Predictive model for intra-familial child maltreatment re-reports and recurrence in South Korea: Analysis of national child protection services case records

Kım, Kihyun; Choi, Jungtae; Jang, Hee-Sun; Lee, Hyunji; Jang, Hwajung

doi:10.1016/j.chiabu.2022.105487

Cited by 2 publications

(1 citation statement)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Kim et al examined data from the Korean Child Protection Service and compared victim, offender, and family background characteristics. Aside from severe repercussions for perpetrators, evidence-based intervention would be the best strategy for reducing future abuses [33]. Problematic childhood experiences were caused by certain societal characteristics of the families.…”

Section: Related Workmentioning

confidence: 99%

BS-SC Model: A Novel Method for Predicting Child Abuse Using Borderline-SMOTE Enabled Stacking Classifier

Parthasarathy¹,

Raj²

2023

Computer Systems Science and Engineering

View full text Add to dashboard Cite

For a long time, legal entities have developed and used crime prediction methodologies. The techniques are frequently updated based on crime evaluations and responses from scientific communities. There is a need to develop type-based crime prediction methodologies that can be used to address issues at the subgroup level. Child maltreatment is not adequately addressed because children are voiceless. As a result, the possibility of developing a model for predicting child abuse was investigated in this study. Various exploratory analysis methods were used to examine the city of Chicago's child abuse events. The data set was balanced using the Borderline-SMOTE technique, and then a stacking classifier was employed to ensemble multiple algorithms to predict various types of child abuse. The proposed approach successfully predicted crime types with 93% of accuracy, precision, recall, and F1-Score. The AUC value of the same was 0.989. However, when compared to the Extra Trees model (17.55), which is the second best, the proposed model's execution time was significantly longer (476.63). We discovered that Machine Learning methods effectively evaluate the demographic and spatial-temporal characteristics of the crimes and predict the occurrences of various subtypes of child abuse. The results indicated that the proposed Borderline-SMOTE enabled Stacking Classifier model (BS-SC Model) would be effective in the real-time child abuse prediction and prevention process.

show abstract

Section: Related Workmentioning

confidence: 99%

BS-SC Model: A Novel Method for Predicting Child Abuse Using Borderline-SMOTE Enabled Stacking Classifier

Parthasarathy¹,

Raj²

2023

Computer Systems Science and Engineering

View full text Add to dashboard Cite

show abstract

Analysis of Foreign Practice in the Field of Legal Grounds and Approaches to Restriction, Deprivation of Parental Rights and Removal of a Child from His/Her Parents in Case of an Immediate Threat to His or Her Life or Health

Telitsyna

2023

Social Sciences and Childhood

View full text Add to dashboard Cite

<p style="text-align: justify;"><span lang="EN-US">An analysis of foreign practice in the field of legal grounds and criteria for the removal of a child from his or her family in cases of abuse, when there is a threat to his or her life or health has been carried out. At the moment the world practice demonstrates two types of systems of realization of the child's right to a safe childhood: the system of family services and the system of child protection. Demarcation is carried out according to the object whose interests are to be protected and the goals: preservation of the family and care for the mental and physical well-being of all its members in the first case, and the prevalence of the rights and interests of the child in the second. In both cases, the procedure for protecting children's rights is legal in nature, implemented by state structures with the participation of civil society. As a rule, it is carried out in the presence of social-marginalizing factors: parents' lack of economic means, parents' social deviation, drug or psychotropic substance abuse, but can be initiated against those parents who have demonstrated an aggressive and abusive attitude toward the child in society, and it has been perceived from a position of censure and disapproval, which has caused the corresponding consequences considered in this article.</span></p>

show abstract

Predictive model for intra-familial child maltreatment re-reports and recurrence in South Korea: Analysis of national child protection services case records

Cited by 2 publications

References 26 publications

BS-SC Model: A Novel Method for Predicting Child Abuse Using Borderline-SMOTE Enabled Stacking Classifier

BS-SC Model: A Novel Method for Predicting Child Abuse Using Borderline-SMOTE Enabled Stacking Classifier

Analysis of Foreign Practice in the Field of Legal Grounds and Approaches to Restriction, Deprivation of Parental Rights and Removal of a Child from His/Her Parents in Case of an Immediate Threat to His or Her Life or Health

Contact Info

Product

Resources

About