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Mohammed Al-Garadi

Research Assistant Professor

Vanderbilt University Medical Center

United States

Research Interests

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Dr. Mohammed Al-Garadi is a Research Assistant Professor at Vanderbilt University Medical Center in the United States. His research focuses on the application of natural language processing and machine learning in health-related contexts, including the analysis of social media data for public health insights. Recent publications highlight his work on automated extraction of health data, the detection of fraudulent products, and demographic analysis related to prescription medication use.

Articles (10)

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2025

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2025

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2023

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2023

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2023

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2022

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2022

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2022

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2022

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2022

Collaborators (4)

Paul Chan

UNITED STATES

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Abeed Sarker

Associate Professor

Emory University

UNITED STATES

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Saket Girotra

Associate Professor

University of Texas Southwestern Medical Center

UNITED STATES

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Michael Matheny

Associate Professor

Vanderbilt University Medical Center

UNITED STATES

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Mohammed Al-Garadi

Research Interests

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Articles (10)

Automated Extraction of Mortality Information From Publicly Available Sources Using Large Language Models: Development and Evaluation Study

Long‐Term Outcomes of Peripheral Artery Disease in Veterans: Analysis of the Peripheral Artery Disease Long‐Term Survival Study (PEARLS)

Few-shot learning for medical text: A review of advances, trends, and opportunities

The Early Detection of Fraudulent COVID-19 Products From Twitter Chatter: Data Set and Baseline Approach Using Anomaly Detection

Can accurate demographic information about people who use prescription medications nonmedically be derived from Twitter?

Evidence of the emergence of illicit benzodiazepines from online drug forums

The Role of Natural Language Processing during the COVID-19 Pandemic: Health Applications, Opportunities, and Challenges

Natural language model for automatic identification of Intimate Partner Violence reports from Twitter

A comparison of few-shot and traditional named entity recognition models for medical text.

Large-Scale Social Media Analysis Reveals Emotions Associated with Nonmedical Prescription Drug Use

Collaborators (4)

Paul Chan

Abeed Sarker

Saket Girotra

Michael Matheny

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