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Erschienen in: Journal of Family Violence 1/2017

23.09.2016 | Original Article

Mining Electronic Health Records Data: Domestic Violence and Adverse Health Effects

verfasst von: Gunnur Karakurt, Vishal Patel, Kathleen Whiting, Mehmet Koyutürk

Erschienen in: Journal of Family Violence | Ausgabe 1/2017

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Abstract

Intimate partner violence (IPV) often culminates in acute physical injury, sexual assault, and mental health issues. It is crucial to understand the healthcare habits of victims to develop interventions that can drastically improve a victim’s quality of life and prevent future abuse. The objective of this study is to mine de-identified and aggregated Electronic Health Record data to identify women’s health issues that are potentially associated with IPV. In this study we compared health issues of female domestic abuse victims to female non-domestic abuse victims. The Domestic abuse population contained 5870 patients, while the Non-Domestic Abuse population contained 14,315,140 patients. Explorys provides National Big Data from the entire USA. Statistical analysis identified 2429 terms as significantly more prevalent among victims of domestic abuse, compared to the general population. These terms were classified into broad categories, including acute injury, chronic conditions, substance abuse, mental health, disorders, gynecological and pregnancy related problems.
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Metadaten
Titel
Mining Electronic Health Records Data: Domestic Violence and Adverse Health Effects
verfasst von
Gunnur Karakurt
Vishal Patel
Kathleen Whiting
Mehmet Koyutürk
Publikationsdatum
23.09.2016
Verlag
Springer US
Erschienen in
Journal of Family Violence / Ausgabe 1/2017
Print ISSN: 0885-7482
Elektronische ISSN: 1573-2851
DOI
https://doi.org/10.1007/s10896-016-9872-5

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