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Estimation of Depression Risky of Family Health Tree System - Using the Family Functioning Scale

机译：估计家庭健康树系统的抑郁危险 - 使用家庭运作规模

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摘要

Healthy population is the base of a society to function well. As we know, family plays a significant role in the development and maintenance of depression. According to the hygienic statistical data of WHO, depression is the leading cause of disability as measured by YLDs and the 4th leading contributor to the global burden of disease (DALYs) in 2000. By the year 2020, depression is projected to reach 2nd place of the ranking of DALYs calculated for all ages, both sexes. Accordingly, depression increasing the medical and nursing cost compared to other diseases. Because of limited the diversification of depression and risky concept. This study develops an online family health tree system which implements orientation systematic analytic method together with Beavers systems model. Through inputting the medical history of family members by interaction website design, it can real-time calculate the risk information of getting depression and transmit this information to family doctor to search assistance and carefulness plan for patients. It also helps family sentiments and improves medical information management. In addition, we use samples from teachers and students of Chung Shan Medical University. Our study shows this system can screen out kinds of high risky depression patients and have good management of health risk. Finally, the relevant content is also described.
机译：健康人口是社会功能良好的基础。正如我们所知，家庭在抑郁的发展和维护方面发挥着重要作用。根据世卫组织的卫生统计数据，抑郁症是由ylds和2000年全球疾病负担（Dalys）的第4个主要贡献者衡量的残疾原因。到2020年，预计抑郁症达到第二次为所有年龄段计算的Dalys排名，两性。因此，与其他疾病相比，抑郁症增加了医学和护理成本。由于抑郁症和风险概念的多样化。本研究开发了一个在线家庭健康树系统，其与海狸系统模型一起实现方向系统分析方法。通过通过互动网站设计对家庭成员的病史进行输入，它可以实时计算获得抑郁的风险信息，并将这些信息传输给家庭医生，以搜索患者的援助和谨慎计划。它还有助于家庭情感并提高医疗信息管理。此外，我们使用中山医科大学的教师和学生的样本。我们的研究表明，该系统可以筛选出种类的高危抑郁症患者，并有良好的健康风险管理。最后，还描述了相关内容。

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