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

The Undiscovered Country – Can Suicide Be Predicted? 

August 2021

Read the Article

Harper’s Magazine

Screening Algorithm Flags Patients At Risk of Suicide

March 22, 2021

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Diagnostics World News

Artificial Intelligence System Calculates Suicide Attempt Risk – Here’s How It Performed

March 12, 2021

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SciTechDaily

Guest on Informatics in the Round with Dr. Kevin B. Johnson — COVID and the Hidden Data Gap

February 6, 2021

Hear the Episode

Informatics in the Round

Interview with Johns Hopkins Professionals In Health Podcast Series

December 12, 2020

Hear the Interview

PIHPS

    Stay up to date with the latest developments in our work in The Walsh Lab.
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    New Project – Predicting and Preventing Suicide in Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) in the COVID Era

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    Upcoming Panel – The Intersection of Value and AI: Where Machines Can Make a Difference, 5/13/21

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    New Paper: Prospective Validation of an Electronic Health Record–Based, Real-Time Suicide Risk Model

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    New Project — Improving probabilistic phenotyping of incident outcomes through enhanced ascertainment with natural language processing

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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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