Large health medical disease auxiliary diagnosis system and method based on intelligent terminal

Abstract

The invention discloses a large health medical disease auxiliary diagnosis system and method based on an intelligent terminal. The system comprises a user client, a doctor client, and an intelligent interaction terminal. The method comprises the steps: firstly carrying out the statistical division of large health medical data stored in the intelligent interaction terminal; constructing a corresponding definite diagnosis symptom set; acquiring user information through the user client, performing feature extraction, performing similarity calculation on the extracted feature information and the definite diagnosis symptom set, and returning diagnosis information; based on the diagnosis information, in combination with a doctor client, generating corresponding diagnosis suggestions and transmitting back to the user client to be displayed to complete auxiliary diagnosis. If online diagnosis is needed, the doctor client can conduct online diagnosis according to the diagnosis suggestions and asent consultation request, and the accuracy of a diagnosis result is improved.

Description

technical field [0001] The present invention relates to the field of medical information technology, in particular to a smart terminal-based auxiliary diagnosis system and method for general health medical diseases. Background technique [0002] There are large differences between patients, and there are many types of medical diseases. The corresponding diseases are common and have complex relationships. The diagnosis requires the coordination of multiple departments. It is difficult to standardize and automate the diagnosis, which makes the medical resources more tense. At the same time, in the medical process, there is a lack of patient initiative. Participation, it is easy to have the imagination of misdiagnosis and missed diagnosis. At present, the case data in the medical industry has basically been digitized. With the increasing demand for medical auxiliary diagnosis services, some hospitals or regions have also developed some knowledge base systems or software for auxi...

AI Technical Summary

Problems solved by technology

[0002] There are large differences between patients, and there are many types of medical diseases. The corresponding diseases are common and have complex relationships. The diagnosis requires the coordination of multiple departments. It is difficult to standardize and automate the diagnosis, which makes the medical resources more tense. At the same time, in the medical process, the patient lacks initiative. Participation, it is easy to have the imagination of misdiagnosis and missed diagnosis. At present, the case data in the medical industry has basically been digitized. With the increasing demand for medical auxiliary diagnosis services, some hospitals or regions have also developed some knowledge base systems or software for auxiliary decision-making systems. However, the knowledge base of the current clinical assistant decision-making system is relatively one-sided, and the matching of patient information is poor, resulting in deviations in the obtained diagnostic results.

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