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Shengpu Tang
Shengpu Tang
Assistant Professor of Computer Science, Emory University
Zweryfikowany adres z emory.edu - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
Evaluating a widely implemented proprietary deterioration index model among hospitalized patients with COVID-19
K Singh, TS Valley, S Tang, BY Li, F Kamran, MW Sjoding, J Wiens, ...
Annals of the American Thoracic Society 18 (7), 1129-1137, 2021
111*2021
Democratizing EHR analyses with FIDDLE: a flexible data-driven preprocessing pipeline for structured clinical data
S Tang, P Davarmanesh, Y Song, D Koutra, MW Sjoding, J Wiens
Journal of the American Medical Informatics Association 27 (12), 1921-1934, 2020
922020
Model selection for offline reinforcement learning: Practical considerations for healthcare settings
S Tang, J Wiens
Machine Learning for Healthcare Conference, 2-35, 2021
862021
Early identification of patients admitted to hospital for covid-19 at risk of clinical deterioration: model development and multisite external validation study
S Tang, F Kamran, E Otles, DS McEvoy, SN Saleh, J Gong, BY Li, S Dutta, ...
BMJ 2022 (376), e068576, 2022
502022
Predicting acute graft-versus-host disease using machine learning and longitudinal vital sign data from electronic health records
S Tang, GT Chappell, A Mazzoli, M Tewari, SW Choi, J Wiens
JCO clinical cancer informatics 4, 128-135, 2020
382020
Leveraging Factored Action Spaces for Efficient Offline Reinforcement Learning in Healthcare
S Tang, M Makar, M Sjoding, F Doshi-Velez, J Wiens
Advances in Neural Information Processing Systems, 2022
342022
Clinician-in-the-loop decision making: Reinforcement learning with near-optimal set-valued policies
S Tang, A Modi, M Sjoding, J Wiens
International Conference on Machine Learning, 9387-9396, 2020
302020
Respecting Autonomy And Enabling Diversity: The Effect Of Eligibility And Enrollment On Research Data Demographics
S Tang, K Spector-Bagdady, S Jabbour, WN Price, A Bracic, MS Creary, ...
Health Affairs 40 (12), 1892-1899, 2021
222021
Relaxed parameter sharing: effectively modeling time-varying relationships in clinical time-series
J Oh, J Wang, S Tang, MW Sjoding, J Wiens
Machine Learning for Healthcare Conference, 27-52, 2019
19*2019
Predicting postoperative opioid use with machine learning and insurance claims in opioid-naïve patients
S Tang, J Hur, V Gunaseelan, J Vu, CM Brummett, M Englesbe, J Waljee, ...
The American Journal of Surgery, 2021
142021
MIMIC-III and eICU-CRD: Feature Representation by FIDDLE Preprocessing
S Tang, P Davarmanesh, Y Song, D Koutra, MW Sjoding, J Wiens
PhysioNet, 2021
42021
Machine learning for health (ML4H) 2022
A Parziale, M Agrawal, S Tang, K Severson, L Oala, A Subbaswamy, ...
Machine Learning for Health, 1-11, 2022
32022
Machine Learning for Health symposium 2022 -- Extended Abstract track
A Parziale, M Agrawal, S Joshi, IY Chen, S Tang, L Oala, A Subbaswamy
arXiv preprint arXiv:2211.15564, 2022
22022
Towards Data-Driven Offline Simulations for Online Reinforcement Learning
S Tang, FV Frujeri, D Misra, A Lamb, J Langford, P Mineiro, S Kochman
3rd Offline Reinforcement Learning Workshop at NeurIPS 2022, 2022
22022
Machine Learning for Health (ML4H) 2023
S Hegselmann, A Parziale, D Shanmugam, S Tang, K Severson, ...
Machine Learning for Health (ML4H), 1-12, 2023
12023
Leveraging Factored Action Spaces for Off-Policy Evaluation
A Rebello, S Tang, J Wiens, S Parbhoo
arXiv preprint arXiv:2307.07014, 2023
12023
Counterfactual-Augmented Importance Sampling for Semi-Offline Policy Evaluation
S Tang, J Wiens
Advances in Neural Information Processing Systems 36, 2023
12023
Analysis of Complete Blood Count Data and Use in Classification Machine Learning Models to Predict Icans Incidence Following CAR-T Cell Therapy
M Olesnavich, E Sandford, A Ly, A Canbaz, M Rozwadowski, ...
Transplantation and Cellular Therapy, Official Publication of the American …, 2024
2024
Towards Clinically Applicable Reinforcement Learning
S Tang
University of Michigan, 2024
2024
Machine Learning for Health symposium 2023--Findings track
S Hegselmann, A Parziale, D Shanmugam, S Tang, MN Asiedu, S Chang, ...
arXiv preprint arXiv:2312.00655, 2023
2023
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