Concepedia

Author

Shengpu Tang

University of MichiganORCID

Also Known As

Shengpu Tang, Tang, Shengpu

30

Publications

419

Citations

9

H-Index

15

Concepts

All Affiliations

University of MichiganMichigan Medicine
ST

About

Shengpu Tang is an author at University of Michigan specializing in predictive analytics, health policy, and machine learning.

Top Concepts

#ConceptH-IndexPublicationsCitations

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Engineering

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Medicine

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Public Health

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Data Science

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Health Informatics

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Shengpu Tang

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9

Publications

394

Citations

9

H-Index

YearCitations

Evaluating a Widely Implemented Proprietary Deterioration Index Model among Hospitalized Patients with COVID-19

Karandeep Singh, Thomas S. Valley, Shengpu Tang,

Annals of the American Thoracic Society

2020

98

Democratizing EHR analyses with FIDDLE: a flexible data-driven preprocessing pipeline for structured clinical data

Shengpu Tang, Parmida Davarmanesh, Yanmeng Song,

Journal of the American Medical Informatics Association

2020

87

Early identification of patients admitted to hospital for covid-19 at risk of clinical deterioration: model development and multisite external validation study

Fahad Kamran, Shengpu Tang, Erkin Ötleş,

BMJ

2022

58

Predicting Acute Graft-Versus-Host Disease Using Machine Learning and Longitudinal Vital Sign Data From Electronic Health Records

Shengpu Tang, Grant Chappell, Amanda Mazzoli,

JCO Clinical Cancer Informatics

2020

47

Evaluating a Widely Implemented Proprietary Deterioration Index Model Among Hospitalized COVID-19 Patients

Karandeep Singh, Thomas S. Valley, Shengpu Tang,

2020

25

Respecting Autonomy And Enabling Diversity: The Effect Of Eligibility And Enrollment On Research Data Demographics

Kayte Spector‐Bagdady, Shengpu Tang, Sarah Jabbour,

Health Affairs

2021

25

Model Selection for Offline Reinforcement Learning: Practical Considerations for Healthcare Settings

Shengpu Tang, Jenna Wiens

PubMed

2021

23

Predicting postoperative opioid use with machine learning and insurance claims in opioid-naïve patients

Jaewon Hur, Shengpu Tang, Vidhya Gunaseelan,

The American Journal of Surgery

2021

20

Clinician-in-the-Loop Decision Making: Reinforcement Learning with Near-Optimal Set-Valued Policies

Shengpu Tang, Aditya Modi, Michael W. Sjoding,

arXiv (Cornell University)

2020

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