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Development and validation of a prediction algorithm for the onset of common mental disorders in a working population

机译:在工作人群中常见精神障碍发作预测算法的开发与验证

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摘要

Objective: Common mental disorders are the most common reason for long-term sickness absence in most developed countries. Prediction algorithms for the onset of common mental disorders may help target indicated work-based prevention interventions. We aimed to develop and validate a risk algorithm to predict the onset of common mental disorders at 12months in a working population.
机译:目的:在大多数发达国家,常见的精神障碍是长期缺勤的最常见原因。常见精神障碍发病的预测算法可能有助于针对特定的基于工作的预防干预措施。我们的目的是开发并验证一种风险算法,用于预测工作人群12个月后常见精神障碍的发病情况。

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