Rare disease auxiliary analysis method and device based on artificial intelligence and storage medium

Abstract

The invention discloses a rare disease auxiliary analysis method based on artificial intelligence. The method comprises the following steps of: obtaining a rare patient behavior log in a log source; extracting related features of a rare patient in the rare patient behavior log; performing similarity comparison on the related features of the rare patient and rare patient feature vectors in a rare patient feature library, and selecting the rare patient feature vector with the highest similarity as the feature vector of the rare patient; pushing a corresponding treatment scheme to the rare patient according to the feature vector of the rare patient; and conducting clustering analysis on the feature vector of the rare patient, and adding the feature vector of the rare patient to a corresponding position of a group feature library according to the clustering analysis result. According to the method, the group feature library can be perfected, a rare disease knowledge database can be established, the behaviors of a user can be analyzed, a corresponding treatment scheme can be pushed to the user according to the analysis result, and the problems of rare disease patient multivariate heterogeneous data storage and automatic analysis are solved.

Description

technical field [0001] The present disclosure relates to the technical field of computer vision, and in particular to an artificial intelligence-based auxiliary analysis method, device and storage medium for rare diseases. Background technique [0002] (1) Research progress in gene sequencing diagnosis of patients with rare diseases [0003] It took 10 years from the completion of the first human genome sequencing on June 26, 2000, to the first discovery of the cause of disease based on gene sequencing, the implementation of treatment, and the cure and discharge. The development of gene sequencing technology has enabled it to have the ability to diagnose rare diseases. In December 2010, Nicholas Walker, a five-year-old boy living in Milwaukee, Wisconsin, had undergone more than a hundred surgeries, but his condition did not improve but tended to deteriorate. The doctor believed that the cause of this rare disease could not be confirmed by conventional means, and proposed t...

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Problems solved by technology

In December 2010, Nicholas Walker, a five-year-old boy living in Milwaukee, Wisconsin, had undergone more than a hundred surgeries, but his condition did not improve but tended to deteriorate

[0012] (1) Research on rare diseases requires close integration of clinical, genetic, and basic researchers, as well as sequencing platforms and information analysis platforms. There is no one-stop medical center in my country that integrates multiple resources like the Hopkins-Baylor Rare Disease Center in the United States ;(2) The sample databases and hospital information systems of each hospital lack a sharing mechanism, and there are multiple "islands of resources and information", and the small scale of data application results in insufficient data value mining; (3) Due to the lack of a unified sample resource and information platform , resulting in poor resources for international cooperation and data sharing, and insufficient samples and information for effective research; (4) The standardization of sample collection standards, gene sequencing standards, and data analysis standards has not been perfected, and cannot be achieved by directly merging resources Integrated applications; (5) There is a lack of a network platform to integrate national medical and information resources. Although some domestic scientific research institutions and companies have provided genetic information analysis services within a certain range, due to the problem of intellectual property loss in the analysis of commercial companies, they cannot meet the needs of scientific research. Unit's Huge Analytical Needs

These factors limit the medical practice of rare diseases in my country and the development of related scientific research

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