| Depression screening using daily mental-health ratings from a smartphone application for breast cancer patients J Kim, S Lim, YH Min, YW Shin, B Lee, G Sohn, KH Jung, JH Lee, BH Son, ... Journal of medical Internet research 18 (8), e5598, 2016 | 95 | 2016 |
| The deterrent effect of ride-sharing on sexual assault and investigation of situational contingencies J Park, MS Pang, J Kim, B Lee Information Systems Research 32 (2), 497-516, 2021 | 30 | 2021 |
| A nomogram for predicting the Oncotype DX recurrence score in women with T1-3N0-1miM0 hormone receptor–positive, human epidermal growth factor 2 (HER2)–negative breast cancer SB Lee, J Kim, G Sohn, J Kim, IY Chung, HJ Kim, BS Ko, BH Son, SH Ahn, ... Cancer Res Treat 51 (3), 1073-1085, 2019 | 30 | 2019 |
| Development of a real-time risk prediction model for in-hospital cardiac arrest in critically ill patients using deep learning: retrospective study J Kim, YR Park, JH Lee, JH Lee, YH Kim, JW Huh JMIR Medical Informatics 8 (3), e16349, 2020 | 21 | 2020 |
| Are Uber really to blame for sexual assault? Evidence from New York city J Park, J Kim, B Lee Proceedings of the 18th annual international conference on electronic …, 2016 | 18 | 2016 |
| What clinical information is valuable to doctors using mobile electronic medical records and when? J Kim, Y Lee, S Lim, JH Kim, B Lee, JH Lee Journal of medical Internet research 19 (10), e340, 2017 | 17 | 2017 |
| Limitations of deep learning attention mechanisms in clinical research: Empirical case study based on the Korean diabetic disease setting J Kim, S Lee, E Hwang, KS Ryu, H Jeong, JW Lee, Y Hwangbo, KS Choi, ... Journal of medical Internet research 22 (12), e18418, 2020 | 16 | 2020 |
| Usage pattern differences and similarities of mobile electronic medical records among health care providers Y Lee, YR Park, J Kim, JH Kim, WS Kim, JH Lee JMIR mHealth and uHealth 5 (12), e8855, 2017 | 13 | 2017 |
| Offender or guardian? An empirical analysis of ride-sharing and sexual assault J Park, J Kim, MS Pang, B Lee KAIST College of Business working paper series,(2017-006), 2017 | 11 | 2017 |
| A nomogram for predicting probability of low risk of MammaPrint results in women with clinically high-risk breast cancer YJ Lee, YS Hwang, J Kim, SH Ahn, BH Son, HJ Kim, BS Ko, J Kim, ... Scientific Reports 11 (1), 23509, 2021 | 7 | 2021 |
| Intraoperative hypotension prediction based on features automatically generated within an interpretable deep learning model E Hwang, YS Park, JY Kim, SH Park, J Kim, SH Kim IEEE Transactions on Neural Networks and Learning Systems, 2023 | 6 | 2023 |
| Detecting Depression of Cancer Patients with Daily Mental Health Logs from Mobile Applications J Kim, S Lim, B Lee, JW Lee | 6 | 2015 |
| Development of a Bispectral index score prediction model based on an interpretable deep learning algorithm E Hwang, HS Park, HS Kim, JY Kim, H Jeong, J Kim, SH Kim Artificial Intelligence in Medicine 143, 102569, 2023 | 4 | 2023 |
| How are doctors using mobile electronic medical records? An In-depth analysis of the usage pattern J Kim, Y Lee, S Lim, JH Lee MEDINFO 2017: Precision Healthcare through Informatics, 1231-1231, 2017 | 4 | 2017 |
| A comparison of machine learning models and Cox proportional hazards models regarding their ability to predict the risk of gastrointestinal cancer based on metabolic syndrome … TT Tran, J Lee, M Gunathilake, J Kim, SY Kim, H Cho, J Kim Frontiers in Oncology 13, 1049787, 2023 | 3 | 2023 |
| Understanding time series patterns of weight and meal history reports in mobile weight loss intervention programs: data-driven analysis J Kim, HJ Kam, Y Kim, Y Lee, JH Lee Journal of Medical Internet Research 22 (8), e17521, 2020 | 3 | 2020 |
| VABAM: Variational Autoencoder for Amplitude-based Biosignal Augmentation within Morphological Identities J Kim, K Park, K Kim Authorea Preprints, 2024 | 1 | 2024 |
| Intraoperative Hypotension Prediction Based on Features Automatically Generated Within an Interpretable Deep Learning Model J Kim, SH Kim, E Hwang, YS Park, JY Kim, SH Park Authorea Preprints, 2023 | 1 | 2023 |
| Salient Facets in Artificial Intelligence for Cleansing Pulsatile Physiological Signals: Knowledge Incorporation, Real-Time Dynamics, Assessment Entities, and Technology Acceptance K Park, KS Kim, DI Kim, K Kim, WY Seo, JM Shin, J Kim, SH Kim Authorea Preprints, 2024 | | 2024 |
| SurProGenes: survival risk-ordered representation of cancer patients and genes for the identification of prognostic genes J Kim, K Park, H Jeong, Y Kim, J Kim, SY Kim International Conference on Machine Learning, 16771-16786, 2023 | | 2023 |
