Harnessing the Power of Machine Learning and Electronic Health Records to Support Child Abuse and Neglect Identification in Emergency Department Settings

Landau, A. Y., Blanchard, A., Kulkarni, P., Althobaiti, S., Idnay, B., Patton, D. U., Cato, K., & Topaz, M. (2024). Harnessing the Power of Machine Learning and Electronic Health Records to Support Child Abuse and Neglect Identification in Emergency Department Settings. Digital Health and Informatics Innovations for Sustainable Health Care Systems. https://doi.org/10.3233/shti240740
Authors:
Aviv Y. Landau
Ashley Blanchard
Parag Kulkarni
Shahad Althobaiti
Betina Idnay
Desmond U. Patton
Kenrick Cato
Maxim Topaz
Affiliated Authors:
Ashley Blanchard
Shahad Althobaiti
Betina Idnay
Kenrick Cato
Maxim Topaz
Columbia Affiliation:
Subjects:
Electronic Health Records (MeSH)
Emergency Service, Hospital (MeSH)
Machine Learning (MeSH)
Child Abuse (MeSH)
Natural Language Processing (MeSH)
Effects of Childhood Trauma and Adversity (OpenAlex Topic)
Emergency Department Crowding (OpenAlex Topic)
Mental Health of Refugees and Immigrants (OpenAlex Topic)
Author Keywords:
child abuse and neglect
clinical decision support
electronic health records
machine learning
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Publication Type:
Article
Unique ID:
10.3233/shti240740
PMID:
39176527
DOI:
10.3233/shti240740
Journal:
Studies in Health Technology and Informatics
Publication Date:
Data Source:
OpenAlex
Source Link:
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