Mining Electronic Health Records Data: Domestic Violence and Adverse Health Effects
Mining Electronic Health Records Data: Domestic Violence and Adverse Health Effects
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DOI：
10.1007/s10896-016-9872-5
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发表时间：
2017-01-01
影响因子：
3.8
通讯作者：
Koyuturk, Mehmet
中科院分区：
文献类型：
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作者：
Karakurt, Gunnur;Patel, Vishal;Koyuturk, Mehmet
亲密伴侣暴力（IPV）通常会导致严重的身体伤害，性侵犯和心理健康问题。了解受害者的医疗习惯，制定干预措施，可以大大提高受害者的生活质量，防止未来的虐待是至关重要的。本研究的目的是挖掘去识别和汇总的电子健康记录数据，以确定可能与IPV相关的女性健康问题。在这项研究中，我们比较了女性家庭暴力受害者的健康问题，女性非家庭暴力受害者。家庭虐待人口包含5，870名患者，而非家庭虐待人口包含14，315，140名患者。Explorys提供来自整个美国的国家大数据。统计分析确定了2429个术语，与一般人群相比，家庭虐待受害者中的流行程度更高。这些术语被分为几大类，包括急性损伤、慢性疾病、药物滥用、精神健康、疾病、妇科和妊娠相关问题。
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.