Hybrid method incorporating a rule-based approach and deep learning for prescription error prediction S Lee, J Shin, HS Kim, MJ Lee, JM Yoon, S Lee, Y Kim, JY Kim, S Lee Drug safety 45 (1), 27-35, 2022 | 10 | 2022 |
Spectral decomposition of k-type nonwandering sets for Z2-actions D Kim, S Lee Bull. Korean Math. Soc 51 (2), 387-400, 2014 | 10 | 2014 |
Time to surgery and survival in breast cancer D An, J Choi, J Lee, JY Kim, S Kwon, J Kim, S Lee, S Jeon, C Lee, S Lee, ... BMC surgery 22 (1), 388, 2022 | 9 | 2022 |
Generic diffeomorphisms with robustly transitive sets M Lee, S Lee Communications of the Korean Mathematical Society 28 (3), 581-587, 2013 | 8 | 2013 |
Machine learning approaches for the prediction of prostate cancer according to age and the prostate-specific antigen level J Lee, SW Yang, S Lee, YK Hyon, J Kim, L Jin, JY Lee, JM Park, T Ha, ... The Korean Journal of Urological Oncology 17 (2), 110-117, 2019 | 6 | 2019 |
Continuum-wise expansive homeomorphisms with shadowing K Lee, S Lee Journal of The Chungcheong Mathematical Society 29 (1), 151-151, 2016 | 6 | 2016 |
Persistent actions on compact metric spaces J Ahn, K Lee, S Lee Journal of the Chungcheong Mathematical Society 30 (1), 61-66, 2017 | 5 | 2017 |
Expansive homoclinic classes of generic C 1-vector fields S Lee, J Park Acta Mathematica Sinica, English Series 32, 1451-1458, 2016 | 5 | 2016 |
Explainable Artificial Intelligence for Patient Safety: A Review of Application in Pharmacovigilance S Lee, S Kim, J Lee, JY Kim, MH Song, S Lee IEEE Access 11, 50830-50840, 2023 | 4 | 2023 |
Descriptors of atoms and structure information for predicting properties of crystalline materials J Lee, J Shin, TW Ko, S Lee, H Chang, YK Hyon Materials Research Express 8 (2), 026302, 2021 | 4 | 2021 |
HYPERBOLICITY OF HOMOCLINIC CLASSES OF VECTOR FIELDS K Lee, M Lee, S Lee Journal of the Australian Mathematical Society 98 (3), 375-389, 2015 | 4 | 2015 |
Applying Machine Learning Algorithms to Predict Potential Energies and Atomic Forces during CH Activation S Lee, HW Kim, J Im, SK Kim, YT Kim, H Chang, TW Ko, J Lee, YK Hyon Journal of the Korean Physical Society 77, 680-688, 2020 | 3 | 2020 |
Shadowable chain components and hyperbolicity M Lee, S Lee, J Park Bulletin of the Korean Mathematical Society 52 (1), 149-157, 2015 | 3 | 2015 |
Drug_SNSMiner: standard pharmacovigilance pipeline for detection of adverse drug reaction using SNS data S Lee, H Woo, CC Lee, G Kim, JY Kim, S Lee Scientific Reports 13 (1), 3779, 2023 | 2 | 2023 |
Explainable machine learning based a packed red blood cell transfusion prediction and evaluation for major internal medical condition S Lee, S Lee, D Chang, MH Song, JY Kim, S Lee Journal of Information Processing Systems 18 (3), 302-310, 2022 | 2 | 2022 |
Robust chain transitive vector fields M Lee, S Lee Asian-European Journal of Mathematics 8 (02), 1550026, 2015 | 1 | 2015 |
Hyperbolicity of chain transitive sets with limit shadowing A Fakhari, S Lee, K Tajbakhsh Bulletin of the Korean Mathematical Society 51 (5), 1259-1267, 2014 | 1 | 2014 |
Effective data quality management for electronic medical record data using SMART DATA S Lee, GH Roh, JY Kim, YH Lee, H Woo, S Lee International Journal of Medical Informatics 180, 105262, 2023 | | 2023 |
A Study on Drug Repositioning Clue Extraction Pipeline Based on Network Analysis in Social Network Services W Lee, S Lee, JY Kim, S Lee Journal of Health Informatics and Statistics 48 (2), 102-107, 2023 | | 2023 |
Adverse Drug Reaction Posts Detection with a Bi-LSTM based approach CC Lee, S Lee, MH Song, S Lee, JY Kim 2023 IEEE International Conference on Big Data and Smart Computing (BigComp …, 2023 | | 2023 |