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Xinyu Dong
Xinyu Dong
PhD Candidate, Stony Brook University
Verified email at stonybrook.edu
Title
Cited by
Cited by
Year
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
472019
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
342020
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
252021
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
242022
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
232021
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
202023
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
112018
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
102017
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
72021
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
72020
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
52018
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
12018
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
2024
FRISTS: INTERPRETABLE TIME SERIES-BASED HEART FAILURE RISK PREDICTION
S Lin, X Dong, F Wang
medRxiv, 2023.12. 20.23299867, 2023
2023
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