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Shengpu Tang
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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
56*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
27*2020
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
142020
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
102020
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
10*2019
Early identification of patients admitted to hospital for covid-19 at risk of clinical deterioration: model development and multisite external validation study
F Kamran, S Tang, E Otles, DS McEvoy, SN Saleh, J Gong, BY Li, S Dutta, ...
BMJ 2022 (376), e068576, 2022
82022
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
72021
Model selection for offline reinforcement learning: Practical considerations for healthcare settings
S Tang, J Wiens
Machine Learning for Healthcare Conference, 2-35, 2021
72021
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
42021
MIMIC-III and eICU-CRD: Feature Representation by FIDDLE Preprocessing
S Tang, P Davarmanesh, Y Song, D Koutra, MW Sjoding, J Wiens
PhysioNet, 2021
2021
A BioHackathon on the challenges of aging: Rapid need-finding and solution modeling in a student-led event
J Ashton-Miller, L Baroudi, B Belmont, N Comandante-Lou, ...
Engineering Archive, 2019
2019
Leveraging Factored Action Spaces for Efficient Offline Reinforcement Learning in Healthcare
S Tang, M Makar, M Sjoding, F Doshi-Velez, J Wiens
Decision Awareness in Reinforcement Learning Workshop at ICML 2022, 0
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학술자료 1–12