| Machine learning–based model for prediction of outcomes in acute stroke JN Heo, JG Yoon, H Park, YD Kim, HS Nam, JH Heo Stroke 50 (5), 1263-1265, 2019 | 408 | 2019 |
| An easy-to-use machine learning model to predict the prognosis of patients with COVID-19: retrospective cohort study HJ Kim, D Han, JH Kim, D Kim, B Ha, W Seog, YK Lee, D Lim, SO Hong, ... Journal of medical Internet research 22 (11), e24225, 2020 | 61 | 2020 |
| Prediction of patients requiring intensive care for COVID-19: development and validation of an integer-based score using data from Centers for Disease Control and Prevention of … JN Heo, D Han, HJ Kim, D Kim, YK Lee, D Lim, SO Hong, MJ Park, B Ha, ... Journal of intensive care 9, 1-9, 2021 | 42 | 2021 |
| Development of smartphone application that aids stroke screening and identifying nearby acute stroke care hospitals HS Nam, JN Heo, J Kim, YD Kim, TJ Song, E Park, JH Heo Yonsei medical journal 55 (1), 25, 2014 | 42 | 2014 |
| Intensive vs conventional blood pressure lowering after endovascular thrombectomy in acute ischemic stroke: the OPTIMAL-BP randomized clinical trial HS Nam, YD Kim, JN Heo, H Lee, JW Jung, JK Choi, IH Lee, IH Lim, ... Jama 330 (9), 832-842, 2023 | 27 | 2023 |
| Immediate and long-term outcomes of reperfusion therapy in patients with cancer J Yoo, YD Kim, H Park, BM Kim, OY Bang, HC Kim, E Han, DJ Kim, J Heo, ... Stroke 52 (6), 2026-2034, 2021 | 26 | 2021 |
| Impact of sarcopenia on functional outcomes among patients with mild acute ischemic stroke and transient ischemic attack: a retrospective study H Lee, IH Lee, JN Heo, M Baik, H Park, HS Lee, HS Nam, YD Kim Frontiers in Neurology 13, 841945, 2022 | 20 | 2022 |
| COVID-19 outcome prediction and monitoring solution for military hospitals in South Korea: Development and evaluation of an application JN Heo, JA Park, D Han, HJ Kim, D Ahn, B Ha, W Seog, YR Park Journal of medical Internet research 22 (11), e22131, 2020 | 20 | 2020 |
| Risks and benefits of early rhythm control in patients with acute strokes and atrial fibrillation: a multicenter, prospective, randomized study (the RAFAS trial) J Park, J Shim, JM Lee, JK Park, JN Heo, Y Chang, TJ Song, DH Kim, ... Journal of the American Heart Association 11 (3), e023391, 2022 | 16 | 2022 |
| Machine learning-based diagnosis for disseminated intravascular coagulation (DIC): Development, external validation, and comparison to scoring systems JG Yoon, JN Heo, M Kim, YJ Park, MH Choi, J Song, K Wyi, H Kim, ... PLoS One 13 (5), e0195861, 2018 | 15 | 2018 |
| Prediction of hidden coronary artery disease using machine learning in patients with acute ischemic stroke JN Heo, J Yoo, H Lee, IH Lee, JS Kim, E Park, YD Kim, HS Nam Neurology 99 (1), e55-e65, 2022 | 10 | 2022 |
| Prediction of early recanalization after intravenous thrombolysis in patients with large-vessel occlusion YD Kim, HS Nam, J Yoo, H Park, SI Sohn, JH Hong, BM Kim, DJ Kim, ... Journal of Stroke 23 (2), 244, 2021 | 10 | 2021 |
| A patient self-checkup app for COVID-19: development and usage pattern analysis JN Heo, MD Sung, S Yoon, J Jang, W Lee, D Han, HJ Kim, HK Kim, ... Journal of medical Internet research 22 (11), e19665, 2020 | 10 | 2020 |
| Improving the clinical outcome in stroke patients receiving thrombolytic or endovascular treatment in Korea: from the SECRET study YD Kim, JH Heo, J Yoo, H Park, BM Kim, OY Bang, HC Kim, E Han, ... Journal of Clinical Medicine 9 (3), 717, 2020 | 10 | 2020 |
| Machine learning-based model can predict stroke outcome JN Heo, J Yoon, HJ Park, YD Kim, HS Nam, JH Heo Stroke 49 (Suppl_1), A194-A194, 2018 | 10 | 2018 |
| Care process of recanalization therapy for acute stroke during the COVID-19 outbreak in South Korea YD Kim, HS Nam, SI Sohn, H Park, JH Hong, GS Kim, KD Seo, J Yoo, ... Journal of Clinical Neurology (Seoul, Korea) 17 (1), 63, 2021 | 7 | 2021 |
| Association between blood viscosity and early neurological deterioration in lacunar infarction H Lee, JN Heo, IH Lee, YD Kim, HS Nam Frontiers in Neurology 13, 979073, 2022 | 6 | 2022 |
| Automated composition analysis of thrombus from endovascular treatment in acute ischemic stroke using computer vision JN Heo, Y Seog, H Lee, IH Lee, S Kim, JH Baek, H Park, KD Seo, GS Kim, ... Journal of Stroke 24 (3), 433, 2022 | 5 | 2022 |
| Association between CHADS2, CHA2DS2-VASc, ATRIA, and Essen Stroke Risk Scores and Unsuccessful Recanalization after Endovascular Thrombectomy in … HJ Kim, MS Park, J Yoo, YD Kim, H Park, BM Kim, OY Bang, HC Kim, ... Journal of Clinical Medicine 11 (1), 274, 2022 | 5 | 2022 |
| Impact of renal function on short-term outcome after reperfusion therapy in patients with ischemic stroke H Park, YD Kim, HS Nam, J Yoo, SI Sohn, JH Hong, BM Kim, DJ Kim, ... Stroke 53 (12), 3622-3632, 2022 | 4 | 2022 |
