抑郁症自测结果应用数据

应有自测结果，帮助用户通过填写抑郁自评量表来评估抑郁症的可能性。有助于个体意识到可能存在的心理情绪问题。建立起一个早期预警系统，帮助识别出患有抑郁症的可能，从而及早提供干预和支持。收集整理自测数据，将结果进行整理复用，对测试者心理健康状态进行及时合理的预警。用户定期使用抑郁自评量表进行评估，平台可以监测来访者的症状变化，协助医疗机构评估治疗效果，并根据需要调整治疗方案。1.收集测试者一系列关于抑郁症症状的布尔值回答，包括：是否出现兴趣丧失、心情低落；是否出现精力减退、常感到疲劳；是否常有内疚、自责感；是否出现思考能力下降、注意力不集中、联想困难；是否有睡眠障碍，如失眠、早醒、嗜睡等；是否有明显食欲下降、体重减轻；是否出现性欲减退；是否出现幻觉；是否反复出现自杀、自残念头；上述症状是否持续两周以上，且对正常生活造成严重影响。2.算法处理：初始化总分：设定初始分数为0，收集整理自测数据，将分析结果进行整理复用，用于累加各症状的分值。症状评分：对于每个症状，根据其严重性和对抑郁症诊断的重要性分配一个固定的分数。如果症状回答为“是”，则将该症状的分数加到总分上。计算总分：将所有症状的分值相加，得到总分。判断结论：根据总分范围，将结果划分为不同等级或者判断为无显著抑郁症状。设定不同的分数阈值来界定这些等级。分数为0-1为健康，无明显表现，请继续保持良好的生活方式；分数为2则提示目前症状轻微，注意观察身体状况；分数为3-4代表有患病可能，请注意调节心态；5-10为有很大患病可能，提醒注意身体；总分大于10则为患病可能性较大，建议去医院就诊

This dataset offers self-test results to help users evaluate their risk of depression by completing the Self-Rating Depression Scale. It enables individuals to recognize potential psychological and emotional issues, and establishes an early warning system to identify possible depression cases and provide timely intervention and support. By collecting and organizing self-test data and reusing the analysis results, it can issue timely and reasonable warnings regarding test takers' mental health status. When users regularly take the Self-Rating Depression Scale for assessment, the platform can monitor changes in the test takers' symptoms, assist medical institutions in evaluating treatment effects, and adjust treatment plans as needed.

1. Data collection: Collect a series of boolean responses from test takers about depression-related symptoms, including: whether they have lost interest or felt depressed; whether they have experienced reduced energy and frequent fatigue; whether they often feel guilty or blame themselves; whether they have decreased thinking ability, inattention, or difficulty in association; whether they have sleep disorders such as insomnia, early awakening, or excessive sleepiness; whether they have significant loss of appetite and weight loss; whether they have decreased libido; whether they have hallucinations; whether they have recurrent suicidal or self-harm ideation; whether the above symptoms have persisted for more than two weeks and severely affected normal daily life.

2. Algorithm processing:
- Initialize total score: Set the initial score to 0. Collect and organize self-test data, and reuse the analysis results to accumulate scores for each symptom.
- Symptom scoring: Assign a fixed score to each symptom based on its severity and importance in depression diagnosis. If the answer to a symptom is "Yes", add the corresponding score to the total score.
- Calculate total score: Sum the scores of all symptoms to obtain the final total score.
- Result judgment: Divide the results into different severity levels or determine that there are no significant depressive symptoms based on the total score range, with different score thresholds set to define these levels:
- 0-1 points: Healthy, no obvious symptoms, please maintain a healthy lifestyle;
- 2 points: Prompt mild current symptoms, pay attention to observing physical conditions;
- 3-4 points: Suggest possible depression, please adjust your mindset;
- 5-10 points: High possibility of depression, remind to pay attention to physical condition;
- Total score >10: High possibility of depression, it is recommended to seek medical attention promptly.

搜集汇总

数据集介绍

特点

该数据集包含854条抑郁症自测结果记录，涵盖16个字段，用于评估抑郁症可能性并提供早期预警和干预支持。数据来源于自行产生，应用场景为心理健康评估和治疗效果监测。