Childhood abuse and neglect predicts suicide attempt. Furthermore, other early-life stressful events may predict lifetime suicide attempt in psychiatric disorders. We assessed 189 schizophrenics for suicide attempt and stressful life events. Early-life stressful events were used as predictors of lifetime suicide attempt in three machine learning models. In our sample, 38% of the schizophrenics had at least one suicide attempt lifetime. The machine learning models provided an overall significant prediction (accuracy range: 62-69%). Childhood sexual molestation and mental illness were important predictors of suicide attempt. Early-life stressful events should be included in models aiming at predicting suicide attempt in schizophrenia.

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精神分裂症的早期压力事件和自杀企图：机器学习模型

童年虐待和忽视预示着自杀企图。此外，其他早期生活压力事件可能会预测精神障碍患者的终生自杀企图。我们评估了 189 名精神分裂症患者的自杀企图和压力性生活事件。在三个机器学习模型中，早期生活压力事件被用作终生自杀企图的预测因子。在我们的样本中，38% 的精神分裂症患者一生至少有一次自杀未遂。机器学习模型提供了整体显着的预测（准确率范围：62-69%）。童年性骚扰和精神疾病是自杀未遂的重要预测因素。早期生活压力事件应包括在旨在预测精神分裂症自杀企图的模型中。