논문

학술지, 학회 발표, 표준으로 발표한 성과입니다.

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20건

2026

  • 학술지

    Dictionary-Augmented Large Language Model Postprocessing for Bilingual Code-Switched Medical Speech Recognition: Development and Evaluation Study

    저자: Chanryeong Oh, Yul Hwangbo, Wonjoong Cheon, Jaedong Lee

    Journal of Medical Internet Research, 28, e91696

  • 학술지 게재 예정

    Knowledge Distillation for Federated Learning with Biosignal Data in In-Hospital Mortality Prediction

    저자: Jaedong Lee, Hyunwoo Park

    Human-centric Computing and Information Sciences

2025

  • 학술지

    LMSA: A Lightweight Multi-Key Secure Aggregation Framework for Privacy-Preserving Healthcare AIoT

    저자: Hyunwoo Park, Jaedong Lee

    Computer Modeling in Engineering & Sciences (CMES), 143(1), 827–847

2024

  • 학술지

    Enhancing Large Language Model Reliability: Minimizing Hallucinations with Dual Retrieval-Augmented Generation Based on the Latest Diabetes Guidelines

    저자: Jaedong Lee, Hyosoung Cha, Yul Hwangbo, Wonjoong Cheon

    Journal of Personalized Medicine, 14(12), 1131

2023

  • 학술지

    Data-Efficient Computational Pathology Platform for Faster and Cheaper Breast Cancer Subtype Identifications: Development of a Deep Learning Model

    저자: Kideog Bae, Young Seok Jeon, Yul Hwangbo, Chong Woo Yoo, Nayoung Han, Mengling Feng

    JMIR Cancer

  • 학술지

    HQK-FL: Hybrid-Quantum-Key-Based Secure Federated Learning for Distributed Multi-Center Clinical Studies

    저자: Hyunwoo Park, Jaedong Lee

    Human-centric Computing and Information Sciences (HCIS)

2022

  • 표준 표준번호 TTAK.KO-10.1360

    Procedure of Building Data for Artificial Intelligence Training for the Development of Nursing Support Voice Recognition Model

    저자: 이재동, 이예림, 유재용, 박현우, 황보율

    TTA

2021

  • 표준 표준번호 TTAK.KO-10.1303

    Establishment of Data for Artificial Intelligence Learning for the Development of Diagnostic-aid Model : Pathological image

    저자: 이예림, 이재동, 박현우, 안선희, 백경연, 황보율

    TTA

  • 학술지

    2FA-SF: Two-Factor Assessment-Based Secure Framework for Clinically Distributed Multicenter Study

    저자: Jaedong Lee, Phillip Park, Sumi Ryu, Hyosoung Cha

    Human-centric Computing and Information Sciences

  • 학술지

    Application of Machine Learning to Identify Clinically Meaningful Risk Group for Osteoporosis in Individuals Under the Recommended Age for Dual-Energy X-Ray Absorptiometry

    저자: Hyun Woo Park, Hyojung Jung, Kyoung Yeon Back, Hyeon Ju Choi, Kwang Sun Ryu, Hyo Soung Cha, Eun Kyung Lee, A Ram Hong, Yul Hwangbo

    Calcified Tissue International

  • 학술지

    Impact of image compression on deep learning-based mammogram classification

    저자: Yong-Yeon Jo, Young Sang Choi, Hyun Woo Park, Jae Hyeok Lee, Hyojung Jung, Hyo-Eun Kim, Kyounglan Ko, Chan Wha Lee, Hyo Soung Cha, Yul Hwangbo

    Scientific Reports

  • 학술지

    M-IDM: A Multi-Classification Based Intrusion Detection Model in Healthcare IoT

    저자: Jae Dong Lee, Hyo Soung Cha, Shailendra Rathore, Jong Hyuk Park

    CMC-Computers, Materials & Continua

  • 학술지

    Prediction of Prolonged Length of Hospital Stay After Cancer Surgery Using Machine Learning on Electronic Health Records: Retrospective Cross-sectional Study

    저자: Yong-Yeon Jo, JaiHong Han, Hyun Woo Park, Hyojung Jung, Jae Dong Lee, Jipmin Jung, Hyo Soung Cha, Dae Kyung Sohn, Yul Hwangbo

    JMIR Medical Informatics

2020

  • 표준 표준번호 TTAK.KO-10.1276

    Establishment of Mammography Medical Knowledge-base for the Development of Breast Cancer Detection Model using Artificial Intelligence

    저자: 박현우, 황보율

    TTA

  • 학술지

    A Deep Learning Model for Estimation of Patients with Undiagnosed Diabetes

    저자: Kwang Sun Ryu, Sang Won Lee, Erdenebileg Batbaatar, Jae Wook Lee, Kui Son Choi, Hyo Soung Cha

    Applied Sciences

  • 학술지

    Aspirin Use Is Not Associated with Lower Thyroid Cancer Risk: A Nationwide Nested Case–Control Study

    저자: Young Ki Lee, Yul Hwangbo, Sangwon Lee, Dong-Eun Lee, Eun Kyung Lee, Min Sun Yeom, Jungnam Joo, Sun-Young Kong

    Thyroid

  • 학술지

    Development of a Real-Time Risk Prediction Model for In-Hospital Cardiac Arrest in Critically Ill Patients Using Deep Learning: Retrospective Study

    저자: Junetae Kim, Yu Rang Park, Jeong Hoon Lee, Jae-Ho Lee, Young-Hak Kim, Jin Won Huh

    JMIR Medical Informatics

  • 학술지

    Limitations of Deep Learning Attention Mechanisms in Clinical Research: Empirical Case Study Based on the Korean Diabetic Disease Setting

    저자: Junetae Kim, Sangwon Lee, Eugene Hwang, Kwang Sun Ryu, Hanseok Jeong, Jae Wook Lee, Yul Hwangbo, Kui Son Choi, Hyo Soung Cha

    Journal of Medical Internet Research

  • 학술지

    Screening Model for Estimating Undiagnosed Diabetes among People with a Family History of Diabetes Mellitus: A KNHANES-Based Study

    저자: Kwang Sun Ryu, Ha Ye Jin Kang, Sang Won Lee, Hyun Woo Park, Na Young You, Jae Ho Kim, Yul Hwangbo, Kui Son Choi, Hyo Soung Cha

    International Journal of Environmental Research and Public Health

  • 학술지

    Understanding Time Series Patterns of Weight and Meal History Reports in Mobile Weight Loss Intervention Programs: Data-Driven Analysis

    저자: Junetae Kim, Hye Jin Kam, Youngin Kim, Yura Lee, Jae-Ho Lee

    Journal of Medical Internet Research