有機體生理與病理之探討與相關文獻非常豐富，不管是從西醫的角度切入，或是從中醫的理念去執業，皆有不少的成果與文獻可供參考。但因為很多臨床試驗所消耗的資源與其所投入的資金人力皆築基於經驗格式，以致常導致諸多研究結果的知識累積曠時廢日，且成效之鑑定與傳承不甚彰顯，這種現象的發生，主要是因為在數據的取得方法沒有透過精省有效的科學統計方法，如實驗設計中的因子設計，來精整化約，因此造成許些人類資源與知識傳承上的不夠嚴謹與不必要的浪費。
有鑑於此，本文乃提出一套兩階段建模之實驗設計法，並將之應用於有機體生理與病理之診斷分析上。以往在病症與病徵模型之建構上，除了採用逐因擇優的方式來討論外，也經常只考慮系統因子對反應函數之主要效應，而忽略其交互效應的重要影響，因而導致所建構出來的模型與實況有所偏失不符。因為有機體的病因與病機間之非線性耦合關係嚴重，交互作用效應往往非常顯著，要因推估與精省模型的建構格外顯得重要。因此本文旨在嘗試建構一套嚴謹實用的實驗設計法則，並將之應用於有機體生理與病理之探討上。
本研究所選取作為測試本文所提二階段實驗設計法的人體病症，包含心律不整、滑脈症候及瓣膜脫垂(二尖瓣膜閉鎖不全)等現代人所常見之症狀。對於病症與病因的篩選除了利用文獻資料與古今學人之心得外，並採用因子直交組合之配方，實際對實有患者進行採樣篩選以量取數據，並透過標準化程序以消弭個體間之誤差，再進行效應、變異及顯著等分析來找出顯著因子與主要及交互效應，方得以完成最適精省回歸模型之建構。以此模型來推估診斷病情，將可提供進一步針灸、推拿、用藥等疾病之療治與緩解方法之選擇與使用。

The study on physiology and pathology of organic bodies has been a popular subject for both western and eastern medical practice personnel. However, since many clinical experiments are based on empirical trials such that the resources are greatly consumed by and often lead to the knowledge accumulation time-consuming, and failing to pass along from generation to generation. This is mainly because the data acquisition method is heuristic and not scientific enough to utilizing statistical approaches such as experimental factorial design to, result in more systematic for better characterization.
In view of the emerging needs, this thesis proposes an two-stage experimental design method and the associated standard procedure to allow the characterization of physiological and pathological diagnosis for human bodies. In the past, the established models of diseases and symptoms considered only the main effect of significant factors themselves, and ignored the interactive effects among significant factors. By so doing, it often leads to the construction of biased and erroneous models. Since the organic system is highly nonlinearly coupled, and, therefore, the interactive terms are often very significant. This thesis is thus devoted to construct sets of rigorous experimental and practical design rules for possible modeling and applications in organism's physiological and pathological study.
To illustrate the effectiveness of the proposed approach, three commonly encounter human diseases including cardiac arrhythmias, slippery pulses and heart valve regurgitation symptoms are selected for study. In addition to the screening of samples and the diagnosis of disease causes, the use of experimental design to construct a fine model is essential. The actual screening of the patients and samples has come up with a large amount of data. A standardized procedure is proposed to abridge between the individual discrepancies. The employment of error analysis, variance analysis and significant analysis make possible the identification of significant parameters and the interactive terms. The proposed approach also allows us to downsizing the construction of an accurate and economic regression model for each particular disease. The model thus developed can then be used to diagnose of the illness conditions for further treatment including the employment of acupuncture, massage and other pain-relieving medication means.

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