作者: Hong-Jie Dai , Emily Chia-Yu Su , Mohy Uddin , Jitendra Jonnagaddala , Chi-Shin Wu
DOI: 10.1016/J.JBI.2017.08.009
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摘要: Evidence has revealed interesting associations of clinical and social parameters with violent behaviors patients psychiatric disorders. Men are more preceding during hospitalization, whereas women than men throughout the 3days following a hospital admission. It also been proven that mental disorders may be consistent risk factor for occurrence violence. In order to better understand disorders, it is important investigate both symptoms psychosocial factors accompany violence in these patients. this study, we utilized dataset released by Partners Healthcare Neuropsychiatric Genome-scale RDoC Individualized Domains project Harvard Medical School develop unique text mining pipeline processes unstructured data recognize such asage, gender, history alcohol use, behaviors, explored between The aim our work was demonstrate feasibility strongly associated among from evaluation records using mining. Experiment results showed stimulants, followed family behavior, suicidal financial stress were behaviors. Key aspects explicated paper include employing extract linked generating association rules uncover possible lastly ranking top statistical analysis interpretation.