@文章{信息:doi/10.2196/23725，作者=“Karystianis, George and Simpson, Annabeth and Adily, Armita and Schofield, Peter and Greenberg, David and Wand, Handan and Nenadic, Goran and Butler, Tony”，标题=“家庭暴力警察记录中精神疾病的患病率:文本挖掘研究”，期刊=“J Med Internet Res”，年=“2020”，月=“12”，日=“24”，卷=“22”，数=“12”，页=“e23725”，关键词=“文本挖掘;精神疾病;家庭暴力;警方数据;背景:新南威尔士州警察部队(NSWPF)记录了他们每年参加的大量家庭暴力(DV)事件的细节，包括结构化的定量数据和非结构化的自由文本。获取免费文本中包含的信息，例如受害者和相关人员的精神健康状况，有助于更好地管理警察参与的家庭暴力事件，从而改善健康、司法和社会结果。目的:本研究的目的是提出在警察记录的家庭暴力事件中，POIs和受害者所提及的精神疾病的患病率。方法:我们应用知识驱动的文本挖掘方法从警察记录的家庭暴力事件中识别受害者的精神疾病提及和poi。结果:在警方记录的416,441起具有单一poi和单一受害者的DV事件中，我们确定了64,587起事件(15.51{\%})至少提到了一种精神疾病，而4295起事件(1.03{\%})记录在结构化固定字段中。三分之二(67,582/85,880,78.69{\%})的精神疾病与POIs有关，而21.30%{\%}(18,298/85,880)与受害者有关; depression was the most common condition in both victims (2822/12,589, 22.42{\%}) and POIs (7496/39,269, 19.01{\%}). Mental illnesses were most common among POIs aged 0-14 years (623/1612, 38.65{\%}) and in victims aged over 65 years (1227/22,873, 5.36{\%}). Conclusions: A wealth of mental illness information exists within police-recorded DV events that can be extracted using text mining. The results showed mood-related illnesses were the most common in both victims and POIs. Further investigation is required to determine the reliability of the mental illness mentions against sources of diagnostic information. ", issn="1438-8871", doi="10.2196/23725", url="//www.mybigtv.com/2020/12/e23725/", url="https://doi.org/10.2196/23725", url="http://www.ncbi.nlm.nih.gov/pubmed/33361056" }