Machine learning-based prediction of persistent oppositional defiant behavior for 5 years

Nordic Journal of Psychiatry
Kyoung-Sae NaSeo-Eun Cho

Abstract

Early detection of oppositional defiant behavior is warranted for timely intervention in children at risk. This study aimed to build a predictive model of persistent oppositional defiant behavior based on a machine learning algorithm. With nationwide cohort data collected from 2012 to 2017, a tree-based ensemble model, random forest, was exploited to build a predictive model for persistent oppositional defiant behavior. The persistent oppositional defiant behavior was defined by the presence of oppositional defiant behavior for all the five years. The area under the receiver operating characteristic curve (AUC), overall accuracy, sensitivity, specificity, and Matthew's correlation coefficients (MCC) were measured. Data of 1,323 children were used for building the machine learning-based predictive model. The baseline mean ± standard deviation month-age of the participants was 51.0 ± 1.2 months. The proportion of persistent oppositional defiant behavior was 0.98% (13/1323). In the hold-out test set, the overall accuracy, AUC, sensitivity, specificity, and MCC were 0.955, 0.982, 1.000, 0.954, and 0.417, respectively. Our study demonstrated that the machine learning-based approach is useful for predicting persistent oppositional de...Continue Reading

References

Jan 1, 1966·Psychological Monographs·T M Achenbach
Sep 27, 2007·European Child & Adolescent Psychiatry·Khrista BoylanPeter Szatmari
Apr 20, 2010·The Australian and New Zealand Journal of Psychiatry·Florence Levy
Feb 2, 2011·Psychological Assessment·Edelyn VeronaJenessa Sprague
Nov 10, 2012·European Child & Adolescent Psychiatry·Monica BellinaMaria Nobile
Aug 28, 2013·Child Psychiatry and Human Development·Benjamin Rolon-ArroyoElizabeth A Harvey
Apr 3, 2015·Journal of Abnormal Child Psychology·Maartje BastenJan van der Ende
Aug 9, 2016·Journal of Child Psychology and Psychiatry, and Allied Disciplines·M J BakkerJ C Glennon
Oct 4, 2016·Pediatrics·Irene TungSteve S Lee
Jan 7, 2017·Journal of Child Psychology and Psychiatry, and Allied Disciplines·Amy J MikolajewskiWilliam G Iacono
Mar 7, 2017·Journal of Family Psychology : JFP : Journal of the Division of Family Psychology of the American Psychological Association (Division 43)·Ishien LiS Alexandra Burt
Dec 15, 2017·Psychology Research and Behavior Management·Abhishek GhoshAniruddha Basu
Jul 22, 2018·Twin Research and Human Genetics : the Official Journal of the International Society for Twin Studies·Jinni SuDanielle M Dick
Dec 13, 2018·Molecular Psychiatry·Irwin D WaldmanJeffrey D Burke
Jan 16, 2020·Epilepsy & Behavior : E&B·Francesca Felicia OpertoMaurizio Elia

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