Bridging a translational gap: using machine learning to improve the prediction of PTSD

被引:0
作者
Karen-Inge Karstoft
Isaac R Galatzer-Levy
Alexander Statnikov
Zhiguo Li
Arieh Y Shalev
机构
[1] Department of Psychiatry,
[2] NYU School of Medicine,undefined
[3] Research and Knowledge Centre,undefined
[4] Danish Veteran Centre,undefined
[5] Center for Health Informatics and Bioinformatics,undefined
[6] NYU School of Medicine,undefined
[7] Department of Medicine,undefined
[8] NYU School of Medicine,undefined
来源
BMC Psychiatry | / 15卷
关键词
Posttraumatic Stress Disorder (PTSD); Machine learning; Early prediction; Risk factors; Markov boundary feature selection; Support vector machines;
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