Disease auxiliary diagnosis method based on variant NLP algorithm
A technology for auxiliary diagnosis and disease, applied in the field of intelligent interaction, which can solve the problem of no disease auxiliary diagnosis method.
Pending Publication Date: 2020-06-23
太平洋健康保险股份有限公司
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Problems solved by technology
[0003] At present, there is no technical solution that can solve the above-mentioned technical problems, specifically, there is no method for aided diagnosis of diseases based on the variant NLP algorithm
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[0042] In order to better clearly express the technical solution of the present invention, the present invention will be further described below in conjunction with the accompanying drawings.
[0043] figure 1 Showing a specific embodiment of the present invention, a specific flowchart of a disease-aided diagnosis method based on a modified NLP algorithm, NLP (Natural Language Processing) is a subfield of artificial intelligence (AI), and disease diagnosis is based on Symptoms, signs, auxiliary examinations and other methods are comprehensively considered to judge, and in the present invention, a modified NLP algorithm is actually used, which utilizes NLP technology, medical diagnosis approximate thesaurus, and medical diagnosis thesaurus to dialogue more specifically, the technical solutions adopted in the present invention match the user's input information with the big data in the medical database, so as to obtain a matching result that matches the user's input information....
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The invention provides a picture retrieval method based on feature extraction, and a disease auxiliary diagnosis method based on a variant NLP algorithm. The method comprises the following steps: a, receiving input information of a user through man-machine questioning and answering; b, processing the input information based on an NLP algorithm and a medical diagnosis approximate lexicon, and determining at least a first primary disease and a second primary disease; c, performing screening operation on the first primary disease and the second primary disease based on a disease library, determining a first disease most matched with the first primary disease, and determining a second disease most matched with the second primary disease; d, calculating a first auxiliary reference value of thedisease based on the following formula: sigma initial weight alpha * value, wherein the value represents a symptom specificity index of the first disease or the second disease; and d, determining an auxiliary diagnosis result of the user based on the first auxiliary reference value. The method is powerful in function and convenient to use, and has extremely high commercial value.
Description
technical field [0001] The invention belongs to the field of intelligent interaction technology, and in particular relates to a method for aided disease diagnosis based on a variant NLP algorithm. Background technique [0002] NLP (Natural Language Processing) is a subfield of artificial intelligence (AI). The diagnosis of diseases is based on comprehensive consideration of symptoms, signs, and auxiliary examinations. For any disease, its symptoms, signs, and auxiliary examinations have certain specificity. The higher the specificity, the greater the value for diagnosing the disease. According to the specificity, the present invention assigns a weight to any disease feature, and judges the possibility of the disease comprehensively based on the number of features. [0003] However, at present, there is no technical solution capable of solving the above technical problems, specifically, there is no method for aided disease diagnosis based on a variant NLP algorithm. Conte...
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IPC IPC(8): G16H50/20G06N20/00
CPCG16H50/20G06N20/00
Inventor 张诚龚晨蒋菁李莉薛志艳
Owner 太平洋健康保险股份有限公司