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目的:分析影响军人心理健康的主要症状,有效预测军人心理健康状况。方法:运用AdaBoost算法构造强分类器,对1214名现役军人心理测评数据进行分析,并与单一分类算法构造的弱分类器进行比较。结果:构造的强分类器能实现对敏感心理问题的有效识别,分类正确率相比于单一分类算法有显著提升。结论:焦虑和抑郁是影响军人心理健康的主要因子,应重点关注。
Objective: To analyze the main symptoms that affect the mental health of military personnel and effectively predict the mental health status of military personnel. Methods: AdaBoost algorithm was used to construct a strong classifier. The data of 1214 active soldiers were analyzed and compared with the weak classifier constructed by a single classification algorithm. Results: The constructed strong classifier can effectively identify sensitive psychological problems, and the classification accuracy rate is significantly improved compared with the single classification algorithm. Conclusion: Anxiety and depression are the main factors affecting the mental health of military personnel and should be the focus of attention.