| 摘要: | 研究目的：本研究主要以臺北市政府照顧服務管理資訊平台的資料，利用資料探勘技術，建構決策分類樹模型，找出臺北市長照服務申請者之憂鬱/負面想法、自殺(包含意念及行為)的重要影響因素，提供照管人員後續關懷追蹤之參考。
研究方法：收集2018年之個案資料，共7653筆，利用SPSS 18.0進行描述性統計分析個案基本特性(如年齡、性別、婚姻狀況等)，再透過Weka 3.8版建構決策分類樹模型，最後使用Tableau資料分析軟體製作視圖，將分析結果以視覺化呈現。
研究結果：由本研究結果可知自殺、癌症、恐懼/焦慮、教育程度、與誰同住、年齡群組等，為憂鬱/負面想法較需注意的變項，而其中前三大危險因子為自殺、恐懼/焦慮、教育程度。而有關自殺(包含意念及行為)部分，較需注意的變項為憂鬱/負面想法、妄想、精神疾病、恐懼/焦慮、語言攻擊、抗拒照護、教育程度、個案婚姻情形、照顧者年齡族群、日夜顛倒/作息混亂等，前四大危險因子為憂鬱/負面想法、恐懼/焦慮、教育程度、個案婚姻情形。
結論：本計畫目的為找出有關自殺(包含意念及行為)及憂鬱/負面想法之危險因子，但需與系統結合才能發揮價值，因此未來將積極與政府單位合作將挖掘出重要條件寫入平台中，未來若有相關申請人符合這些條件，則系統跳出警示，便可超前佈署給予適當關心，減少不幸事件的發生。
Aims: Our research mainly adopted the data of the Taipei City Government ’s care service management information platform and uses data mining techniques to find out the risk factors of depression and suicidal behavior, providing reference for follow-up care tracking of caregivers.
Method: We conduct SPSS 18.0 for descriptive statistical analysis of the basic characteristics of the case (such as age, gender, marital status, etc.) in 2018, a total of 7653 cases. The results will be visualized by using Tableau data analysis software. Lastly, adopting Weka 3.8 classification tree model to calculate the risk factors of depression and suicide in the elderly.
Results: From the results of this study, we could know that suicide, cancer, fear and anxiety, education level, age group, and who he/she is living with who are related to the variables for depression / negative thoughts. For the suicide part, the more relevant variables are depression / negative thoughts, delusion, mental illness, fear and anxiety, verbal attacks, resistance care definition, education level, marital status, caregiver age group, day and night reversal.
Conclusion: We can find out different risk factors of suicidal behavior and depression / negative thoughts. It’s hoped that it can be combined with the care service management information platform in the future. Applicants who meet these conditions, the system will pop up a warning, so that appropriate care can be deployed in advance to reduce the occurrence of unfortunate incidents. |
