The coming era of a new auscultation system for analyzing respiratory sounds by Yoonjoo Kim, YunKyong Hyon, Sunju Lee, Seong-Dae Woo, Taeyoung Ha, Chaeuk Chung

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Prediction of disorders with significant coronary lesions using machine learning in patients admitted with chest symptom. by Jae Young Choi, Jae Hoon Lee, Yuri Choi, YunKyong Hyon, Yong Hwan Kim

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Prediction of disorders with significant coronary lesions using machine learning in patients admitted with chest symptom by Jae Young Choi, Jae Hoon Lee, Yuri Choi, YunKyong Hyon, Yong Hwan Kim

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Descriptors of atoms and structure information for predicting properties of crystalline materials by Jonggul Lee, Jungho Shin, Tae-Wook Ko, Seunghee Lee, Hyunju Chang, YunKyong Hyon

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Respiratory sound classification for crackles, wheezes, and rhonchi in the clinical field using deep learning by Yoonjoo Kim, YunKyong Hyon, Sung Soo Jung, Sunju Lee, Geon Yoo, Chaeuk Chung, Taeyoung Ha

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Evolution of the Stethoscope: Advances with the Adoption of Machine Learning and Development of Wearable Devices by Yoonjoo Kim, YunKyong Hyon, Seong-Dae Woo, Sunju Lee, Song-I Lee, Taeyoung Ha, Chaeuk Chung

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Body Fat Plays an Important Role in of Bioimpedance Spectroscopy-Based Dry Weight Measurement Error for Patients with Hemodialysis by Hae-Ri Kim, Jae-Wan Jeon, Hong-Jin Bae, Jin-Ah Shin, Young-Rok Ham, Ki-Ryang Na, Kang-Wook Lee, Dae-Eun Choi, Yun-Kyong Hyon

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Machine learning prediction of stone-free success in patients with urinary stone after treatment of shock wave lithotripsy by Seung Woo Yang, Yun Kyong Hyon, Hyun Seok Na, Long Jin, Jae Geun Lee, Jong Mok Park, Ji Yong Lee, Ju Hyun Shin, Jae Sung Lim, Yong Gil Na, Kiwan Jeon, Taeyoung Ha, Jinbum Kim, Ki Hak Song

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