: SNOMED CT Mapping Using K-MIMIC.
Youngeun Kim, Mijeong Park, Sang-Min Lee, Ho Geol Ryu, Hyung-Chul Lee, Taehoon Ko

Stud Health Technol Inform· August 2025

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Constructing a High-Quality English and Korean Medical Corpus for Medical Large Language Model.
Chansik Kim, Tong Min Kim, Youngron Lee, DongGyu Kim, Taehoon Ko

Stud Health Technol Inform· August 2025

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Development and Validation of a Machine Learning-Based Model for Methimazole Dosage Adjustment in Children and Adolescents with Hyperthyroidism.
Kanghyuck Lee, Joon Young Kim, Taehoon Ko, Kyungchul Song

Stud Health Technol Inform· August 2025

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Draw-Induced Structural Optimization of PAN-Based Carbon Fibers During High-Temperature Carbonization.
Seungmin Yu, Hyun-Jae Cho, Tae-Hoon Ko, Hak-Yong Kim, Yong-Sik Chung

Nanomaterials (Basel)· August 2025

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Development and validation of a machine learning model for predicting pediatric metabolic syndrome using anthropometric and bioelectrical impedance parameters.
Youngha Choi, Kanghyuck Lee, Eun Gyung Seol, Joon Young Kim, Eun Byoul Lee, Taehoon Ko

Int J Obes (Lond)· June 2025

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Explainability Enhanced Machine Learning Model for Classifying Intellectual Disability and Attention-Deficit/Hyperactivity Disorder With Psychological Test Reports.
Tong Min Kim, Young-Hoon Kim, Sung-Hee Song, In-Young Choi, Dai-Jin Kim, Taehoon Ko

J Korean Med Sci· March 2025

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Height estimation in children and adolescents using body composition big data: Machine-learning and explainable artificial intelligence approach.
Dohyun Chun, Taesung Chung, Jongho Kang, Taehoon Ko, Young-Jun Rhie

Digit Health· March 2025

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Review of the 2024 Fall Conference of the Korean Society of Medical Informatics-AI's Role in Shaping Modern Healthcare.
Jisan Lee, Taehoon Ko, Kwangmo Yang, Younghee Lee

Healthc Inform Res· January 2025

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Development and Validation of a Prediction Model Using Sella Magnetic Resonance Imaging-Based Radiomics and Clinical Parameters for the Diagnosis of Growth Hormone Deficiency and Idiopathic Short Stature: Cross-Sectional, Multicenter Study.
Kyungchul Song, Taehoon Ko, Hyun Wook Chae, Jun Suk Oh, Ho-Seong Kim

J Med Internet Res· November 2024

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Self-sovereign management scheme of personal health record with personal data store and decentralized identifier.
Tong Min Kim, Taehoon Ko, Byoung Woo Hwang, Hyung Goo Paek, Wan Yeon Lee

Comput Struct Biotechnol J· November 2024

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Thermal imaging and deep learning-based fit-checking for respiratory protection.
Hyunjin Kim, Tong Min Kim, Sae Won Choi, Taehoon Ko

Sci Rep· October 2024

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Comparison of AI with and without hand-crafted features to classify Alzheimer's disease in different languages.
Tong Min Kim, Junhyeok Son, Ji-Won Chun, Youngrong Lee, Dai-Jin Kim, Taehoon Ko

Comput Biol Med· September 2024

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Fill in the Blank, MIMIC the Procedure: Tracking Patient Record for Medical Data Reconstruction.
Sujung Lee, Daechul Seo, Taehoon Ko

Stud Health Technol Inform· August 2024

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Assessing the Proficiency of LLMs with Various Tasks and Evaluators.
Tong Min Kim, Youngrong Lee, Chansik Kim, Taehoon Ko

Stud Health Technol Inform· August 2024

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Well-Tempered Medical Prompt Engineering for Explainable Extubation.
Sujung Lee, Won Ik Cho, Chansung Park, Taehoon Ko

Stud Health Technol Inform· August 2024

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Automation of Trainable Datasets Generation for Medical-Specific Language Model: Using MIMIC-IV Discharge Notes.
Youngrong Lee, Chansik Kim, Taehoon Ko

Stud Health Technol Inform· August 2024

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Machine Learning-Based Predictive Models for Early Detection of Cardiovascular Diseases: A Study Utilizing Patient Samples from a Tertiary Health Promotion Center in Korea.
Kanghyuck Lee, Seol Whan Oh, Sung-Hwan Kim, Taehoon Ko, In Young Choi

Stud Health Technol Inform· August 2024

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Review of the 2024 Spring Conference of the Korean Society of Medical Informatics - Omnibus Omnia.
Jisan Lee, Suehyun Lee, Seo Yeon Baik, Taehoon Ko, Kwangmo Yang

Healthc Inform Res· July 2024

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Prediction of Cardiovascular Complication in Patients with Newly Diagnosed Type 2 Diabetes Using an XGBoost/GRU-ODE-Bayes-Based Machine-Learning Algorithm.
Joonyub Lee, Yera Choi, Taehoon Ko, Kanghyuck Lee, Juyoung Shin

Endocrinol Metab (Seoul)· February 2024

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Improved prediction of clinical pregnancy using artificial intelligence with enhanced inner cell mass and trophectoderm images.
Hyung Min Kim, Taehoon Ko, Hyoeun Kang, Sungwook Choi, Jong Hyuk Park

Sci Rep· February 2024

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Beyond Data: Actionable AI - Review of the 2023 Fall Conference of the Korean Society of Medical Informatics.
Younghee Lee, Taehoon Ko, Kwangmo Yang

Healthc Inform Res· January 2024

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Development and Validation of a Convolutional Neural Network Model to Predict a Pathologic Fracture in the Proximal Femur Using Abdomen and Pelvis CT Images of Patients With Advanced Cancer.
Min Wook Joo, Taehoon Ko, Min Seob Kim, Yong-Suk Lee, Seung Han Shin

Clin Orthop Relat Res· November 2023

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Review of the Spring Conference of the Korean Society of Medical Informatics 2023: Revolution and Innovation in Smart Healthcare.
Jungchan Park, Taehoon Ko, Younghee Lee, Kwangmo Yang

Healthc Inform Res· July 2023

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