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Neeraj Chhabra

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University of Illinois Chicago (UIC)

United States

Research Interests

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Recent Grants

Grant: Open

Machine learning approaches for the detection of emergency department patients with opioid misuse

Open Date: 2022-04-15

Close Date: 2027-03-31

Articles (18)

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Collaborators (7)

Joseph Bianco

University of Illinois Chicago (UIC)

UNITED STATES

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Michele O'Shea

Assistant Professor

Rush University Medical Center

UNITED STATES

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R. Andrew Taylor

Professor, Vice Chair of Research and Innovation

University of Virginia

UNITED STATES

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Mark Mycyk

Cook County Health and Hospitals System

UNITED STATES

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Natalie Parde

Assistant Professor

University of Chicago

UNITED STATES

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Gail D'Onofrio

Professor

Yale University

UNITED STATES

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Niranjan Karnik

The J. Usha Raj Professor

University of Chicago

UNITED STATES

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Neeraj Chhabra

Research Interests

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Recent Grants

Articles (18)

Development and evaluation of machine learning models for the detection of emergency department patients with opioid misuse from clinical notes

Machine learning models to detect opioid misuse in emergency department patients at triage

Responsiveness of the 2024-2030 ACMT Research Agenda to New Funding Priorities and Research Environment

The authors respond to reader comment regarding machine learning models to detect opioid misuse in emergency department patients at triage

When Metrics Replace Values: Ethical Concerns in Healthcare Performance Measures

Racial, ethnic, and sex disparities in buprenorphine treatment from emergency departments by discharge diagnosis

Stigmatizing Language in Substance Use-related International Classification of Diseases Codes.

Emergency department visits for undiagnosed pelvic organ prolapse

The National Poison data System®: a bibliographic review of publication trends and topic modeling using language models

Trends in Fomepizole Use for Acetaminophen Poisoning in the United States; 2013-2024

American College of Medical Toxicology Research Agenda 2024-2030.

Parsing Out Potential Language Barriers for Their Effects on Imaging

Performance of International Classification of Disease-10 codes in detecting emergency department patients with opioid misuse

Trends and Disparities in Initiation of Buprenorphine in US Emergency Departments, 2013-2022

Association of Patient English Proficiency and Diagnostic Imaging Acquisition in Emergency Department Patients with Abdominal Symptoms

Death by a Thousand Screens: A Practical Role for Machine Learning in Emergency Medicine

PRESENTATION OF CHILDREN AND ADOLESCENTS TO US EMERGENCY DEPARTMENTS FOR ALCOHOL AND SUBSTANCE USE PRE-AND POST-COVID-19

Previous exposure to violence among emergency department patients without trauma-related complaints: A cross sectional analysis

Collaborators (7)

Joseph Bianco

Michele O'Shea

R. Andrew Taylor

Mark Mycyk

Natalie Parde

Gail D'Onofrio

Niranjan Karnik

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