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

PloS one, 2022-08, Vol.17 (8), p.e0272055-e0272055

2022

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Impact of image compression on deep learning-based mammogram classification

Scientific reports, 2021-04, Vol.11 (1), p.7924-7924, Article 7924

2021

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Artificial intelligence for detecting electrolyte imbalance using electrocardiography

Annals of noninvasive electrocardiology, 2021-05, Vol.26 (3), p.e12839-n/a

2021

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

Diagnostics (Basel), 2022-03, Vol.12 (3), p.654

2022

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Reduction of time‐releasing ammonia from polymer foam using low acidic polymers

Journal of applied polymer science, 2021-01, Vol.138 (2), p.n/a

2021

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Efficient processing of recommendation algorithms on a single-machine-based graph engine

The Journal of supercomputing, 2020-10, Vol.76 (10), p.7985-8002

2020

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

ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023, p.1-5

2023

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Identifying Atrial Fibrillation With Sinus Rhythm Electrocardiogram in Embolic Stroke of Undetermined Source: A Validation Study With Insertable Cardiac Monitors

Korean Circulation Journal, 2023, 53(11), , pp.758-771

2023

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Deep-learning model for screening sepsis using electrocardiography

Scandinavian journal of trauma, resuscitation and emergency medicine, 2021-10, Vol.29 (1), p.145-145, Article 145

2021

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Explainable artificial intelligence to detect atrial fibrillation using electrocardiogram

International journal of cardiology, 2021-04, Vol.328, p.104-110

2021

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Prediction of Prolonged Length of Hospital Stay After Cancer Surgery Using Machine Learning on Electronic Health Records: Retrospective Cross-sectional Study

JMIR medical informatics, 2021-02, Vol.9 (2), p.e23147

2021

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Artificial intelligence using electrocardiography: strengths and pitfalls

European heart journal, 2021-08, Vol.42 (30), p.2896-2898

2021

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

International journal of cardiology, 2022-04, Vol.352, p.72-77

2022

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A Data Layout with Good Data Locality for Single-Machine based Graph Engines

IEEE transactions on computers, 2021-08, Vol.71 (8), p.1-1

2021

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The uFLIP benchmark revisited for evaluating SSDs

International journal of communication systems, 2016-09, Vol.29 (14), p.2100-2111

2016

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FORESEE: An Effective and Efficient Framework for Estimating the Execution Times of IO Traces on the SSD

IEEE transactions on computers, 2021-12, Vol.70 (12), p.2146-2160

2021

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AI-enabled ECG index for predicting left ventricular dysfunction in patients with ST-segment elevation myocardial infarction

Scientific reports, 2024-07, Vol.14 (1), p.16575-9, Article 16575

2024

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Detection and classification of arrhythmia using an explainable deep learning model

Journal of electrocardiology, 2021-07, Vol.67, p.124-132

2021

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

International urology and nephrology, 2022-10, Vol.54 (10), p.2733-2744

2022

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Intelligent SSD: A turbo for big data mining

Computer Science and Information Systems, 2016-06, Vol.13 (2), p.375-394

2016

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Optimization of GPU-based Sparse Matrix Multiplication for Large Sparse Networks

2020 IEEE 36th International Conference on Data Engineering (ICDE), 2020, p.925-936

2020

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

European heart journal. Digital health, 2021-06, Vol.2 (2), p.290-298

2021

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High-performance data mining with intelligent SSD

Cluster computing, 2017-06, Vol.20 (2), p.1155-1166

2017

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What is needed to increase the professional competencies of the military emergency medical technicians of the Republic of Korea Air Force?

Journal of educational evaluation for health professions, 2015-01, Vol.12, p.2-2

2015

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Data mining in intelligent SSD: Simulation-based evaluation

2016 International Conference on Big Data and Smart Computing (BigComp), 2016, p.123-128

2016

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

Impact of image compression on deep learning-based mammogram classification

Artificial intelligence for detecting electrolyte imbalance using electrocardiography

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

Reduction of time‐releasing ammonia from polymer foam using low acidic polymers

Efficient processing of recommendation algorithms on a single-machine-based graph engine

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

Identifying Atrial Fibrillation With Sinus Rhythm Electrocardiogram in Embolic Stroke of Undetermined Source: A Validation Study With Insertable Cardiac Monitors

Deep-learning model for screening sepsis using electrocardiography

Explainable artificial intelligence to detect atrial fibrillation using electrocardiogram

Prediction of Prolonged Length of Hospital Stay After Cancer Surgery Using Machine Learning on Electronic Health Records: Retrospective Cross-sectional Study

Artificial intelligence using electrocardiography: strengths and pitfalls

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

A Data Layout with Good Data Locality for Single-Machine based Graph Engines

The uFLIP benchmark revisited for evaluating SSDs

FORESEE: An Effective and Efficient Framework for Estimating the Execution Times of IO Traces on the SSD

AI-enabled ECG index for predicting left ventricular dysfunction in patients with ST-segment elevation myocardial infarction

Detection and classification of arrhythmia using an explainable deep learning model

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

Intelligent SSD: A turbo for big data mining

Optimization of GPU-based Sparse Matrix Multiplication for Large Sparse Networks

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

High-performance data mining with intelligent SSD

What is needed to increase the professional competencies of the military emergency medical technicians of the Republic of Korea Air Force?

Data mining in intelligent SSD: Simulation-based evaluation

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