Enhancing Patient Flow in Emergency Departments: A Machine Learning and Simulation-Based Resource Scheduling Approach von Kim, Jae-Kwon

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Partial Correlation Analysis and Neural-Network-Based Prediction Model for Biochemical Recurrence of Prostate Cancer after Radical Prostatectomy von Kim, Jae-Kwon, Hong, Sung-Hoo, Choi, In-Young

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Machine-Learning-Based Digital Twin System for Predicting the Progression of Prostate Cancer von Kim, Jae-Kwon, Lee, Sun-Jung, Hong, Sung-Hoo, Choi, In-Young

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Multi-Center Healthcare Data Quality Measurement Model and Assessment Using OMOP CDM von Kim, Ki-Hoon, Choi, Wona, Ko, Soo-Jeong, Chang, Dong-Jin, Chung, Yeon-Woog, Chang, Se-Hyun, Kim, Jae-Kwon, Kim, Dai-Jin, Choi, In-Young

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Effects of Twelve Germline Missense Variations on DNA Lesion and G‑Quadruplex Bypass Activities of Human DNA Polymerase REV1 von Yeom, Mina, Kim, In-Hyeok, Kim, Jae-Kwon, Kang, KyeongJin, Eoff, Robert L, Guengerich, F. Peter, Choi, Jeong-Yun

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Classification of normal and epileptic seizure EEG signals using wavelet transform, phase-space reconstruction, and Euclidean distance von Lee, Sang-Hong, Lim, Joon S, Kim, Jae-Kwon, Yang, Junggi, Lee, Youngho

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Low Temperature Behavior and Crossovers of the Square Lattice Quantum Heisenberg Antiferromagnet von Kim, Jae-Kwon, Troyer, Matthias

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Clinical significance of decreased or loss of ABO blood group expression in acute myeloid leukaemia: A single‐centre retrospective study von Han, Jay Ho, Lee, Howon, Kim, Jae Kwon, Yoo, Jaeeun, Park, Kyuho, Jekarl, Dong Wook, Kim, Yonggoo

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Devolatilization characteristics of high volatile coal in a wire mesh reactor von Ra, Ho Won, Seo, Myung Won, Yoon, Sang Jun, Yoon, Sung Min, Kim, Jae Kwon, Lee, Jae Goo, Park, Seung Bin

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Machine learning prediction of dropping out of outpatients with alcohol use disorders von Park, So Jin, Lee, Sun Jung, Kim, HyungMin, Kim, Jae Kwon, Chun, Ji-Won, Lee, Soo-Jung, Lee, Hae Kook, Kim, Dai Jin, Choi, In Young

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Effectiveness of leukapheresis on early survival in acute myeloid leukemia: An observational propensity score matching cohort study von Lee, Howon, Han, Jay Ho, Kim, Jae Kwon, Yoo, Jaeeun, Cho, Hyung Suk, Yoon, Jae‐Ho, Cho, Byung Sik, Kim, Hee‐Je, Lim, Jihyang, Jekarl, Dong Wook, Kim, Yonggoo

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Producing fine fully lamellar microstructure for cast γ-TiAl without hot working von Kim, Jae-Kwon, Kim, Jong-Hun, Kim, Ji-Young, Park, Sung-Hyun, Kim, Seong-Woong, Oh, Myung-Hoon, Kim, Seung-Eon

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Transfusion support in hematopoietic stem cell transplantation von Jekarl, Dong Wook, Kim, Jae Kwon, Han, Jay Ho, Lee, Howon, Yoo, Jaeeun, Lim, Jihyang, Kim, Yonggoo

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Molecular Detection of Various Rickettsiae in Mites (Acari: Trombiculidae) in Southern Jeolla Province, Korea von Choi, Yeon-Joo, Lee, Eun-Mi, Park, Jin-Mi, Lee, Kyung-Min, Han, Seung-Hoon, Kim, Jae-Kwon, Lee, Seung-Hyun, Song, Hyeon-Je, Choi, Myung-Sik, Kim, Ik-Sang, Park, Kyung-Hee, Jang, Won-Jong

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Characterization of Caffeoylquinic Acids from Lepisorus thunbergianus and Their Melanogenesis Inhibitory Activity von Kim, Hak Hyun, Kim, Jae Kwon, Kim, Jaehyun, Jung, Se-Hui, Lee, Kooyeon

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Machine Learning Predicts 30-Day Outcome among Acute Myeloid Leukemia Patients: A Single-Center, Retrospective, Cohort Study von Lee, Howon, Han, Jay Ho, Kim, Jae Kwon, Yoo, Jaeeun, Yoon, Jae-Ho, Cho, Byung Sik, Kim, Hee-Je, Lim, Jihyang, Jekarl, Dong Wook, Kim, Yonggoo

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Adaptive mining prediction model for content recommendation to coronary heart disease patients von Kim, Jae-Kwon, Lee, Jong-Sik, Park, Dong-Kyun, Lim, Yong-Soo, Lee, Young-Ho, Jung, Eun-Young

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Protein patterning by maskless photolithography on hydrophilic polymer-grafted surface von Shin, Dong-Sik, Lee, Kook-Nyung, Jang, Ki-Hoon, Kim, Jae-Kwon, Chung, Woo-Jae, Kim, Yong-Kweon, Lee, Yoon-Sik

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Six Germline Genetic Variations Impair the Translesion Synthesis Activity of Human DNA Polymerase κ von Kim, Jae-Kwon, Yeom, Mina, Hong, Jin-Kyung, Song, Insil, Lee, Young-Sam, Guengerich, F. Peter, Choi, Jeong-Yun

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Coronary heart disease optimization system on adaptive-network-based fuzzy inference system and linear discriminant analysis (ANFIS–LDA) von Yang, Jung-Gi, Kim, Jae-Kwon, Kang, Un-Gu, Lee, Young-Ho

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