Jong-Hwan Jang

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.

Cheyne-Stokes Respiration and Prognosis in Neurocritical Patients

J. H. Kim, Jong-Hwan Jang, D. Yoon, 2020 .

Quantitative Evaluation of the Relationship between T-Wave-Based Features and Serum Potassium Level in Real-World Clinical Practice

Jong-Hwan Jang, D. Yoon, J. Jeong, 2018, BioMed research international.

Wavelet-Based EMG Sensing Interface for Pattern Recognition

Jong-Hwan Jang, 2008 .

Deep Learning Approach for Imputation of Missing Values in Actigraphy Data: Algorithm Development Study

Jong-Hwan Jang, D. Yoon, C. Hong, 2020, JMIR mHealth and uHealth.

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.

Does Exposure to Computed Tomography Contrast Media Increase Risk of End-Stage Renal Disease?

Hyuk-Hoon Kim, Y. Min, Jong-Hwan Jang, 2020, Medical science monitor : international medical journal of experimental and clinical research.

Modeling Brain Volume Using Deep Learning-Based Physical Activity Features in Patients With Dementia

Jong-Hwan Jang, D. Yoon, S. Son, 2022, Frontiers in Neuroinformatics.

Automated Detection of Acute Myocardial Infarction Using Asynchronous Electrocardiogram Signals—Preview of Implementing Artificial Intelligence With Multichannel Electrocardiographs Obtained From Smartwatches: Retrospective Study

Jong-Hwan Jang, D. Yoon, H. Lim, 2021, Journal of medical Internet research.

Machine Learning Approach for Active Vaccine Safety Monitoring

Jong-Hwan Jang, D. Yoon, Na-Young Jeong, 2021, Journal of Korean medical science.

Effectiveness of Transfer Learning for Deep Learning-Based Electrocardiogram Analysis

Jong-Hwan Jang, D. Yoon, Tae Young Kim, 2021, Healthcare informatics research.

Discovering hidden information in biosignals from patients using artificial intelligence

Jong-Hwan Jang, D. Yoon, Tae Young Kim, 2020, Korean journal of anesthesiology.

Deep Learning Approach for Imputation of Missing Values in Actigraphy Data: Algorithm Development Study (Preprint)

Jong-Hwan Jang, D. Yoon, C. Hong, 2019 .

ECGT2T: Towards Synthesizing Twelve-Lead Electrocardiograms from Two Asynchronous Leads

Jong-Hwan Jang, Yong-Yeon Jo, J. Kwon, 2021, ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Unsupervised feature learning for electrocardiogram data using the convolutional variational autoencoder

Jong-Hwan Jang, D. Yoon, H. Lim, 2021, PloS one.