title: [The application of support vector machine for prediction of posttraumatic stress disorder on adults in flood district].
abstract: BACKGROUND
  To predict the occurrence of posttraumatic stress disorder (PTSD), using a Support Vector Machine (SVM) on adults in flood district. Diagnostic and Statistical Manuals on Mental Disorders (IV Edition) were used to examine and diagnose the victims in flood districts. Based on the forecasting model of SVM with PTSD as dependent variables and 23 influence factors of PTSD as independent variables, prediction of PTSD was conducted among the victims. After considering 23 influence factors into the prediction model, the agreement rate of prediction of the model was 88.05 percent, with sensitivity as 75.0 percent, and specificity as 89.4 percent.
  
  
  CONCLUSIONS
  The prediction model based on SVM with 23 influence factors had good effect on predicting the occurrence of PTSD.
authors: School of Public Health, Central South University, Changsha 410078, China.
authors: Peng
authors: P
authors: Huang
authors: Hong-Zhuan
authors: HZ
authors: Tan
authors: Li-Bo
authors: LB
authors: Zhou
authors: Shui-Dong
authors: SD
authors: Feng
mesh_terms: D000328:Adult; D044466:Asian People / Q000523:psychology / Q000706:statistics & numerical data*; D004190:Disasters; D055868:Floods; D006801:Humans; D008016:Life Change Events; D016014:Linear Models; D008960:Models, Psychological; D013313:Stress Disorders, Post-Traumatic / Q000175:diagnosis* / Q000453:epidemiology / Q000209:etiology