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A machine learning approach for identifying predictors of success in a Medicaid-funded, community-based behavioral health program using the Child and Adolescent Needs and Strengths (CANS)

Publication ,  Journal Article
Troy, JD; Torrie, RM; Warner, DN
Published in: Children and Youth Services Review
July 2021

Duke Scholars

Published In

Children and Youth Services Review

DOI

ISSN

0190-7409

Publication Date

July 2021

Volume

126

Start / End Page

106010 / 106010

Publisher

Elsevier BV

Related Subject Headings

  • Social Work
  • 4410 Sociology
  • 4409 Social work
  • 1607 Social Work
  • 1402 Applied Economics
 

Citation

APA
Chicago
ICMJE
MLA
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Troy, J. D., Torrie, R. M., & Warner, D. N. (2021). A machine learning approach for identifying predictors of success in a Medicaid-funded, community-based behavioral health program using the Child and Adolescent Needs and Strengths (CANS). Children and Youth Services Review, 126, 106010–106010. https://doi.org/10.1016/j.childyouth.2021.106010
Troy, Jesse D., Ryan M. Torrie, and Daniel N. Warner. “A machine learning approach for identifying predictors of success in a Medicaid-funded, community-based behavioral health program using the Child and Adolescent Needs and Strengths (CANS).” Children and Youth Services Review 126 (July 2021): 106010–106010. https://doi.org/10.1016/j.childyouth.2021.106010.
Troy, Jesse D., et al. “A machine learning approach for identifying predictors of success in a Medicaid-funded, community-based behavioral health program using the Child and Adolescent Needs and Strengths (CANS).” Children and Youth Services Review, vol. 126, Elsevier BV, July 2021, pp. 106010–106010. Crossref, doi:10.1016/j.childyouth.2021.106010.
Journal cover image

Published In

Children and Youth Services Review

DOI

ISSN

0190-7409

Publication Date

July 2021

Volume

126

Start / End Page

106010 / 106010

Publisher

Elsevier BV

Related Subject Headings

  • Social Work
  • 4410 Sociology
  • 4409 Social work
  • 1607 Social Work
  • 1402 Applied Economics