Venereal disease diagnosis system based on clinical symptom features

Abstract

The invention provides a venereal disease diagnosis system based on clinical symptom features, which comprises a features preprocessing unit, a classification and clustering unit, a model constructionunit and a venereal disease prediction unit, wherein the features preprocessing unit is used for marking and preprocessing the collected various venereal disease clinical symptom features of a patient; the classification and clustering unit is used for classifying and clustering the various venereal disease clinical symptom features through a classification algorithm and a clustering algorithm, setting the weight of each venereal disease clinical symptom feature acting on each venereal disease, and constructing a training set based on the venereal disease clinical symptom features and the venereal diseases; the model construction unit is used for training the training set through deep learning and a neural network model and obtaining a venereal disease diagnosis model based on the deep learning and the neural network; and the venereal disease prediction unit is used for outputting a diagnosis result according to the clinical symptom features of the to-be-identified crowd input into the venereal disease diagnosis model. According to the invention, the diagnosis accuracy can be greatly improved, the risk of missed diagnosis and misdiagnosis is reduced to the maximum extent, and unnecessary medical processes are reduced.

Description

technical field [0001] The invention relates to the technical field of artificial intelligence, in particular to a venereal disease diagnosis system based on clinical symptom characteristics. Background technique [0002] The coverage of sexually transmitted diseases has been expanded to include at least 50 kinds of diseases caused by pathogenic microbial infections, including the traditional five kinds of sexually transmitted diseases and non-gonococcal urethritis, genital warts, genital herpes, AIDS, bacterial vaginosis, Vulvovaginal candidiasis, vaginal trichomoniasis, scabies, pubic lice and hepatitis B, etc. At present, the sexually transmitted diseases that our country requires to focus on are syphilis, gonorrhea, genital Chlamydia trachomatis infection, condyloma acuminatum, genital herpes and AIDS. Due to the wide variety of STDs and the serious imbalance in the number of doctors and patients, an STD diagnosis system is often required for auxiliary diagnosis to achi...

AI Technical Summary

Problems solved by technology

[0003] In view of this, the present invention proposes a venereal disease diagnosis system based on clinical symptom characteristics to solve the problem that the traditional venereal disease diagnosis system has absolute diagnostic methods, low accuracy and easy misdiagnosis

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