| 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, 2019 | 46 | 2019 |
| 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 | 34 | 2020 |
| 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 | 24 | 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, 2021 | 22 | 2021 |
| 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 | 15 | 2023 |
| 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, 2022 | 12 | 2022 |
| 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 | 10 | 2018 |
| 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 | 10 | 2017 |
| 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 | 7 | 2021 |
| 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 | 7 | 2020 |
| 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 | 5 | 2018 |
| Clustering Personalized 3D Printing Models with Multiple Modal CNN J Chen, L Zhang, X Dong Proceedings of 2017 Chinese Intelligent Systems Conference: Volume I, 703-712, 2018 | 1 | 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, F Wang arXiv preprint arXiv:2305.05722, 2023 | | 2023 |
| 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 UniversityDirección de correo verificada de stonybrook.edu
