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Journal of Technology in Human Services Volume 21, 2003 - Issue 4
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Original Articles

Predicting Child Physical Abuse Recurrence: Comparison of a Neural Network to Logistic Regression

Dr. Christopher W. Flaherty PhD Eglin Air Force Base, Family Practice Residency Program, 101B Birch Circle, Eglin AFB, FL, 32542 E-mail: [email protected]
&
David A. Patterson College of Social Work, The University of Tennessee, Knoxville, TN, 37996-3333 E-mail: [email protected]
Pages 93-111 | Received 14 Jun 2002, Accepted 27 Sep 2002, Published online: 08 Sep 2008

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Lauri Goldkind, Lea Wolf & Walter LaMendola. (2021) Data justice: social work and a more just future. Journal of Community Practice 29:3, pages 237-256.
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Articles from other publishers (5)

Anibal T. S. Osses & A. S. Ricardo Fernandes. (2022) An Approach Based on Feature Engineering and Machine Learning for the Prediction of Child Violence. An Approach Based on Feature Engineering and Machine Learning for the Prediction of Child Violence.
Yuzhang Han, Minoo Modaresnezhad & Hamid Nemati. (2021) An Adaptive Machine Learning System for predicting recurrence of child maltreatment: A routine activity theory perspective. Knowledge-Based Systems 227, pages 107164.
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Jesse Russell. (2015) Predictive analytics and child protection: Constraints and opportunities. Child Abuse & Neglect 46, pages 182-189.
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Cretson Leo Dalmadge & Monica Cain. (2014) U.S. Counties’ Vulnerability to Methamphetamine Labs. Journal of Drug Issues 45:2, pages 118-132.
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Richard J. Gelles & Rebecca Brigham. 2011. Children's Testimony. Children's Testimony 403 421 .

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