Data Analytics with a Purpose

Improving Mental Health through Machine Learning

The Walsh Lab translates Healthcare Data to Action through Machine Learning and Decision Support for vulnerable populations like those with suicidality and mental illness.

Our research focuses on the application of data science to complex healthcare data to enable mental, behavioral, and population health. Our collaborators are internists, psychiatrists, psychologists, engineers, epidemiologists, statisticians, community case managers, mobile crisis teams, and more.

We translate our predictive algorithms through informatics and implementation science to the point-of-care. We have partnered with other research teams around the world to glean insights from these complex data to predict and prevent self-harm and to improve mental health.

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Media

AI tested for alerting clinicians of suicide risk at three VUMC clinics

January 3, 2025

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VUMC News

Can Digital Psychiatry Really Fill the Mental Health Care Gap?

May 12, 2023

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Smithsonian Magazine

What’s Next? New Pathways For Suicide Prevention

September 25, 2022

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Vanderbilt Discover DNA Podcast

Opioid overdoses more readily preventable with ensemble learning

October 28, 2021

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AI in Healthcare

    Stay up to date with the latest developments in our work in The Walsh Lab.
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    New Paper: Risk Model–Guided Clinical Decision Support for Suicide Screening

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    New Paper: Scalable incident detection via natural language processing and probabilistic language models

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    New Paper: Enhancing Suicide Risk Prediction Models with Temporal Clinical Note Features

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    New Paper: Completeness and readability of GPT-4-generated multilingual discharge instructions in the pediatric emergency department

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    Dr. Walsh Receives the Kevin B. Johnson Award for Outstanding Contributions to Research

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