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Author

Taeyoung Kim

2 papers indexed here

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Sep 2026

Multimodal machine learning model integrating electroencephalography, heart rate variability and clinical measures for distinguishing major psychiatric disorders.

BACKGROUND This study aimed to develop and evaluate multimodal machine learning (ML) approaches for differentiating bipolar disorder (BD), major depressive disorder (MDD), and schizophrenia (SZ), conditions that are clinically difficult to distinguish because of overlapping symptom presentations despite their distinct...

Byeongjae Kang, Ji-Yoon Lee, J. Chang et al. · 0 citations
Open access Jul 2026

Association of Variability of Monthly Continuous Glucose Monitoring-Derived Metrics With Diabetic Kidney Disease in Type 1 Diabetes.

BACKGROUND While HbA1c is the standard for monitoring long-term glycaemic control, it fails to capture glycaemic variability. We investigated the discriminatory capacity of longitudinal continuous glucose monitoring (CGM) metrics and identified CGM metric patterns associated with diabetic kidney disease (DKD) in indivi...

Byeongjae Kang, Rosa Oh, Taeyoung Kim et al. · 0 citations

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