Promotion, preventive and early development interventions may have the greatest effect on children's health and wellbeing. Early mental health intervention strategies can enable better health pathways, take steps well before health conditions worsen, or deter them from occurring. Subthreshold depression applies to clinically significant signs that may not fulfill major depression disorders (MDD) requirements. Depression is more probable than an assortment of individual groups to be explained as a spectrum. Minor and sub-threshold depression is normal, and diagnosis levels are significantly impaired in patients and negatively affect their living standards. Present diagnostics programs continue to re-examine and differentiate thresholds from normal feelings of truth for depressive disorders. Therefore, a Psychological Behavior Analysis Model (PBSM) has been proposed to identify children's mental health problems. The proposed PBSM model shows a fair success in forecasting potential MDD diagnosis in the extrapolation test system for children outside the model spectrum. These conclusions indicate that the identification and treatment of high-risk individuals may be detected in children with subthreshold that have significant clinical effects. The simulation analysis PBSM identifies the children mental health problem high student high- mental health score of 92.5%, low depression level of 21.8%, somatic symptoms score of 23.5%, improved social dysfunction rate of 93.7%, high probability ratio of 96.3% and better psychological behavior rate of 90.1% when compared to other methods.

促进、预防和早期发展干预可能对儿童的健康和福祉产生最大的影响。早期的心理健康干预策略可以实现更好的健康途径，在健康状况恶化之前采取措施，或阻止它们的发生。阈下抑郁症适用于可能不满足重度抑郁症 (MDD) 要求的临床显着体征。抑郁症比将各种不同的个体群体解释为一个谱系更有可能。轻度和亚阈值抑郁是正常的，患者的诊断水平显着受损，并对他们的生活水平产生负面影响。目前的诊断程序继续重新检查和区分阈值与抑郁症的正常真实感。所以，已经提出了一种心理行为分析模型（PBSM）来识别儿童的心理健康问题。所提出的 PBSM 模型在预测模型频谱外儿童的外推测试系统中的潜在 MDD 诊断方面取得了相当大的成功。这些结论表明，在具有显着临床效果的亚阈值儿童中，可以检测到高危个体的识别和治疗。模拟分析PBSM识别出儿童心理健康问题高学生高心理健康得分92.5%，低抑郁水平21.8%，躯体症状得分23.5%，社会功能障碍改善率93.7%，高概率比96.3%，与其他方法相比，更好的心理行为率为 90.1%。s 心理健康问题。所提出的 PBSM 模型在预测模型频谱外儿童的外推测试系统中的潜在 MDD 诊断方面取得了相当大的成功。这些结论表明，在具有显着临床效果的亚阈值儿童中，可以检测到高危个体的识别和治疗。模拟分析PBSM识别出儿童心理健康问题高学生高心理健康得分92.5%，低抑郁水平21.8%，躯体症状得分23.5%，社会功能障碍改善率93.7%，高概率比96.3%，与其他方法相比，更好的心理行为率为 90.1%。s 心理健康问题。所提出的 PBSM 模型在预测模型频谱外儿童的外推测试系统中的潜在 MDD 诊断方面取得了相当大的成功。这些结论表明，在具有显着临床效果的亚阈值儿童中，可以检测到高危个体的识别和治疗。模拟分析PBSM识别出儿童心理健康问题高学生高心理健康得分92.5%，低抑郁水平21.8%，躯体症状得分23.5%，社会功能障碍改善率93.7%，高概率比96.3%，与其他方法相比，更好的心理行为率为 90.1%。所提出的 PBSM 模型在预测模型频谱外儿童的外推测试系统中的潜在 MDD 诊断方面取得了相当大的成功。这些结论表明，在具有显着临床效果的亚阈值儿童中，可以检测到高危个体的识别和治疗。模拟分析PBSM识别出儿童心理健康问题高学生高心理健康得分92.5%，低抑郁水平21.8%，躯体症状得分23.5%，社会功能障碍改善率93.7%，高概率比96.3%，与其他方法相比，更好的心理行为率为 90.1%。所提出的 PBSM 模型在预测模型频谱外儿童的外推测试系统中的潜在 MDD 诊断方面取得了相当大的成功。这些结论表明，在具有显着临床效果的亚阈值儿童中，可以检测到高危个体的识别和治疗。模拟分析PBSM识别出儿童心理健康问题高学生高心理健康得分92.5%，低抑郁水平21.8%，躯体症状得分23.5%，社会功能障碍改善率93.7%，高概率比96.3%，与其他方法相比，更好的心理行为率为 90.1%。