Kyung Min Kim

Clinical assistant professor

Yonsei University College of Medicine

South Korea

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About

Kyung Min Kim is a Clinical Assistant Professor at Yonsei University College of Medicine in South Korea. His research areas include machine learning applications in diagnosing neurological disorders, the impact of gut microbiota on migraine, and the development of wearable technology for sleep analysis. Recent publications focus on cardiovascular and neurological health, including studies on Parkinson’s disease, central nervous system infections, and postoperative delirium.

Articles (20)

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2025

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2021

Collaborators (11)

Min Kyung Chu

Yonsei University College of Medicine

SOUTH KOREA

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Soo-Jin Cho

Hallym University College of Medicine

SOUTH KOREA

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Won-Joo Kim

Yonsei University Health System

SOUTH KOREA

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Wonwoo Lee

Clinical Assistant Professor

Yongin Severance Hospital

SOUTH KOREA

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Heewon Hwang

Clinical assistant professor

Wonju Severance Christian Hospital

SOUTH KOREA

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Yu Rang Park

Yonsei University College of Medicine

SOUTH KOREA

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Jun-Sang Sunwoo

Clinical Associate Professor

Kangbuk Samsung Hospital

SOUTH KOREA

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Hee‐Jin Im

SOUTH KOREA

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Daeyoung Kim

Associate Professor

Seoul National University Hospital

SOUTH KOREA

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Hye Jeong Lee

Chung Ang University Hospital

SOUTH KOREA

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Beomseok Sohn

Assistant Professor

Samsung Medical Center

SOUTH KOREA

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Kyung Min Kim

Research Interests

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About

Articles (20)

Classifying Parkinson’s Disease With or Without Rapid Eye Movement Sleep Behavior Disorder Using Machine Learning-Based Analysis of Single-Lead Electrocardiogram

Oral and Gut Dysbiosis in Migraine

Patch-type wearable electrocardiography and impedance pneumography for sleep staging: A multi-modal deep learning approach

Deep‐Learning Model for Central Nervous System Infection Diagnosis and Prognosis Using Label‐Free 3D Immune‐Cell Morphology in the Cerebrospinal Fluid

Deep‐Learning Model for Central Nervous System Infection Diagnosis and Prognosis Using Label‐Free 3D Immune‐Cell Morphology in the Cerebrospinal Fluid

Enlarged perivascular space in the temporal lobe as a prognostic marker in temporal lobe epilepsy with hippocampal sclerosis

Shared comorbidity of depression, migraine, insomnia, and fibromyalgia in a population-based sample

Validity and Reliability of the Korean Version of Reduced Morningness–Eveningness Questionnaire: Results From a General Population-Based Sample

Development and Validation of Machine Learning Models to Predict Postoperative Delirium Using Clinical Features and Polysomnography Variables

Changes in heart rate variability over time from symptom onset of transient global amnesia.

Response to “Radiomic Models for Diagnosing Juvenile Myoclonic Epilepsy Should Note Its Genetic Heterogeneity”

Development and validation of an artificial intelligence model for the early classification of the aetiology of meningitis and encephalitis: a retrospective observational study

Sleep and Epilepsy

Visual Aura in Non-Migraine Headaches: A Population Study

Crystal‐clear days and unclear days in migraine: A population‐based study

Development and Validation of MRI-Based Radiomics Models for Diagnosing Juvenile Myoclonic Epilepsy

The Grey Zone in Multiple Sleep Latency Test for Diagnosis of Narcolepsy: A Survey of Korean Neurologist

Proposal for Preventing Motor Vehicle Accident Related to Drowsy Driving in Patients With Narcolepsy

Proposal for Prevention of Drowsy Driving-Related Motor Vehicle Accidents in Patients With Obstructive Sleep Apnea

Weekend catch-up sleep and depression: results from a nationally representative sample in Korea

Collaborators (11)

Min Kyung Chu

Soo-Jin Cho

Won-Joo Kim

Wonwoo Lee

Heewon Hwang

Yu Rang Park

Jun-Sang Sunwoo

Hee‐Jin Im

Daeyoung Kim

Hye Jeong Lee

Beomseok Sohn

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