TY  - JOUR
PY  - 2021//
TI  - Data-driven identification of subtypes of intimate partner violence
JO  - Scientific reports
A1  - Hacıaliefendioğlu, Ahmet Mert
A1  - Yılmaz, Serhan
A1  - Smith, Douglas
A1  - Whiting, Jason
A1  - Koyutürk, Mehmet
A1  - Karakurt, Gunnur
SP  - 6736
EP  - 6736
VL  - 11
IS  - 1
N2  - Intimate partner violence (IPV) is a complex problem with multiple layers of heterogeneity. We took a data-driven approach to characterize this heterogeneity. We integrated data from different studies, representing 640 individuals from various backgrounds. We used hierarchical clustering to systematically group cases in terms of their similarities according to violence variables. <br><br>RESULTS suggested that the cases can be clustered into 12 hierarchically organized subgroups, with verbal abuse and negotiation being the main discriminatory factors at higher levels. The presence of physical assault, injury, and sexual coercion was discriminative at lower levels of the hierarchy. Subgroups also exhibited significant differences in terms of relationship dynamics and individual factors. This study represents an attempt toward using integrative data analysis to understand the etiology of violence. These results can be useful in informing treatment efforts. The integrative data analysis framework we develop can also be applied to various other problems.<p />  <p>Language: en</p>
LA  - en
SN  - 2045-2322
UR  - http://dx.doi.org/10.1038/s41598-021-85947-3
ID  - ref1
ER  -