| Artificial intelligence algorithm to predict the need for critical care in prehospital emergency medical services DY Kang, KJ Cho, O Kwon, J Kwon, KH Jeon, H Park, Y Lee, J Park, ... Scandinavian journal of trauma, resuscitation and emergency medicine 28, 1-8, 2020 | 92 | 2020 |
| Detecting patient deterioration using artificial intelligence in a rapid response system KJ Cho, O Kwon, J Kwon, Y Lee, H Park, KH Jeon, KH Kim, J Park, BH Oh Critical care medicine 48 (4), e285-e289, 2020 | 65 | 2020 |
| Efficient and effective influence maximization in social networks: a hybrid-approach YY Ko, KJ Cho, SW Kim Information Sciences 465, 144-161, 2018 | 41 | 2018 |
| A multicentre validation study of the deep learning-based early warning score for predicting in-hospital cardiac arrest in patients admitted to general wards YJ Lee, KJ Cho, O Kwon, H Park, Y Lee, JM Kwon, J Park, JS Kim, MJ Lee, ... Resuscitation 163, 78-85, 2021 | 27 | 2021 |
| No, that's not my feedback: TV show recommendation using watchable interval KJ Cho, YC Lee, K Han, J Choi, SW Kim 2019 IEEE 35th International Conference on Data Engineering (ICDE), 316-327, 2019 | 20 | 2019 |
| Development and validation of a deep-learning-based pediatric early warning system: a single-center study SJ Park, KJ Cho, O Kwon, H Park, Y Lee, WH Shim, CR Park, WK Jhang biomedical journal 45 (1), 155-168, 2022 | 19 | 2022 |
| Graph convolutional networks-based noisy data imputation in electronic health record BT Lee, OY Kwon, H Park, KJ Cho, JM Kwon, Y Lee Critical Care Medicine 48 (11), e1106-e1111, 2020 | 10 | 2020 |
| Quick sequential organ failure assessment score and the modified early warning score for predicting clinical deterioration in general ward patients Regardless of suspected … RE Ko, O Kwon, KJ Cho, YJ Lee, J Kwon, J Park, JS Kim, AJ Kim, YH Jo, ... Journal of Korean medical science 37 (16), 2022 | 7 | 2022 |
| Multicenter validation of a deep-learning-based pediatric early-warning system for prediction of deterioration events Y Shin, KJ Cho, Y Lee, YH Choi, JH Jung, SY Kim, YH Kim, YA Kim, J Cho, ... Acute and Critical Care 37 (4), 654-666, 2022 | 5 | 2022 |
| Early prediction of need for invasive mechanical ventilation in the neonatal intensive care unit using artificial intelligence and electronic health records: a clinical study Y Kim, H Kim, J Choi, K Cho, D Yoo, Y Lee, SJ Park, MH Jeong, SH Jeong, ... BMC pediatrics 23 (1), 525, 2023 | 3 | 2023 |
| Prospective, multicenter validation of the deep learning-based cardiac arrest risk management system for predicting in-hospital cardiac arrest or unplanned intensive care unit … KJ Cho, JS Kim, DH Lee, SM Lee, MJ Song, SY Lim, YJ Cho, YH Jo, ... Critical Care 27 (1), 346, 2023 | 3 | 2023 |
| Improving the performance of a neural network for early prediction of sepsis BT Lee, KJ Cho, O Kwon, Y Lee 2019 Computing in Cardiology (CinC), Page 1-Page 4, 2019 | 2 | 2019 |
| Real-time machine learning model to predict short-term mortality in critically ill patients: development and international validation L Lim, U Gim, K Cho, D Yoo, HG Ryu, HC Lee Critical Care 28 (1), 76, 2024 | 1 | 2024 |
| Development and Validation of Deep-Learning-Based Sepsis and Septic Shock Early Prediction System (DeepSEPS) Using Real-World ICU Data T Kim, Y Tae, HJ Yeo, JH Jang, K Cho, D Yoo, Y Lee, SH Ahn, Y Kim, ... Journal of Clinical Medicine 12 (22), 7156, 2023 | 1 | 2023 |
| Prediction method using static and dynamic data S Yunseob, TAE Yunwon, CHO Kyungjae, C Jaewoo US Patent App. 18/231,110, 2024 | | 2024 |
| The development and validation of a novel deep-learning algorithm to predict in-hospital cardiac arrest in ED-ICU (emergency department-based intensive care units): a single … Y Shin, K Cho, M Chang, H Youk, YJ Kim, JY Park, D Yoo Signa Vitae 20 (4), 2024 | | 2024 |
| External Validation of Deep Learning-Based Cardiac Arrest Risk Management System for Predicting In-Hospital Cardiac Arrest in Patients Admitted to General Wards Based on Rapid … KJ Cho, KH Kim, J Choi, D Yoo, J Kim Critical Care Medicine 52 (3), e110-e120, 2024 | | 2024 |
| Development and validation of deep-learning-based sepsis and septic shock early prediction system in real-world ICU data T Kim, HJ Yeo, Y Tae, K Cho, D Yoo, Y Lee European Respiratory Journal 62 (suppl 67), 2023 | | 2023 |
| A Validation of deep learning based early warning score to predict in-hospital cardiac arrest in patients admitted to general wards Y Lee, O Kwon, Y Lee, J Park, M Lee, R Ko, YH Jo 대한결핵및호흡기학회 추계학술발표초록집 127, 364-364, 2019 | | 2019 |
| TV Show 추천 방안들의 성능 분석 이연창， 조경재， 김상욱 한국정보과학회, 2019 | | 2019 |
Oyeon KwonVUNO Inc.在 vuno.co 的电子邮件经过验证
