| 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 | 59 | 2020 |
| SMOOTH-GAN: towards sharp and smooth synthetic EHR data generation S Rashidian, F Wang, R Moffitt, V Garcia, A Dutt, W Chang, V Pandya, ... Artificial Intelligence in Medicine: 18th International Conference on …, 2020 | 54 | 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 | 49 | 2020 |
| Distance Metric Learning for Complex Networks: Towards Size-Independent Comparison of Network Structures S Aliakbary, S Motallebi, S Rashidian, J Habibi, A Movaghar Chaos: An Interdisciplinary Journal of Nonlinear Science 25 (2), 2015 | 40 | 2015 |
| 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 | 34 | 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 |
| An objective framework for evaluating unrecognized bias in medical AI models predicting COVID-19 outcomes H Estiri, ZH Strasser, S Rashidian, JG Klann, KB Wagholikar, ... Journal of the American Medical Informatics Association 29 (8), 1334-1341, 2022 | 30 | 2022 |
| Deep learning on electronic health records to improve disease coding accuracy S Rashidian, J Hajagos, RA Moffitt, F Wang, KM Noel, RR Gupta, ... AMIA Summits on Translational Science Proceedings 2019, 620, 2019 | 29 | 2019 |
| Eyesaycorrect: Eye gaze and voice based hands-free text correction for mobile devices M Zhao, H Huang, Z Li, R Liu, W Cui, K Toshniwal, A Goel, A Wang, ... Proceedings of the 27th International Conference on Intelligent User …, 2022 | 22 | 2022 |
| Geographic, temporal, and sociodemographic differences in opioid poisoning ER Schoenfeld, GS Leibowitz, Y Wang, X Chen, W Hou, S Rashidian, ... American journal of preventive medicine 57 (2), 153-164, 2019 | 21 | 2019 |
| Bayesgaze: A bayesian approach to eye-gaze based target selection Z Li, M Zhao, Y Wang, S Rashidian, F Baig, R Liu, W Liu, ... Proceedings. Graphics Interface (Conference) 2021, 231, 2021 | 17 | 2021 |
| Glancewriter: Writing text by glancing over letters with gaze W Cui, R Liu, Z Li, Y Wang, A Wang, X Zhao, S Rashidian, F Baig, ... Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems …, 2023 | 15 | 2023 |
| Generating longitudinal synthetic ehr data with recurrent autoencoders and generative adversarial networks S Sun, F Wang, S Rashidian, T Kurc, K Abell-Hart, J Hajagos, W Zhu, ... Heterogeneous Data Management, Polystores, and Analytics for Healthcare …, 2021 | 13 | 2021 |
| Noise-tolerant model selection and parameter estimation for complex networks S Aliakbary, S Motallebi, S Rashidian, J Habibi, A Movaghar Physica a: Statistical mechanics and its applications 427, 100-112, 2015 | 13 | 2015 |
| 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 |
| Where opioid overdose patients live far from treatment: geospatial analysis of underserved populations in New York state K Abell-Hart, S Rashidian, D Teng, RN Rosenthal, F Wang JMIR Public Health and Surveillance 8 (4), e32133, 2022 | 10 | 2022 |
| 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 |
| 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 | 9 | 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 | 6 | 2018 |
| A large-scale retrospective study of opioid poisoning in New York State with implications for targeted interventions X Chen, W Hou, S Rashidian, Y Wang, X Zhao, GS Leibowitz, ... Scientific reports 11 (1), 5152, 2021 | 4 | 2021 |
Fusheng WangStony Brook UniversityПодтвержден адрес электронной почты в домене stonybrook.edu