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CHINESE TRADITIONAL MEDICINE SYNDROME ELEMENT DIFFERENTIATION METHOD AND DEVICE

机译:中医证候元素鉴别方法及装置

摘要

A Chinese traditional medicine syndrome element differentiation method and device. The method comprises: receiving symptom information to be categorized (S101); categorizing the symptom information by a first number of trained symptom categorizers to acquire a first number of categorization results, so as to perform a preliminary prediction on whether the symptom information belongs to syndrome elements in predetermined syndrome element information (S102); performing, according to the first number of categorization results and a predetermined confidence threshold, a secondary prediction of whether the symptom information belongs to the syndrome elements in the syndrome element information, and determining, according to a result of the secondary prediction, all syndrome elements to which the symptom information belongs (S103); performing synthesis and outputting, on the basis of all of the syndrome elements of the symptom information, a syndrome name corresponding to the symptom information (S104), thereby effectively enhancing the high-dimensional data processing capability and generalization capability of syndrome element differentiation and correlation between syndrome elements. Furthermore, feature selection is not needed in a syndrome element differentiation process, thus effectively enhancing syndrome element differentiation efficiency and differentiation effectiveness.
机译:一种中医辨证分型方法和装置。该方法包括:接收要分类的症状信息(S101);通过第一数量的经过训练的症状分类器对症状信息进行分类以获得第一数量的分类结果,从而对预定的症状元素信息中的症状信息是否属于症状元素进行初步预测(S102);根据分类结果的第一数量和预定的置信度阈值,对症状信息是否属于校正子元素信息中的校正子元素进行二次预测,并根据二次预测的结果确定所有校正子元素症状信息所属(S103);基于症状信息的所有症状元素进行合成并输出与症状信息相对应的症状名称(S104),从而有效地增强了高维数据处理能力和症状元素区分与相关的泛化能力在证候元素之间。此外,在证候元素区分过程中不需要特征选择,从而有效地提高了证候元素区分效率和区分效果。

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