Taehoon Ko

18 papers Journal 7Unranked 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
Toward Global Large Language Models in Medicine.
CoRR
Rui Yang, Huitao Li, Weihao Xuan, Heli Qi, Xin Li, Kunyu Yu, Yingjian Chen, Rongrong Wang, Jacques Behmoaras, Tianxi Cai, Bibhas Chakraborty, Qingyu Chen, Lionel Tim-Ee Cheng, Marie-Louise Damwanza, Chido Dzinotyiwei, Aosong Feng, Chuan Hong, Yusuke Iwasawa, Yuhe Ke, Linah Kitala, Taehoon Ko, Jisan Lee, Irene Li, Jonathan Chong Kai Liew, Hongfang Liu, Lian Leng Low, Edison Marrese-Taylor, Yutaka Matsuo, Isheanesu Misi, Yilin Ning, Jasmine Chiat Ling Ong, Marcus Eng Hock Ong, Enrico Petretto, Hossein Rouhizadeh, Abiram Sandralegar, Oren Schreier, Iain Bee Huat Tan, Patrick Tan, Daniel Shu Wei Ting, Junjue Wang, Chunhua Weng, Matthew Yu Heng Wong, Fang Wu, Yunze Xiao, Xuhai Xu, Qingcheng Zeng, Zhuo Zheng, Yifan Peng, Douglas Teodoro, Nan Liu
2025 J jnl
A prompt framework for enhancing LLM-based explainability of medical machine learning models: an intensive care unit application.
BMC Medical Informatics Decis. Mak.
Sujung Lee, Won Ik Cho, Youngrong Lee, Duck Ju Kim, Kyeng Hyun Nam, Sangmin Lee, Jungyo Suh, Taehoon Ko
2025 — conf
Constructing a High-Quality English and Korean Medical Corpus for Medical Large Language Model.
MedInfo
Chansik Kim, Tong Min Kim, Youngrong Lee, Donggyu Kim, Taehoon Ko
2025 — conf
Development and Validation of a Machine Learning-Based Model for Methimazole Dosage Adjustment in Children and Adolescents with Hyperthyroidism.
MedInfo
Kanghyuck Lee, Joon Young Kim, Taehoon Ko, Kyungchul Song
2025 — conf
Optimizing Nursing Data for Al and CDSS: SNOMED CT Mapping Using K-MIMIC.
MedInfo
Youngeun Kim, Mijeong Park, Sang-Min Lee, Ho Geol Ryu, Hyung-Chul Lee, Taehoon Ko, Jongho Shin, Sul Mui Won, Sae Won Choi, Young-Gon Kim, Eui Kyu Chie, Jisan Lee
2024 — conf
Assessing the Proficiency of LLMs with Various Tasks and Evaluators.
MIE
Tong Min Kim, Youngrong Lee, Taehoon Ko
2024 — conf
Automation of Trainable Datasets Generation for Medical-Specific Language Model: Using MIMIC-IV Discharge Notes.
MIE
Youngrong Lee, Taehoon Ko
2024 J jnl
Comparison of AI with and without hand-crafted features to classify Alzheimer's disease in different languages.
Comput. Biol. Medicine
Tong Min Kim, Junhyeok Son, Ji-Won Chun, Youngrong Lee, Dai-Jin Kim, In-Young Choi, Taehoon Ko, Seungjin Choi
2024 — conf
Fill in the Blank, MIMIC the Procedure: Tracking Patient Record for Medical Data Reconstruction.
MIE
Sujung Lee, Daechul Seo, Taehoon Ko
2024 — conf
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
Seol Whan Oh, Sung-Hwan Kim, Taehoon Ko, In Young Choi
2024 — conf
Well-Tempered Medical Prompt Engineering for Explainable Extubation.
MIE
Sujung Lee, Won Ik Cho, Taehoon Ko
2022 J jnl
Asbestosis diagnosis algorithm combining the lung segmentation method and deep learning model in computed tomography image.
Int. J. Medical Informatics
Hyung Min Kim, Taehoon Ko, In Young Choi, Jun-Pyo Myong
2022 J jnl
Development of Blockchain-Based Health Information Exchange Platform Using HL7 FHIR Standards: Usability Test.
IEEE Access
Ye Seul Bae, Yujin Park, Seung Min Lee, Hee Hwa Seo, Hyeonji Lee, Taehoon Ko, Eunsol Lee, Sang Min Park, Hyung-Jin Yoon
2019 — conf
Association of DeepLearning-Based Fundus Age Difference with Carotid Atherosclerosis and Mortality.
BIBM
Jooyoung Chang, Joo Young Shin, Taehoon Ko, Jinho Lee, Baek-Lok Oh, Ki Ho Park, Ahryoung Ko, Sang Min Park, Seulggie Choi, Kyuwoong Kim, Sung Min Kim, Jae Moon Yun, Uk Kang, Il Hyung Shin
2019 — conf
Introduction of a Program to Improve the Information Sharing System of Food Allergy Patients.
MedInfo
Ji Su Ha, Su Hyun Kim, Sang Hee Lim, Taehoon Ko, Sae Won Choi, Hae Young Lee, Kyung Hwan Kim
2019 — conf
Result and Effectiveness of Malicious E-mail Response Training in a Hospital.
MedInfo
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
2017 J jnl
Machine learning-based anomaly detection via integration of manufacturing, inspection and after-sales service data.
Ind. Manag. Data Syst.
Taehoon Ko, Je Hyuk Lee, Hyunchang Cho, Sungzoon Cho, Wounjoo Lee, Miji Lee
2015 J jnl
An efficient and effective ensemble of support vector machines for anti-diabetic drug failure prediction.
Expert Syst. Appl.
Seokho Kang, Pilsung Kang, Taehoon Ko, Sungzoon Cho, Su-jin Rhee, Kyung-Sang Yu