Predicting intraoperative hypotension using deep learning with waveforms of arterial blood pressure, electroencephalogram, and electrocardiogram: Retrospective study von Jo, Yong-Yeon, Jang, Jong-Hwan, Kwon, Joon-myoung, Lee, Hyung-Chul, Jung, Chul-Woo, Byun, Seonjeong, Jeong, Han-Gil

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Impact of image compression on deep learning-based mammogram classification von Jo, Yong-Yeon, Choi, Young Sang, Park, Hyun Woo, Lee, Jae Hyeok, Jung, Hyojung, Kim, Hyo-Eun, Ko, Kyounglan, Lee, Chan Wha, Cha, Hyo Soung, Hwangbo, Yul

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Artificial intelligence for detecting electrolyte imbalance using electrocardiography von Kwon, Joon‐myoung, Jung, Min‐Seung, Kim, Kyung‐Hee, Jo, Yong‐Yeon, Shin, Jae‐Hyun, Cho, Yong‐Hyeon, Lee, Yoon‐Ji, Ban, Jang‐Hyeon, Jeon, Ki‐Hyun, Lee, Soo Youn, Park, Jinsik, Oh, Byung‐Hee

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Artificial Intelligence-Enhanced Smartwatch ECG for Heart Failure-Reduced Ejection Fraction Detection by Generating 12-Lead ECG von Kwon, Joon-Myoung, Jo, Yong-Yeon, Lee, Soo Youn, Kang, Seonmi, Lim, Seon-Yu, Lee, Min Sung, Kim, Kyung-Hee

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Reduction of time‐releasing ammonia from polymer foam using low acidic polymers von Cho, Mi Yeon, Kim, Tae Min, Kim, Yeon Wook, Shin, Min‐Seung, Jo, Yong Yeon, Lee, Kangtaek, Kim, Bo‐Hyun, Lee, Sunjong

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Efficient processing of recommendation algorithms on a single-machine-based graph engine von Jo, Yong-Yeon, Jang, Myung-Hwan, Kim, Sang-Wook, Han, Kyungsik

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Identifying Atrial Fibrillation With Sinus Rhythm Electrocardiogram in Embolic Stroke of Undetermined Source: A Validation Study With Insertable Cardiac Monitors von Jeon, Ki-Hyun, Jang, Jong-Hwan, Kang, Sora, Lee, Hak Seung, Lee, Min Sung, Son, Jeong Min, Jo, Yong-Yeon, Park, Tae Jun, Oh, Il-Young, Kwon, Joon-myoung, Lee, Ji Hyun

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Deep-learning model for screening sepsis using electrocardiography von Kwon, Joon-myoung, Lee, Ye Rang, Jung, Min-Seung, Lee, Yoon-Ji, Jo, Yong-Yeon, Kang, Da-Young, Lee, Soo Youn, Cho, Yong-Hyeon, Shin, Jae-Hyun, Ban, Jang-Hyeon, Kim, Kyung-Hee

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Explainable artificial intelligence to detect atrial fibrillation using electrocardiogram von Jo, Yong-Yeon, Cho, Younghoon, Lee, Soo Youn, Kwon, Joon-myoung, Kim, Kyung-Hee, Jeon, Ki-Hyun, Cho, Soohyun, Park, Jinsik, Oh, Byung-Hee

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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 von Jo, Yong-Yeon, Han, JaiHong, Park, Hyun Woo, Jung, Hyojung, Lee, Jae Dong, Jung, Jipmin, Cha, Hyo Soung, Sohn, Dae Kyung, Hwangbo, Yul

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Artificial intelligence using electrocardiography: strengths and pitfalls von Kwon, Joon-myoung, Jo, Yong-Yeon, Lee, Soo Youn, Kim, Kyung-Hee

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An artificial intelligence electrocardiogram analysis for detecting cardiomyopathy in the peripartum period von Lee, Yeji, Choi, Byungjin, Lee, Min Sung, Jin, Uram, Yoon, Seokyoung, Jo, Yong-Yeon, Kwon, Joon-myoung

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A Data Layout with Good Data Locality for Single-Machine based Graph Engines von Jo, Yong-Yeon, Jang, Myung-Hwan, Kim, Sang-Wook, Park, Sunju

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The uFLIP benchmark revisited for evaluating SSDs von Kang, Yoonsuk, Jo, Yong-Yeon, Cha, Jaehhyuk, Kim, Sang-Wook, Shin, Young Kyun

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FORESEE: An Effective and Efficient Framework for Estimating the Execution Times of IO Traces on the SSD von Kang, Yoonsuk, Jo, Yong-Yeon, Cha, Jaehyuk, Bae, Wan D., Lee, Wonjun, Kim, Sang-Wook

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AI-enabled ECG index for predicting left ventricular dysfunction in patients with ST-segment elevation myocardial infarction von Jeon, Ki-Hyun, Lee, Hak Seung, Kang, Sora, Jang, Jong-Hwan, Jo, Yong-Yeon, Son, Jeong Min, Lee, Min Sung, Kwon, Joon-myoung, Kwun, Ju-Seung, Cho, Hyoung-Won, Kang, Si-Hyuck, Lee, Wonjae, Yoon, Chang-Hwan, Suh, Jung-Won, Youn, Tae-Jin, Chae, In-Ho

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Detection and classification of arrhythmia using an explainable deep learning model von Jo, Yong-Yeon, Kwon, Joon-myoung, Jeon, Ki-Hyun, Cho, Yong-Hyeon, Shin, Jae-Hyun, Lee, Yoon-Ji, Jung, Min-Seung, Ban, Jang-Hyeon, Kim, Kyung-Hee, Lee, Soo Youn, Park, Jinsik, Oh, Byung-Hee

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Artificial intelligence assessment for early detection and prediction of renal impairment using electrocardiography von Kwon, Joon-myoung, Kim, Kyung-Hee, Jo, Yong-Yeon, Jung, Min-Seung, Cho, Yong-Hyeon, Shin, Jae-Hyun, Lee, Yoon-Ji, Ban, Jang-Hyeon, Lee, Soo Youn, Park, Jinsik, Oh, Byung-Hee

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Artificial intelligence to diagnose paroxysmal supraventricular tachycardia using electrocardiography during normal sinus rhythm von Jo, Yong-Yeon, Kwon, Joon-Myoung, Jeon, Ki-Hyun, Cho, Yong-Hyeon, Shin, Jae-Hyun, Lee, Yoon-Ji, Jung, Min-Seung, Ban, Jang-Hyeon, Kim, Kyung-Hee, Lee, Soo Youn, Park, Jinsik, Oh, Byung-Hee

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High-performance data mining with intelligent SSD von Jo, Yong-Yeon, Kim, Sang-Wook, Cho, Sung-Woo, Bae, Duck-Ho, Oh, Hyunok

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