And many of these operating and abnormal operating procedures, and certainly emergency procedures, are symptom based.
很多的运行和不正常的运行步骤，还有当然，紧急的步骤，就是基本的征兆。
Homeopathy is based upon the "law of similars". The idea is an ingredient that causes a certain symptom can help trigger the body to "fight" that symptom.
顺势疗法建立在“同类理论”的基础上，其理念是用一种原料使身体产生一些症状，来帮助“战胜”另一些症状。
It is difficult to diagnose some faults of satellites using the knowledge of only one symptom field. Based on Evidence Reasoning Theory, this paper introduces a new method to diagnose the faults.
针对卫星故障诊断中应用同一征兆域信息难以区分的故障，提出了一种基于证据推理理论的故障诊断新方法。
By analyzing the structure and the property of fuzz math, we set up a medical decision model based on fuzz integral with the patients' symptom being the reference guideline.
通过分析模糊积分的结构与性质，以症状的重视度和满意度作为参考指标，提出了基于模糊积分的医学决策模型。
Methods: 209 cases who took health examination were selected, the method of differentiation of symptoms and signs based on symptom factors differentiation was adopted.
方法：选择209例健康体检者为研究对象，采用证素辨证方法以及红细胞、血红蛋白指标进行研究。
The changing law of symptom value is analyzed and fuzzy normalization method based on fuzzy membership functions is built.
通过分析故障诊断征兆的变化规律，建立了基于模糊隶属函数的诊断征兆模糊化处理方案。
The OSAHS diagnosis has the varying degree obesity based on the symptom most patients, the neck is stubby, the abdomen swollens prosperously, the neck encircles, the girth of paunch to increase.
OSAHS诊断依据体征多数患者有不同程度的肥胖，颈项粗短，腹部膨隆，颈围、腹围增加。
The method then computes (308) an information-for-cost value for the symptom based on the cost value and the plurality of information values.
然后计算的方法(308)信息为成本价值的成本价值为基础的症状和信息价值的多元化。
This paper presents a new medical case analysis method which is based on the pattern classification technology, and deduces the type of illness from symptom.
本文将模式分类技术应用于医案数据的分析中，从已知的病症推断出所属的证型。
Results:The treatment based differentiation of symptoms and signs could effective control symptom of purpura haemorrhagica and upgrade the platelets. Conclusion:There could effect…
结论：中医辨证治疗血小板减少性紫癜能有效控制症状，同时减少糖皮质激素的不良反应。
Based on the frequency domain feature, energy eigenvector of frequency domain is presented using wavelet packet analysis method, and the way of best tree is used to choose symptom.
分析了用小波包能量分析方法提取故障信号特征向量的方法，并改进算法解决了小波包分解中的混频现象，根据最佳分解树进行了特征选择。
Based on the frequency domain feature, energy eigenvector of frequency domain is presented using wavelet packet analysis method, and the way of best tree is used to choose symptom.
分析了用小波包能量分析方法提取故障信号特征向量的方法，并改进算法解决了小波包分解中的混频现象，根据最佳分解树进行了特征选择。
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