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Response to “In reference to ‘Prediction of Oxygen Desaturation by Using Sound Data From a Noncontact Device’”

The Laryngoscope, 2023-04, Vol.133 (4), p.E22-E22

2023

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Detection of sleep disordered breathing severity using acoustic biomarker and machine learning techniques

Biomedical engineering online, 2018-02, Vol.17 (1), p.16-16, Article 16

2018

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A Classifying Model of Obstructive Sleep Apnea Based on Heart Rate Variability in a Large Korean Population

Journal of Korean Medical Science, 2023, 38(7), , pp.1-10

2023

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Snoring-related polygenic risk and its relationship with lifestyle factors in a Korean population: KoGES study

Scientific reports, 2023-08, Vol.13 (1), p.14212-14212, Article 14212

2023

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Definition of the snoring episode index based on the analyses of snoring parameters and the apnea hypopnea index

Scientific reports, 2022-04, Vol.12 (1), p.6761-6761, Article 6761

2022

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Prediction of Oxygen Desaturation by Using Sound Data From a Noncontact Device: A Proof‐of‐Concept Study

The Laryngoscope, 2022-04, Vol.132 (4), p.901-905

2022

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Chronic rhinosinusitis increases the risk of hemorrhagic and ischemic stroke: A longitudinal follow-up study using a national sample cohort

PloS one, 2018-03, Vol.13 (3), p.e0193886-e0193886

2018

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Prediction of Sleep Stages Via Deep Learning Using Smartphone Audio Recordings in Home Environments: Model Development and Validation

Journal of medical Internet research, 2023-06, Vol.25 (7), p.e46216-e46216

2023

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Prognosis of postviral olfactory loss: follow-up study for longer than one year

American journal of rhinology & allergy, 2014-09, Vol.28 (5), p.419-422

2014

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Prediction of Apnea-Hypopnea Index Using Sound Data Collected by a Noncontact Device

Otolaryngology-head and neck surgery, 2020-03, Vol.162 (3), p.392-399

2020

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Real-Time Detection of Sleep Apnea Based on Breathing Sounds and Prediction Reinforcement Using Home Noises: Algorithm Development and Validation

Journal of medical Internet research, 2023-02, Vol.25 (1), p.e44818-e44818

2023

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Combined unsupervised-supervised machine learning for phenotyping complex diseases with its application to obstructive sleep apnea

Scientific reports, 2021-02, Vol.11 (1), p.4457-4457, Article 4457

2021

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Automated detection of intracranial aneurysms using skeleton-based 3D patches, semantic segmentation, and auxiliary classification for overcoming data imbalance in brain TOF-MRA

Scientific reports, 2023-07, Vol.13 (1), p.12018-12018

2023

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Automation of generative adversarial network-based synthetic data-augmentation for maximizing the diagnostic performance with paranasal imaging

Scientific reports, 2022-10, Vol.12 (1), p.18118-18118, Article 18118

2022

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Regional and Chronological Variation of Chemosensory Dysfunction in COVID-19: a Meta-Analysis

Journal of Korean Medical Science, 2021, 36(4), , pp.1-20

2021

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Patient-Level Prediction of Cardio-Cerebrovascular Events in Hypertension Using Nationwide Claims Data

Journal of medical Internet research, 2019-02, Vol.21 (2), p.e11757-e11757

2019

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Fas Ligand–Positive Membranous Vesicles Isolated from Sera of Patients with Oral Cancer Induce Apoptosis of Activated T Lymphocytes

Clinical cancer research, 2005-02, Vol.11 (3), p.1010-1020

2005

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Transforming electronic health record polysomnographic data into the Observational Medical Outcome Partnership's Common Data Model: a pilot feasibility study

Scientific reports, 2021-03, Vol.11 (1), p.7013-7013, Article 7013

2021

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ATP1A3 mutations can cause progressive auditory neuropathy: a new gene of auditory synaptopathy

