Machine learning to classify suicidal thoughts and behaviors: Implementation within the common data elements used by the military suicide research consortium.

Andrew Littlefield; J T Cooke; C Bagge; C Glenn; R Jacobucci; A J Millner

doi:10.1177/2167702620961067

Machine learning to classify suicidal thoughts and behaviors: Implementation within the common data elements used by the military suicide research consortium.

Andrew Littlefield, J T Cooke, C Bagge, C Glenn, R Jacobucci, A J Millner

Psychological Sciences

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	467-481
Journal	Clinical psychological science
DOIs	https://doi.org/10.1177/2167702620961067
State	Published - 2021

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title = "Machine learning to classify suicidal thoughts and behaviors: Implementation within the common data elements used by the military suicide research consortium.",

author = "Andrew Littlefield and Cooke, {J T} and C Bagge and C Glenn and R Jacobucci and Millner, {A J}",

year = "2021",

doi = "10.1177/2167702620961067",

language = "English",

pages = "467--481",

journal = "Clinical psychological science",

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T1 - Machine learning to classify suicidal thoughts and behaviors: Implementation within the common data elements used by the military suicide research consortium.

AU - Littlefield, Andrew

AU - Cooke, J T

AU - Bagge, C

AU - Glenn, C

AU - Jacobucci, R

AU - Millner, A J

PY - 2021

Y1 - 2021

U2 - 10.1177/2167702620961067

DO - 10.1177/2167702620961067

M3 - Article

SP - 467

EP - 481

JO - Clinical psychological science

JF - Clinical psychological science

ER -

Machine learning to classify suicidal thoughts and behaviors: Implementation within the common data elements used by the military suicide research consortium.

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