Guevara Tirado Alberto
Médico cirujano, Maestro en medicina, Universidad Científica del Sur, Lima, Perú .
Vertex. 2025 Apr 10;36(167, ene.-mar.):17-27. doi: 10.53680/vertex.v36i167.797.
Suicidal ideation is the thought of self-elimination that is not always reported by patients tested for depression.
The objective was to identify and analyze depressive symptoms from the Patient Health Questionnaire-9 associated with suicidal ideation in the Peruvian population.
Observational, analytical and cross-sectional study based on data from 32,062 participants of the national family health survey using the patient health questionnaire-9. The Chi-square test, Poisson regression with robust variance, multilayer perceptron and decision tree were used.
In women, the decision tree algorithm correctly classified 91.10 % of cases of suicidal ideation. In men, it was 94.70 %. Using multilayer perceptron, in women, the percentage of incorrect predictions was 8.90 %. The variables being included: feeling bad, feeling depressed, speaking or moving slowly, problems concentrating and sleeping problems. In men it was 8.12 %, including the variables: feeling bad, feeling depressed, speaking or moving slowly, sleep problems and little or a lot of appetite.
Supervised learning algorithms are viable and efficient to identify depressive symptoms from the Health Questionnaire-9 associated with suicidal ideation in the Peruvian population, with somatic symptoms predominating in women and affective-cognitive symptoms in men. The use of supervised learning algorithms can be a complement for mental health professionals.
自杀意念是自我消除的想法，接受抑郁症检测的患者并非总会报告这一情况。
目的是识别并分析秘鲁人群中与自杀意念相关的患者健康问卷-9中的抑郁症状。
基于全国家庭健康调查中32062名参与者的数据进行观察性、分析性和横断面研究，使用患者健康问卷-9。采用卡方检验、稳健方差的泊松回归、多层感知器和决策树。
在女性中，决策树算法正确分类了91.10%的自杀意念病例。在男性中，这一比例为94.70%。使用多层感知器时，在女性中，错误预测的比例为8.90%。纳入的变量有：感觉糟糕、情绪低落、说话或行动迟缓、注意力不集中和睡眠问题。在男性中，这一比例为8.12%，纳入的变量有：感觉糟糕、情绪低落、说话或行动迟缓、睡眠问题以及食欲减退或亢进。
监督学习算法对于识别秘鲁人群中与自杀意念相关的健康问卷-9中的抑郁症状是可行且有效的，女性以躯体症状为主，男性以情感认知症状为主。监督学习算法的使用可为心理健康专业人员提供补充。
