Taehoon Ko

Assistant Professor

The Catholic University of Korea

South Korea

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About

Dr. Taehoon Ko is an Assistant Professor at The Catholic University of Korea. His research focuses on the application of machine learning and artificial intelligence in healthcare, particularly in predictive modeling for pediatric metabolic syndrome, mental health disorders, and diabetes. He has also contributed to the understanding of medical informatics through reviews and studies presented at various conferences. His work includes advancements in the automated detection of pathologies using advanced imaging techniques.

Taehoon Ko

Research Interests

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About

Articles (17)

Review of the 2024 Fall Conference of the Korean Society of Medical Informatics—AI’s Role in Shaping Modern Healthcare

Development and validation of a machine learning model for predicting pediatric metabolic syndrome using anthropometric and bioelectrical impedance parameters

Explainability Enhanced Machine Learning Model for Classifying Intellectual Disability and Attention-Deficit/Hyperactivity Disorder With Psychological Test Reports

Review of the 2024 Spring Conference of the Korean Society of Medical Informatics – Omnibus Omnia

Beyond Data: Actionable AI — Review of the 2023 Fall Conference of the Korean Society of Medical Informatics

Comparison of AI with and without hand-crafted features to classify Alzheimer's disease in different languages

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

Review of the Spring Conference of the Korean Society of Medical Informatics 2023: Revolution and Innovation in Smart Healthcare

Improving Machine Learning Diabetes Prediction Models for the Utmost Clinical Effectiveness

Deep Learning Model Based on 3D Optical Coherence Tomography Images for the Automated Detection of Pathologic Myopia

Establishment of the Optimal Common Data Model Environment for EMR Data Considering the Computing Resources of Medical Institutions

Development and Pilot-Test of Blockchain-Based MyHealthData Platform

Satisfaction and Usability of an Information and Communications Technology–Based System by Clinically Healthy Patients With COVID-19 and Medical Professionals: Cross-sectional Survey and Focus Group Interview Study

Privacy-Oriented Technique for COVID-19 Contact Tracing (PROTECT) Using Homomorphic Encryption: Design and Development Study

The Experimental Process Design of Artificial Lightweight Aggregates Using an Orthogonal Array Table and Analysis by Machine Learning

A Novel Framework for Identifying Customers’ Unmet Needs on Online Social Media Using Context Tree

MARIE: A Context-Aware Term Mapping with String Matching and Embedding Vectors

Collaborators (13)

Jisan Lee

Hun-Sung Kim

Younghee Lee

Ho-Seong Kim

YE SEUL BAE

Yongsoo Song

Jun Suk Oh

Tong Min Kim

Hyung‐Jin Yoon

Chae Jung Park

Hyun Wook Chae

Ki Gang Lee

Kwangmo Yang

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