International Journal of Social Science & Economic Research
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Title:
DEVELOPING A PREDICTIVE MODEL FOR EMOTIONAL AND BEHAVIORAL DISORDER AMONG CHILDREN

Authors:
Yicen Tao

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Yicen Tao
Rutgers Preparatory School, New Jersey

MLA 8
Tao, Yicen. "DEVELOPING A PREDICTIVE MODEL FOR EMOTIONAL AND BEHAVIORAL DISORDER AMONG CHILDREN." Int. j. of Social Science and Economic Research, vol. 7, no. 4, Apr. 2022, pp. 956-966, doi.org/10.46609/IJSSER.2022.v07i04.009. Accessed Apr. 2022.
APA 6
Tao, Y. (2022, April). DEVELOPING A PREDICTIVE MODEL FOR EMOTIONAL AND BEHAVIORAL DISORDER AMONG CHILDREN. Int. j. of Social Science and Economic Research, 7(4), 956-966. Retrieved from doi.org/10.46609/IJSSER.2022.v07i04.009
Chicago
Tao, Yicen. "DEVELOPING A PREDICTIVE MODEL FOR EMOTIONAL AND BEHAVIORAL DISORDER AMONG CHILDREN." Int. j. of Social Science and Economic Research 7, no. 4 (April 2022), 956-966. Accessed April, 2022. doi.org/10.46609/IJSSER.2022.v07i04.009.

References

[1]. CDC (2021). “Data and Statistics on Children's Mental Health.”, Centers for Disease Control and Prevention, 22 Mar. 2021, www.cdc.gov/childrensmentalhealth/data.html.
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[3]. Garson, G.D. 1991. Interpreting neural network connection weights. Artificial Intelligence Expert. 6(4):46-51.
[4]. Google. (2020 Aug. 11). Classification: ROC curve and Auc | machine Learning crash course. Google. https://developers.google.com/machine-learning/crash-course/classification/roc-and-auc.
[5]. National Survey of Children's Health - Data Resource Center for Child and Adolescent Health, 2019, www.childhealthdata.org/learn-about-the-nsch/NSCH.
[6]. Stefan Fritsch, Frauke Guenther and Marvin N. Wright (2019). neuralnet: Training of Neural Networks. R package version 1.44.2. https://CRAN.R-project.org/package=neuralnet
[7]. Wang, Sijie, et al. "Exposure to Melamine cyanuric acid in adolescent mice caused emotional disorder and behavioral disorder." Ecotoxicology and Environmental Safety 211 (2021): 111938.

ABSTRACT:
Emotional and behavioral disorder (EBD) has been an ongoing issue in the United States. According to CDC, about 17% children and teenagers are reported to have symptoms of EBD. Thus, it is imperative for groups like parents, guardians, doctors, and teachers to develop a more in-depth understanding of the causes that lead to EBD. The data in this study are the responses of 67,625 individuals to the survey National Survey of Children’s Health (NSCH).Mean value imputation, and min-max scaling are some of the pre-processing techniques that we used to prepare the data set for later model-building. Then we selected some independent variables including demographic information, and special therapy status, and used them to develop two predictive models, a logistic regression model and an artificial neural network, in order to predict the probability of developing EBD. Furthermore, we used AUC and ROC to evaluate the accuracy of the two models. Both predictive models have good performance. The AUC of the two predictive models are 0.93 and 0.94, respectively, and the ROC curve of the models are also good and similar. The results indicate that older children are more likely to have EBD, while the children who are receiving or have received special therapy for mental problems are less likely to develop EBD. This report concludes that offering quality health care to the children in need is an effective way to decrease their probability of developing EBD.

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