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

Interview with Johns Hopkins Professionals In Health Podcast Series

December 12, 2020

Hear the Interview

PIHPS

Interview on AirTalk with Benedict Carey of The New York Times, Dr. Jodi Halpern of UC Berkeley, and host, Larry Mantle

December 2, 2020

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NPR AirTalk

In Search of a Solution to Suicide

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Vanderbilt Medicine, Spring 2020

Interview on AirTalk with Matthew Nock, Harvard, and host, Larry Mantle

 

September 15, 2018

Hear the Interview

NPR AirTalk

Interview with First Author, Dr. Lindsey McKernan, on our Recent Study

 

September 30, 2018

 

See the Interview

 

YouTube with VUMC Reporter

    Stay up to date with the latest developments in our work in The Walsh Lab.
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    Carrie Reale Honored with the Harriet H. Werley Award at the AMIA 2020 Virtual Annual Symposium

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    Upcoming Virtual Panel – Health, AI, and the Internet of Things

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    New Research Letter – Rapid Supportive Response to a Traumatic “Zoombombing” During the COVID-19 Pandemic

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    New Grant – Improving Understanding of Genetic and Clinical Risk of Suicidality with Natural Language Processing and Probabilistic Phenotyping

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