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The limited value of machine learning approach to improving predictive performance

The Ministry of Justice Case Assessment Tool

Bibliographic Data

ID12434129
AuthorsTakemi Mori (0009-0008-8294-9143, corresponding author), Kyoko Harada, Mayuko Yamaki (0000-0001-6110-6034), Masatoshi Yamaguchi (0000-0003-2303-0280)
Year2024
Volume30
Issue2
Pages171-178
Publication date2024-04-15
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenuePsychology Public Policy and Law (JOURNAL)
Journal identifiersISSN: 1076-8971 • E-ISSN: 1939-1528
PublisherAmerican Psychological Association (PUBLISHER • US)
DOI10.1037/law0000421
OpenAlexW4394832913
LanguageEN
Citations received2

Christian ministry · Economic Justice · Machine learning · Political science · Predictive value · Value (mathematics · Artificial Intelligence in Healthcare and Education · Computer Science · Law · Medicine · Occupational Health and Safety Research · Artificial Intelligence

  • Selecting Items to Compose a Brief Version of the Youth Level of Service/Case Management Inventory Using Machine Learning, Sparse Modeling

    Open Access•Takemi Mori, Yoshikazu Shimada•Criminal Justice and Behavior•2025

  • Dynamic developmental risk factors and juvenile risk-need assessments in Japan

    Open Access•Akihiro Nasu, Emi Saito et al.•Journal of Criminal Justice•2025

Unique citing works2
Citations per year2
Citation span2025 - 2025 (1)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 2

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