Jihad Obeid

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Professor

Medical University of South Carolina

United States

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About

Jihad Obeid is a Professor at the Medical University of South Carolina, United States. His research areas include the application of artificial intelligence in healthcare, particularly in predicting suicidal behavior, analyzing multimorbidity in populations, and improving clinical workflows through natural language processing. Recent articles authored by him highlight innovations in telehealth, electronic health records, and the intersection of social determinants of health with mental health research.

Recent Grants

Grant: Close

Data-Driven Methods to Identify Social Determinants of Health

Open Date: 2021-10-01

Close Date: 2025-09-30

Grant: Close

The Stakeholders, Technology and Researchers (STAR) Clinical Research Network: Phase 3

Open Date: 2021-09-01

Close Date: 2023-10-31

Grant: Close

Leveraging deep learning and clinical notes for surveillance and prediction of intentional self-harm and suicide

Open Date: 2021-05-01

Close Date: 2022-04-30

Grant: Close

The Stakeholders, Technology, and Research Clinical Research Network (STAR CRN)

Open Date: 2020-01-01

Close Date: 2021-02-28

Grant: Close

Enhancing Infrastructure for Clinical and Translational Research to Address the Opioid Epidemic

Open Date: 2019-08-06

Close Date: 2024-06-30

Articles (17)

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2021

Collaborators (14)

N. C. Hubig

UNITED STATES

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Jeffery C Talbert

University of Kentucky

UNITED STATES

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William Duncan

Clinical Associate Professor

University of Florida

UNITED STATES

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Saif Khairat

AssociateProfessor

University of North Carolina

UNITED STATES

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Stefan Schulz

Medical University of Graz

AUSTRIA

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Selja Seppälä

Lecturer

University College Cork

IRELAND

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Saeed Hassanpour

UNITED STATES

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Øystein Nytrø

Associate professor

Norwegian University of Science and Technology

NORWAY

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Patrick Alba

University of Utah

UNITED STATES

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Paul Heider

Assistant Professor

Medical University of South Carolina

UNITED STATES

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Youngjun Kim

Ohio State University

UNITED STATES

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Alexander Alekseyenko

Professor

Medical University of South Carolina

UNITED STATES

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Ralph Ward

Research Assistant Professor

Medical University of South Carolina

UNITED STATES

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Xia Jing

Associate Professor

Clemson University

UNITED STATES

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Jihad Obeid

Research Interests

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About

Recent Grants

Articles (17)

Leveraging artificial intelligence for clinical study matching: Key threads for interweaving data science and implementation science. (Preprint)

Multimorbidity Burden in Veterans with and Without Type 2 Diabetes Mellitus: A Comparative Retrospective Cohort Study

Natural Language Processing and Social Determinants of Health in Mental Health Research: AI-Assisted Scoping Review

Effectiveness of Telehealth Versus In-Person Informed Consent: Randomized Study of Comprehension and Decision-Making

Classifying Stereotactic Radiosurgery Patients by Primary Diagnosis Using Natural Language Processing of Clinical Notes

Automated detection and prediction of suicidal behavior from clinical notes using deep learning

Association Between Unplanned 30-Day Hospital Readmission, Smoking Status, and Exposure to an Inpatient Tobacco Treatment Program

Overcoming recruitment hurdles in clinical trials: An investigation of remote consenting modalities and their impact on workload, workflow, and usability

Red Flag/Blue Flag visualization of a common CNN for text classification

Enhanced phenotypes for identifying opioid overdose in emergency department visit electronic health record data

Improving the Quality and Utility of Electronic Health Record Data through Ontologies

The effectiveness of a noninterruptive alert to increase prescription of take-home naloxone in emergency departments

Enhancing research data infrastructure to address the opioid epidemic: the Opioid Overdose Network (O2-Net)

Natural language processing enabling COVID-19 predictive analytics to support data-driven patient advising and pooled testing

Assessing quality and agreement of structured data in automatic versus manual abstraction of the electronic health record for a clinical epidemiology study

Research Integrated Network of Systems (RINS): a virtual data warehouse for the acceleration of translational research

Feasibility and Impact of the Combined Application of Coronary CT Angiography with the HEART Pathway in Patients with Suspected Acute Coronary Syndrome.

Collaborators (14)

N. C. Hubig

Jeffery C Talbert

William Duncan

Saif Khairat

Stefan Schulz

Selja Seppälä

Saeed Hassanpour

Øystein Nytrø

Patrick Alba

Paul Heider

Youngjun Kim

Alexander Alekseyenko

Ralph Ward

Xia Jing

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