Traditional Chinese medicine symptom semantic recognition method and device based on natural language
A technology of semantic recognition and natural language, applied in natural language translation, natural language data processing, instruments, etc., can solve problems such as difficult to express and generate correct TCM consultation judgment, unable to give appropriate automatic diagnosis, etc.
Active Publication Date: 2017-12-19
智慧中医科技(广东)有限公司
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[0003] As far as the automatic diagnosis mechanism is concerned, the key technology is how to extract appropriate keywords from the text or voice data input by the patient, and learn and analyze the information input by the patient according to the existing diagnosis and treatment cases stored, and give the patient Make a preliminary diagnosis; in this regard, the algorithms for semantic recognition and semantic analysis in the prior art are basically analyzed based on people's daily expressions, but the machine learning case of this mechanism is based on existing diagnosis and treatment cases. Cases are generally written by doctors based on the consultation process with patients, and the terms used to describe the disease are medical terms, which are quite different from people’s daily life terms; especially for Chinese medicine, due to the learning and problems of Chinese medicine The consultation is based on many classical Chinese documents. Therefore, there are a large number of four-character phrases and archaic words in Chinese medicine, which are obviously different from the current people's daily language. Based on the existing semantic recognition algorithm, it is difficult to accurately according to the user's expression Generating correct TCM interrogation judgments, resulting in the inability to give appropriate automatic diagnoses
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[0042] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments, wherein the schematic embodiments and descriptions are only used to explain the present invention, but are not intended to limit the present invention.
[0043] First aspect, such as figure 1 As shown, the present invention provides a kind of semantic recognition method of TCM syndrome based on natural language, comprising:
[0044] S100: extracting at least one disease unit sequentially from the acquired clinical manifestation information, and generating a disease sequence according to the extracted disease unit and its extraction order;
[0045] Specifically, the clinical performance information includes the user's expression of his own condition and physical feelings input by voice or text.
[0046] Specifically, the disease unit is a keyword expressed by the user about his own condition or body feeling, such as dizziness, dizziness, headache...
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The invention provides a traditional Chinese medicine symptom semantic recognition method and device based on natural language. Based on clinical manifestations input by a user, a statement about crucial symptoms can be rapidly recognized; through comparison with a preset database, the acquired statement of the crucial symptoms is recognized and transformed into professional traditional Chinese medicine symptom language which can be viewed and consulted by a patient and a doctor.
Description
technical field [0001] The invention relates to the field of natural language processing, in particular to a natural language-based semantic recognition method and device for TCM symptoms. Background technique [0002] With the development of information technology, more and more things can be done without leaving home. New ways of seeing a doctor such as online consultation and remote consultation have gradually entered people's sight. For this kind of remote consultation method, since it is impossible for doctors to sit in front of the computer anytime and anywhere to answer patients' questions, in order to ensure that some basic questions of patients can be quickly returned, an automatic diagnosis mechanism needs to be established. [0003] As far as the automatic diagnosis mechanism is concerned, the key technology is how to extract appropriate keywords from the text or voice data input by the patient, and learn and analyze the information input by the patient according ...
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IPC IPC(8): G06F17/27G06F17/28G06F17/30
CPCG06F16/2458G06F40/279G06F40/58
Inventor 李春新梁耀佳李斯泽
Owner 智慧中医科技(广东)有限公司