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Assessing the predictive ability of the Suicide Crisis Inventory for near‐term suicidal behavior using machine learning approaches
International Journal of Methods in Psychiatric Research ( IF 3.1 ) Pub Date : 2020-11-09 , DOI: 10.1002/mpr.1863 Neelang Parghi 1 , Lakshmi Chennapragada 2 , Shira Barzilay 3 , Saskia Newkirk 2 , Brian Ahmedani 4 , Benjamin Lok 5 , Igor Galynker 2, 6
International Journal of Methods in Psychiatric Research ( IF 3.1 ) Pub Date : 2020-11-09 , DOI: 10.1002/mpr.1863 Neelang Parghi 1 , Lakshmi Chennapragada 2 , Shira Barzilay 3 , Saskia Newkirk 2 , Brian Ahmedani 4 , Benjamin Lok 5 , Igor Galynker 2, 6
Affiliation
This study explores the prediction of near‐term suicidal behavior using machine learning (ML) analyses of the Suicide Crisis Inventory (SCI), which measures the Suicide Crisis Syndrome, a presuicidal mental state.
中文翻译:
使用机器学习方法评估自杀危机清单对近期自杀行为的预测能力
本研究使用机器学习 (ML) 分析自杀危机量表 (SCI) 来探索近期自杀行为的预测,该量表衡量自杀危机综合症,一种自杀前的心理状态。
更新日期:2020-11-09
中文翻译:
使用机器学习方法评估自杀危机清单对近期自杀行为的预测能力
本研究使用机器学习 (ML) 分析自杀危机量表 (SCI) 来探索近期自杀行为的预测,该量表衡量自杀危机综合症,一种自杀前的心理状态。