| A multimodal transformer: Fusing clinical notes with structured ehr data for interpretable in-hospital mortality prediction W Lyu, X Dong, R Wong, S Zheng, K Abell-Hart, F Wang, C Chen AMIA Annual Symposium Proceedings 2022, 719, 2023 | 75 | 2023 |
| Machine learning based opioid overdose prediction using electronic health records X Dong, S Rashidian, Y Wang, J Hajagos, X Zhao, RN Rosenthal, J Kong, ... AMIA annual symposium proceedings 2019, 389, 2020 | 60 | 2020 |
| Detection of suicidality among opioid users on reddit: machine learning–based approach H Yao, S Rashidian, X Dong, H Duanmu, RN Rosenthal, F Wang Journal of medical internet research 22 (11), e15293, 2020 | 51 | 2020 |
| An integrated LSTM-HeteroRGNN model for interpretable opioid overdose risk prediction X Dong, R Wong, W Lyu, K Abell-Hart, J Deng, Y Liu, JG Hajagos, ... Artificial intelligence in medicine 135, 102439, 2023 | 41 | 2023 |
| Predicting opioid overdose risk of patients with opioid prescriptions using electronic health records based on temporal deep learning X Dong, J Deng, W Hou, S Rashidian, RN Rosenthal, M Saltz, JH Saltz, ... Journal of biomedical informatics 116, 103725, 2021 | 36 | 2021 |
| Identifying risk of opioid use disorder for patients taking opioid medications with deep learning X Dong, J Deng, S Rashidian, K Abell-Hart, W Hou, RN Rosenthal, ... Journal of the American Medical Informatics Association 28 (8), 1683-1693, 2021 | 33 | 2021 |
| Effective scalable and integrative geocoding for massive address datasets S Rashidian, X Dong, A Avadhani, P Poddar, F Wang Proceedings of the 25th acm sigspatial international conference on advances …, 2017 | 12 | 2017 |
| EaserGeocoder: integrative geocoding with machine learning (demo paper) S Rashidian, X Dong, SK Jain, F Wang Proceedings of the 26th acm sigspatial international conference on advances …, 2018 | 11 | 2018 |
| Detecting miscoded diabetes diagnosis codes in electronic health records for quality improvement: temporal deep learning approach S Rashidian, K Abell-Hart, J Hajagos, R Moffitt, V Lingam, V Garcia, ... JMIR medical informatics 8 (12), e22649, 2020 | 10 | 2020 |
| A large-scale observational study on the temporal trends and risk factors of opioid overdose: real-world evidence for better opioids J Deng, W Hou, X Dong, J Hajagos, M Saltz, J Saltz, F Wang Drugs-Real World Outcomes 8 (3), 393-406, 2021 | 8 | 2021 |
| Disease phenotyping using deep learning: A diabetes case study S Rashidian, J Hajagos, R Moffitt, F Wang, X Dong, K Abell-Hart, K Noel, ... arXiv preprint arXiv:1811.11818, 2018 | 7 | 2018 |
| Enhancing clinical predictive modeling through model complexity-driven class proportion tuning for class imbalanced data: an empirical study on opioid overdose prediction Y Liu, X Dong, W Lyu, RN Rosenthal, R Wong, T Ma, J Kong, F Wang AMIA Summits on Translational Science Proceedings 2024, 334, 2024 | 4 | 2024 |
| FRISTS: High-Performing Interpretable Medical Prediction S Lin, X Dong, F Wang 2024 IEEE International Conference on Big Data (BigData), 7359-7363, 2024 | | 2024 |
| Data Driven Interpretable Predictive Modeling with Electronic Health Records and Applications on Opioid Epidemic Prevention X Dong State University of New York at Stony Brook, 2024 | | 2024 |
| FRISTS: Interpretable Time Series-Based Heart Failure Risk Prediction S Lin, X Dong, F Wang medRxiv, 2023.12. 20.23299867, 2023 | | 2023 |
Fusheng WangStony Brook UniversityPreverjeni e-poštni naslov na stonybrook.edu
