Studying Mental Illness and Suicidal Risk with Machine Learning

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Date
2021-11-01
Main contributors
Walton, Betty; Hong, Saahoon; Smith, Kenny
Summary
Dr. Betty Walton and Dr. Saahoon Hong are researchers and professors at Indiana University’s School of Social Work who are using machine learning — data analysis that automates analytical model building — to study almost 30,000 cases of adults using about 100 variables in a decade-long longitudinal study.

This innovative research is built off anonymized data from the Adult Needs and Strengths Assessment and is aimed at helping those coping with mental health issues, identify intersections mental health illness and suicidal ideation and develop a suicidal prevention/recovery model within the mental health system. 

Walton bio: https://socialwork.iu.edu/FacultyAndStaff/profile.php?id=Walton_Betty_beawalto

Hong bio: https://socialwork.iu.edu/faculty-staff/profile/hong_saahoon/

Their research: 
https://scholarworks.iupui.edu/bitstream/handle/1805/26724/Hong2021Examining-the-intersection.pdf?sequence=4&isAllowed=y

This audio: 
https://soundcloud.com/on-topic-with-iu/on-topic-with-iu-studying-mental-illness-and-suicidal-risk-with-machine-learning
Publisher
The Media School at Indiana University
Genre
Interview
Subjects
Mental illness; Machine learning; Suicide--Risk factors
Locations
Bloomington; Indiana
Collection
On Topic with IU Podcast
Unit
The Media School
Language
English
Rights Statement
In Copyright
Other Identifier
Other: MSA.OTIU.00057

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This item is accessible by: the public.