Scientific reports, 2017-11, Vol.7 (1), p.16504-11, Article 16504

2017

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Validation of Olfactory Questionnaire in Koreans: an Alternative for Conventional Psychophysical Olfactory Tests

Journal of Korean Medical Science, 2021, 36(6), , pp.1-10

2021

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Histological and immunological features of non-eosinophilic nasal polyps

Otolaryngology-head and neck surgery, 2007-12, Vol.137 (6), p.925-930

2007

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Prevalence of subjective olfactory dysfunction and its risk factors: korean national health and nutrition examination survey

PloS one, 2013-05, Vol.8 (5), p.e62725-e62725

2013

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Full‐night measurement of level of obstruction in sleep apnea utilizing continuous manometry

The Laryngoscope, 2017-12, Vol.127 (12), p.2897-2902

2017

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Unsupervised cluster analysis of chronic rhinosinusitis with nasal polyp using routinely available clinical markers and its implication in treatment outcomes

International forum of allergy & rhinology, 2019-01, Vol.9 (1), p.79-86

2019

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Correlation between short-time and whole-night obstruction level tests for patients with obstructive sleep apnea

Scientific reports, 2021-01, Vol.11 (1), p.1509-1509, Article 1509

2021

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Response to “In reference to ‘Prediction of Oxygen Desaturation by Using Sound Data From a Noncontact Device’”

Detection of sleep disordered breathing severity using acoustic biomarker and machine learning techniques

A Classifying Model of Obstructive Sleep Apnea Based on Heart Rate Variability in a Large Korean Population

Snoring-related polygenic risk and its relationship with lifestyle factors in a Korean population: KoGES study

Definition of the snoring episode index based on the analyses of snoring parameters and the apnea hypopnea index

Prediction of Oxygen Desaturation by Using Sound Data From a Noncontact Device: A Proof‐of‐Concept Study

Chronic rhinosinusitis increases the risk of hemorrhagic and ischemic stroke: A longitudinal follow-up study using a national sample cohort

Prediction of Sleep Stages Via Deep Learning Using Smartphone Audio Recordings in Home Environments: Model Development and Validation

Prognosis of postviral olfactory loss: follow-up study for longer than one year

Prediction of Apnea-Hypopnea Index Using Sound Data Collected by a Noncontact Device

Real-Time Detection of Sleep Apnea Based on Breathing Sounds and Prediction Reinforcement Using Home Noises: Algorithm Development and Validation

Combined unsupervised-supervised machine learning for phenotyping complex diseases with its application to obstructive sleep apnea

Automated detection of intracranial aneurysms using skeleton-based 3D patches, semantic segmentation, and auxiliary classification for overcoming data imbalance in brain TOF-MRA

Automation of generative adversarial network-based synthetic data-augmentation for maximizing the diagnostic performance with paranasal imaging

Regional and Chronological Variation of Chemosensory Dysfunction in COVID-19: a Meta-Analysis

Patient-Level Prediction of Cardio-Cerebrovascular Events in Hypertension Using Nationwide Claims Data

Fas Ligand–Positive Membranous Vesicles Isolated from Sera of Patients with Oral Cancer Induce Apoptosis of Activated T Lymphocytes

Transforming electronic health record polysomnographic data into the Observational Medical Outcome Partnership's Common Data Model: a pilot feasibility study

ATP1A3 mutations can cause progressive auditory neuropathy: a new gene of auditory synaptopathy

Validation of Olfactory Questionnaire in Koreans: an Alternative for Conventional Psychophysical Olfactory Tests

Histological and immunological features of non-eosinophilic nasal polyps

Prevalence of subjective olfactory dysfunction and its risk factors: korean national health and nutrition examination survey

Full‐night measurement of level of obstruction in sleep apnea utilizing continuous manometry

Unsupervised cluster analysis of chronic rhinosinusitis with nasal polyp using routinely available clinical markers and its implication in treatment outcomes

Correlation between short-time and whole-night obstruction level tests for patients with obstructive sleep apnea

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