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.
Applied Predictive Modeling
Clinical data science to solve challenging problems including suicide.
Informatics for Mental Health
Phenotyping for precision psychiatry and improving mental healthcare delivery through informatics.
Analytics for Value Based Care
Readmissions risk prediction, algorithms to measure Choosing Wisely and more.
Interview on AirTalk with Matthew Nock, Harvard, and host, Larry Mantle
September 15, 2018
Interview with First Author, Dr. Lindsey McKernan, on our Recent Study
September 30, 2018