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

Journal: Nordic journal of psychiatry

PMID: 32689863

Abstract

BACKGROUND: 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.

Authors

Kyoung-Sae Na

Department of Psychiatry, Gachon University Gil Medical Center, Incheon, Republic of Korea. Electronic address: ksna13@gachon.ac.kr.
Zong Woo Geem

Department of Energy and Information Technology, Gachon University, Seongnam-si, Republic of Korea.
Seo-Eun Cho

Department of Psychiatry, Gachon University College of Medicine, Gil Medical Center, Incheon, Republic of Korea.

Keywords

Attention Deficit and Disruptive Behavior Disorders Child Child, Preschool Cohort Studies Humans Machine Learning Sensitivity and Specificity

External Resources

View on PubMed Access via DOI PubMed (32689863)

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

Abstract

Authors

Keywords

External Resources

Popular Topics

Recent Journals