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陳毅軒
以全民健康保險研究資料庫對"心房顫動患者是否因患有敗血症而增加中風、死亡機...
以全民健康保險研究資料庫對"心房顫動患者是否因患有敗血症而增加中風、死亡機率”進行統計數據分析
以全民健康保險研究資料庫對"心房顫動患者是否因患有敗血症而增加中風、死亡機率”進行統計數據分析
By
陳毅軒
Machine Learning Engineer
・
Taipei City, Taiwan
Connect
心房纖維顫動(Atrial Fibrillation,AF)已知是中風與死亡的危險因子,但敗血病(Sepsis)患者受心房纖維顫動影響的臨床數據仍未明確,因此以全民健康保險研究資料庫(NHIRD)數據來探討心房纖維顫動現象對於具有敗血病病症的患者是否會提高中風或死亡發生的可能。 於專題開始先進行R語言的試用,對此發現此統計語言由於負載的資料量較此專題研討小因此無法使用,因此選定可成功有效率處理大量資料的SAS語言進行專題研究的統計分析語言。 首先建立第一個單純數據表格,透過國際疾病分類碼ICD9於全民健康保險研究資料庫NHIRD內取出各個所需之病例取得基本數據與建立各處理資料分類之欄位。 以第一步驟取得之資料表格以羅吉斯回歸運算方法進行勝算分析取得勝算比率(Odd Ratio)驗證所查得的醫學論文的結果,再以年齡分組取得病歷分組的勝算比率。 再以另一統計方法進行存活比率分析(Hazard Ratio)進行進一步驗證。最後再得到有AF和無AF的敗血病患者對中風或死亡的生存曲線完成本次專題研究,證實選定論文的理論於台灣為真。
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陳毅軒
Connect
Published: Oct 1st 2018
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NHIRD database
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