| Risk evaluation of azithromycin‐induced QT prolongation in real‐world practice Y Choi, HS Lim, D Chung, J Choi, D Yoon BioMed research international 2018 (1), 1574806, 2018 | 118 | 2018 |
| Deep learning approach for imputation of missing values in actigraphy data: Algorithm development study JH Jang, J Choi, HW Roh, SJ Son, CH Hong, EY Kim, TY Kim, D Yoon JMIR mHealth and uHealth 8 (7), e16113, 2020 | 28 | 2020 |
| In vitro and in vivo defensive effect of probiotic LAB against Pseudomonas aeruginosa using Caenorhabditis elegans model R Chelliah, JG Choi, S Hwang, BJ Park, EBM Daliri, SH Kim, S Wei, ... Virulence 9 (1), 1489-1507, 2018 | 26 | 2018 |
| Construction of an electrocardiogram database including 12 lead waveforms D Chung, J Choi, JH Jang, TY Kim, JH Byun, H Park, HS Lim, RW Park, ... Healthcare informatics research 24 (3), 242-246, 2018 | 20 | 2018 |
| Machine learning framework for multi-level classification of company revenue JG Choi, I Ko, J Kim, Y Jeon, S Han IEEE Access 9, 96739-96750, 2021 | 19 | 2021 |
| Associations of rest-activity patterns with amyloid burden, medial temporal lobe atrophy, and cognitive impairment HW Roh, J Choi, NR Kim, YS Choe, JW Choi, SM Cho, SW Seo, B Park, ... EBioMedicine 58, 2020 | 19 | 2020 |
| Quantitative Evaluation of the Relationship between T‐Wave‐Based Features and Serum Potassium Level in Real‐World Clinical Practice D Yoon, HS Lim, JC Jeong, TY Kim, J Choi, JH Jang, E Jeong, CM Park BioMed Research International 2018 (1), 3054316, 2018 | 17 | 2018 |
| EEG-based identification of emotional neural state evoked by virtual environment interaction D Jung, J Choi, J Kim, S Cho, S Han International journal of environmental research and public health 19 (4), 2158, 2022 | 15 | 2022 |
| In vivo screening platform for shiga toxin-producing Escherichia coli (STEC) using Caenorhabditis elegans as a model SB Hwang, J Choi, S Wei, BJ Park, R Chelliah, DH Oh PLoS One 13 (2), e0193277, 2018 | 13 | 2018 |
| Depression level classification using machine learning classifiers based on actigraphy data JG Choi, I Ko, S Han IEEE Access 9, 116622-116646, 2021 | 12 | 2021 |
| Associations of actigraphy derived rest activity patterns and circadian phase with clinical symptoms and polysomnographic parameters in chronic insomnia disorders HW Roh, SJ Choi, H Jo, D Kim, J Choi, SJ Son, EY Joo Scientific Reports 12 (1), 4895, 2022 | 8 | 2022 |
| Deep learning approach to generate a synthetic cognitive psychology behavioral dataset JG Choi, Y Nah, I Ko, S Han IEEE Access 9, 142489-142505, 2021 | 6 | 2021 |
| Validation of the influence of biosignals on performance of machine learning algorithms for sleep stage classification J Choi, S Kwon, S Park, S Han Digital Health 9, 20552076231163783, 2023 | 3 | 2023 |
| Machine learning approach for classifying college scholastic ability test levels with unsupervised features from prefrontal functional near-infrared spectroscopy signals J Choi, I Ko, Y Nah, B Kim, Y Park, J Cha, J Choi, S Han IEEE Access 10, 50864-50877, 2022 | 3 | 2022 |
| Identification of risk factors for suicidal ideation and attempt based on machine learning algorithms: A longitudinal survey in Korea (2007–2019) J Choi, S Cho, I Ko, S Han International journal of environmental research and public health 18 (23), 12772, 2021 | 3 | 2021 |
| Investigation of factors regarding the effects of COVID-19 pandemic on college students’ depression by quantum annealer J Choi, K Kim, SH Park, J Hur, H Yang, YH Kim, H Lee, S Han Scientific reports 14 (1), 4684, 2024 | 2 | 2024 |
| Investigating the relationship between CSAT scores and prefrontal fNIRS signals during cognitive tasks using a quantum annealing algorithm Y Kim, J Choi, B Kim, Y Park, J Cha, J Choi, S Han Scientific Reports 14 (1), 19760, 2024 | 1* | 2024 |
| Validation of depression determinants in caregivers of dementia patients with machine learning algorithms and statistical model K Cho, J Choi, S Han Frontiers in Medicine 10, 1095385, 2023 | 1 | 2023 |
| A hybrid quantum-classical algorithm approach for the early detection of cognitive impairment with the resting-state fMRI time-course J Choi Yonsei University, 2024 | | 2024 |
| Early-stage detection of cognitive impairment by hybrid quantum-classical algorithm using resting-state functional MRI time-series J Choi, T Hur, DK Park, NY Shin, SK Lee, H Lee, S Han Available at SSRN 4949088, 2024 | | 2024 |
Dukyong YoonDepartment of Biomedical Systems Informatics, Yonsei University College of Medicine在 yonsei.ac.kr 的电子邮件经过验证
