Disease diagnosis system and data recommendation method

Abstract

The invention discloses a disease diagnosis system and a data recommendation method, and the system comprises a multi-modal data receiving and preprocessing module which is used for receiving multi-modal data, such as an enteroscopy image, an intestinal CT image, laboratory examination data and a patient main text, and carrying out the preprocessing, such as denoising and format unification, of the received data; and a disease diagnosis intelligent reasoning analysis engine which is used for receiving the multi-modal data processed by the multi-modal data receiving and preprocessing module as input, searching the closest disease by integrating the multi-modal data, and outputting a disease diagnosis result and a key basis. According to the method, mutual retrieval of multi-modal data can be achieved, doctors are helped to comprehensively analyze cross-department data in advance, the workload of cross-department data integration analysis is reduced, recommended diagnosis results are provided for the doctors, and missed diagnosis and misdiagnosis conditions of diseases can be reduced.

Description

technical field [0001] The invention relates to the technical field of medical systems, in particular to a disease diagnosis system and data recommendation method based on multimodal data learning. Background technique [0002] Machine learning image recognition continues to increase, which can remind doctors of lesion information and reduce their research workload, such as automatically prompting suspicious lesions under endoscopy, automatically screening images of suspected lesions for doctors to quickly review and other functions. However, these technologies only involve single-modal image analysis and recognition. In the face of complex clinical disease diagnosis, doctors still need to integrate various inspection data for comprehensive analysis. The diagnosis of more complex diseases such as inflammatory bowel disease (IBD) involves a variety of data types, such as intestinal enhanced CT examination, colonoscopy examination, pathological examination, blood test and clin...

AI Technical Summary

Problems solved by technology

Currently, there is no device or system that can assist physicians in making an accurate diagnosis of inflammatory bowel disease (IBD)

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