J. Kwon

发表

Electrocardiographic biomarker based on machine learning for detecting overt hyperthyroidism

B. Choi, Jong-Hwan Jang, M. Son, 2022, European heart journal. Digital health.

Artificial intelligence for early prediction of pulmonary hypertension using electrocardiography.

J. Medina-Inojosa, J. Kwon, Kyung-Hee Kim, 2020, The Journal of heart and lung transplantation : the official publication of the International Society for Heart Transplantation.

Artificial intelligence algorithm for detecting myocardial infarction using six-lead electrocardiography

J. Medina-Inojosa, Young-Hoon Cho, J. Kwon, 2020, Scientific Reports.

Deep-learning-based risk stratification for mortality of patients with acute myocardial infarction

P. Song, J. Kwon, K. Jeon, 2019, PloS one.

Artificial intelligence algorithm for predicting mortality of patients with acute heart failure

Hyun-Jai Cho, Eun-Seok Jeon, Hyun-Young Park, 2019, PloS one.

High Incidence and Mortality of Out-of-Hospital Cardiac Arrest on Traditional Holiday in South Korea

P. Song, J. Kwon, K. Jeon, 2019, Korean circulation journal.

Association between the body mass index and outcomes of patients resuscitated from out-of-hospital cardiac arrest: a prospective multicentre registry study

Sang Hyun Park, Byuk Sung Ko, S. Lee, 2021, Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine.

Deep-learning model for screening sepsis using electrocardiography

Yong-Yeon Jo, J. Kwon, Kyung-Hee Kim, 2021, Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine.

Graph Convolutional Networks-Based Noisy Data Imputation in Electronic Health Record

J. Kwon, Yeha Lee, ByeongTak Lee, 2020, Critical care medicine.

A deep learning algorithm to detect anaemia with ECGs: a retrospective, multicentre study.

Young-Hoon Cho, J. Kwon, K. Jeon, 2020, The Lancet. Digital health.

Explainable artificial intelligence to detect atrial fibrillation using electrocardiogram.

Young-Hoon Cho, Yong-Yeon Jo, J. Kwon, 2020, International journal of cardiology.

Artificial intelligence algorithm for predicting cardiac arrest using electrocardiography

J. Kwon, K. Jeon, Jinsik Park, 2020, Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine.

Predicting intraoperative hypotension using deep learning with waveforms of arterial blood pressure, electroencephalogram, and electrocardiogram: Retrospective study

Jong-Hwan Jang, Yong-Yeon Jo, J. Kwon, 2022, PloS one.

Artificial intelligence assessment for early detection and prediction of renal impairment using electrocardiography

Yong-Yeon Jo, J. Kwon, Jinsik Park, 2022, International Urology and Nephrology.

A multicentre validation study of the deep learning-based early warning score for predicting in-hospital cardiac arrest in patients admitted to general wards.

J. Kwon, Jinsik Park, Y. Jo, 2021, Resuscitation.

A simple and novel equation to estimate the degree of bleeding in haemorrhagic shock: mathematical derivation and preliminary in vivo validation

Min Ji Lee, J. Kwon, Won Sup Oh, 2022, The Korean journal of physiology & pharmacology : official journal of the Korean Physiological Society and the Korean Society of Pharmacology.

Detecting Patient Deterioration Using Artificial Intelligence in a Rapid Response System.

J. Kwon, K. Jeon, Jinsik Park, 2020, Critical care medicine.

Comparing the performance of artificial intelligence and conventional diagnosis criteria for detecting left ventricular hypertrophy using electrocardiography.

Ki-Hyun Jeon, Kyung-Hee Kim, Joon-Myoung Kwon, 2019, Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology.

Artificial intelligence assessment for early detection of heart failure with preserved ejection fraction based on electrocardiographic features

Young-Hoon Cho, J. Kwon, K. Jeon, 2020, European heart journal. Digital health.

Detection and classification of arrhythmia using an explainable deep learning model.

Yong-Yeon Jo, J. Kwon, K. Jeon, 2021, Journal of electrocardiology.

Artificial intelligence to diagnose paroxysmal supraventricular tachycardia using electrocardiography during normal sinus rhythm

Yong-Yeon Jo, J. Kwon, K. Jeon, 2021, European heart journal. Digital health.

Deep-learning-based out-of-hospital cardiac arrest prognostic system to predict clinical outcomes.

Ki-Hyun Jeon, Kyung-Hee Kim, Joon-myoung Kwon, 2019, Resuscitation.

Validation of deep-learning-based triage and acuity score using a large national dataset

Yeha Lee, Joon-Myoung Kwon, J. Kwon, 2018, PloS one.

Quick Sequential Organ Failure Assessment Score and the Modified Early Warning Score for Predicting Clinical Deterioration in General Ward Patients Regardless of Suspected Infection

J. Kwon, Jinsik Park, Y. Jo, 2022, Journal of Korean medical science.

Artificial intelligence for detecting mitral regurgitation using electrocardiography.

Z. Akkus, J. Kwon, Kyung-Hee Kim, 2020, Journal of electrocardiology.

Deep Learning–Based Algorithm for Detecting Aortic Stenosis Using Electrocardiography

J. Kwon, K. Jeon, Jinsik Park, 2020, Journal of the American Heart Association.

An Algorithm Based on Deep Learning for Predicting In‐Hospital Cardiac Arrest

J. Kwon, Jinsik Park, Yeha Lee, 2018, Journal of the American Heart Association.

Development and Validation of Deep-Learning Algorithm for Electrocardiography-Based Heart Failure Identification

P. Song, J. Kwon, K. Jeon, 2019, Korean circulation journal.

Deep learning for predicting in‐hospital mortality among heart disease patients based on echocardiography

Ki-Hyun Jeon, Kyung-Hee Kim, Joon-Myoung Kwon, 2018, Echocardiography.

Deep Learning Model for Detection of Hypoalbuminemia Using Electrocardiography

Yong-Yeon Jo, J. Kwon, Jinsik Park, 2021 .

Artificial intelligence for detecting electrolyte imbalance using electrocardiography

Yong-Yeon Jo, J. Kwon, K. Jeon, 2021, Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc.

Artificial Intelligence-Enhanced Smartwatch ECG for Heart Failure-Reduced Ejection Fraction Detection by Generating 12-Lead ECG

Min Sung Lee, Yong-Yeon Jo, J. Kwon, 2022, Diagnostics.

Artificial Intelligence Algorithm for Screening Heart Failure with Reduced Ejection Fraction Using Electrocardiography.

J. Kwon, K. Jeon, Jinsik Park, 2021, ASAIO journal (1992).

Artificial Intelligence Algorithm for Screening Heart Failure with Reduced Ejection Fraction Using Electrocardiography.

J. Kwon, K. Jeon, Jinsik Park, 2020, ASAIO journal.

An artificial intelligence electrocardiogram analysis for detecting cardiomyopathy in the peripartum period.

B. Choi, Min Sung Lee, Yong-Yeon Jo, 2022, International journal of cardiology.

Lead-agnostic Self-supervised Learning for Local and Global Representations of Electrocardiogram

E. Choi, J. Kwon, Jungwoo Oh, 2022, CHIL.

Can emergency physicians reliably interpret cardiac CT images? A prospective observational study

Jae Hyuk Lee, J. Kwon, Kyuseok Kim, 2015, Clinical and experimental emergency medicine.