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Mary Morrison Saltz
Mary Morrison Saltz
Unknown affiliation
Verified email at stonybrookmedicine.edu
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Year
Association of proteinuria and hematuria with acute kidney injury and mortality in hospitalized patients with COVID-19
I Chaudhri, R Moffitt, E Taub, RR Annadi, M Hoai, O Bolotova, J Yoo, ...
Kidney and Blood Pressure Research 45 (6), 1018-1032, 2020
692020
Towards generation, management, and exploration of combined radiomics and pathomics datasets for cancer research
J Saltz, J Almeida, Y Gao, A Sharma, E Bremer, T DiPrima, M Saltz, ...
AMIA Summits on Translational Science Proceedings 2017, 85, 2017
632017
A containerized software system for generation, management, and exploration of features from whole slide tissue images
J Saltz, A Sharma, G Iyer, E Bremer, F Wang, A Jasniewski, T DiPrima, ...
Cancer research 77 (21), e79-e82, 2017
592017
Social media based analysis of opioid epidemic using Reddit
S Pandrekar, X Chen, G Gopalkrishna, A Srivastava, M Saltz, J Saltz, ...
AMIA Annual Symposium Proceedings 2018, 867, 2018
582018
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
462019
Association of early aspirin use with in-hospital mortality in patients with moderate COVID-19
JH Chow, A Rahnavard, M Gomberg-Maitland, R Chatterjee, P Patodi, ...
JAMA network open 5 (3), e223890-e223890, 2022
442022
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
352020
Stony brook university covid-19 positive cases
J Saltz, M Saltz, P Prasanna, R Moffitt, J Hajagos, E Bremer, J Balsamo, ...
the cancer imaging archive 4, 2021
342021
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
252019
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
Learning topological interactions for multi-class medical image segmentation
S Gupta, X Hu, J Kaan, M Jin, M Mpoy, K Chung, G Singh, M Saltz, T Kurc, ...
European Conference on Computer Vision, 701-718, 2022
222022
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
222021
Glycemic control and clinical outcomes in US patients with COVID-19: data from the National COVID Cohort Collaborative (N3C) database
R Wong, M Hall, R Vaddavalli, A Anand, N Arora, CT Bramante, V Garcia, ...
Diabetes care 45 (5), 1099-1106, 2022
212022
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
212019
Large-scale analysis of opioid poisoning related hospital visits in New York State
X Chen, Y Wang, X Yu, E Schoenfeld, M Saltz, J Saltz, F Wang
AMIA annual symposium proceedings 2017, 545, 2017
202017
Geospatial distribution and predictors of mortality in hospitalized patients with COVID-19: a cohort study
Open Forum Infectious Diseases 7 (10), ofaa436, 2020
182020
Spatio-temporal analysis for New York State SPARCS data
X Chen, Y Wang, E Schoenfeld, M Saltz, J Saltz, F Wang
AMIA summits on translational science proceedings 2017, 483, 2017
162017
Risk for stillbirth among pregnant individuals with SARS-CoV-2 infection varied by gestational age
T Lyu, C Liang, J Liu, P Hung, J Zhang, B Campbell, N Ghumman, ...
American journal of obstetrics and gynecology 229 (3), 288. e1-288. e13, 2023
102023
Serverless OpenHealth at data commons scale—traversing the 20 million patient records of New York’s SPARCS dataset in real-time
JS Almeida, J Hajagos, J Saltz, M Saltz
PeerJ 7, e6230, 2019
102019
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
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