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Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
Results
1 to 3 of 3 Research Studies DisplayedNi Y, Barzman D, Bachtel A
Finding warning markers: Leveraging natural language processing and machine learning technologies to detect risk of school violence.
In their earlier research, the authors developed a risk assessment program to interview subjects, identify risk and protective factors, and evaluate risk for school violence; their current study focused on developing natural language processing (NLP) and machine learning technologies to automate the risk assessment process. They found that, by analyzing the content from subject interviews, the NLP and machine learning algorithms showed good capacity for detecting risk of school violence. The feature selection uncovered multiple warning markers that could deliver useful clinical insights to assist personalizing intervention. Consequently, the developed approach offered the promise of an accurate and scalable computerized screening service for preventing school violence.
AHRQ-funded; HS024983.
Citation: Ni Y, Barzman D, Bachtel A .
Finding warning markers: Leveraging natural language processing and machine learning technologies to detect risk of school violence.
Int J Med Inform 2020 Jul;139:104137. doi: 10.1016/j.ijmedinf.2020.104137..
Keywords: Children/Adolescents, Domestic Violence, Risk
Raghavan R, Brown DS, Allaire BT
Challenges in using Medicaid claims to ascertain child maltreatment.
Using data from the first National Survey of Child and Adolescent Well-Being and Medicaid claims, this study assessed the validity of Medicaid codes in identifying maltreatment. Medicaid claims identify maltreatment in only 15 percent of all children identified by the child’s investigating child welfare worker as having been maltreated.
AHRQ-funded; HS020269.
Citation: Raghavan R, Brown DS, Allaire BT .
Challenges in using Medicaid claims to ascertain child maltreatment.
Challenges in using Medicaid claims to ascertain child maltreatment..
Keywords: Domestic Violence, Children/Adolescents, Medicaid
Klevens J, Barnett SB, Florence C
Exploring policies for the reduction of child physical abuse and neglect.
This article identifies 37 state policies that might have impacts on the social determinants of child maltreatment and utilizes the available data to explore effects of 11 policies. There were two policies that were significantly associated with decreased child maltreatment rates: lack of waitlists to access subsidized child care and policies that facilitate continuity of child health care.
AHRQ-funded; HS013853.
Citation: Klevens J, Barnett SB, Florence C .
Exploring policies for the reduction of child physical abuse and neglect.
Child Abuse Negl 2015 Feb;40:1-11. doi: 10.1016/j.chiabu.2014.07.013.
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Keywords: Domestic Violence, Children/Adolescents, Policy, Risk