Shengpu Tang

Assistant Professor

Emory University

United States

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About

Shengpu Tang is an Assistant Professor at Emory University in the United States. His research areas include the application of artificial intelligence in infection prevention, machine learning models for predicting patient outcomes, and the analysis of clinical data for enhanced healthcare decision-making. Recent articles authored by Professor Tang reflect his focus on leveraging technology to improve patient care and operational efficiency in hospital settings.

Articles (9)

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2025

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2025

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2024

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2022

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2021

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2021

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2020

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2020

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2020

Collaborators (2)

W. Nicholson Price II

University of Michigan

UNITED STATES

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A. Krishna Rao

Associate Professor

University of Michigan

UNITED STATES

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Shengpu Tang

Research Interests

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Articles (9)

Guiding Clostridioides difficile Infection Prevention Efforts in a Hospital Setting with AI

202. Targeting Clostridioides difficile Infection Prevention Efforts with Artificial Intelligence

Analysis of Complete Blood Count Data and Use in Classification Machine Learning Models to Predict Icans Incidence Following CAR-T Cell Therapy

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

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

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

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

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

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

Collaborators (2)

W. Nicholson Price II

A. Krishna Rao

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