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題名 | 以自回歸法建立護理診斷歸納模式之研究=A Study of Using Auto-regressive Method to Build the Nursing Diagnosis Induction Model |
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作者姓名(中文) | 孫麗娟; 劉波兒; 孫郁興; | 書刊名 | 中國醫藥科學雜誌 |
卷期 | 1:2 2000.06[民89.06] |
頁次 | 頁133-145 |
分類號 | 419.7 |
關鍵詞 | 護理診斷; 自回歸護理診斷歸納模式; Nursing diagnosis; Auto-regressive nursing diagnosis induction model; ANDI model; |
語文 | 中文(Chinese) |
中文摘要 | 護理診斷研究在過去十年裡,於回溯法、臨床效度測試法及護理人員 效度測試法等方面,獲致了極多研究學者的關注。然而往昔研究學者們以數學上 的中值、均值、比率、頻率、方差、對數及反對數等單維度(one dimensional)數 學方式,去建立並描述對護理診斷樣本的評量,其結果難以被完整的模式化以建 立相關參數資料庫。本論文則因應往昔諸研究學者,運用單維度數學描述護理診 斷資料不夠細緻之缺憾,提出一新式自回歸歸納模式,此模式是以多維度參數 (multi-dimensional parameter)的結果來呈現對護理診斷資料的評量,並可依其法 則去完整的模式化護理診斷特徵,以建立相關護理診斷參數資料庫。本論文所推 介的多維度自回歸歸納方法,除了可應用於護理診斷模式之建立外,其對於醫學 診斷與藥劑使用量等,類屬於專家經驗值之統計資料形態者皆可同功參用。 |
英文摘要 | The nursing diagnosis evaluation has, in the past ten years, received considerable researcher's attention in retrospective, clinical validation, and nurse validation studies. Whereas the one-dimensional mathematical methods of median, mean, ratio, frequency, variance, log scale, and anti-log scale approaches, used as nursing diagnosis methods, are hard to be applied in modeling the reference parameter database. In this paper, we propose a novel auto-regressive induction model that avoids the disadvantages of conventional one-dimension mathematics parameter by describing the nursing diagnosis data in details. We used a multi-dimensional parameter space to explore the evaluation results of nursing diagnosis data completely and to construct the specialized reference parameter database. This proposed method not only could be used easily as the nursing diagnosis model but also available to be applied on the medicine diagnosis and the medicament quantity measures when the sequence type is similar to the nurse expert's data. |
本系統之摘要資訊系依該期刊論文摘要之資訊為主。