Sina Rashidian
Sina Rashidian
Verily (ex. Google Life Sciences)
Verified email at - Homepage
Cited by
Cited by
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
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
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
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
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
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
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
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
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
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
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, ...
27th International Conference on Intelligent User Interfaces, 470-482, 2022
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
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
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
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
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
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
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
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
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
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