Common disease auxiliary self-diagnosis system based on laboratory medicine big data

Abstract

The invention provides a common disease auxiliary self-diagnosis system based on laboratory medicine big data, and relates to the field of laboratory medicine big data. The common disease auxiliary self-diagnosis system based on the laboratory medicine big data is provided for common diseases, a user can conveniently and quickly carry out self-diagnosis on the common diseases, and therefore, the situation that medical resources are wasted due to common small diseases is relieved; the illness state inference end is trained by using laboratory medicine big data, so that the detection accuracy is greatly improved; a natural language processing end is constructed through a Rasa framework, so that a user can communicate with a machine system through a natural language, and the use process is simple, natural and rapid; the illness state is reasoned through the illness state reasoning end based on the semi-supervised learning model, a small part of training data is labeled, and the training data and unlabeled training data are input into the semi-supervised learning model for training, so a good prediction effect is achieved, and the manual labeling cost is greatly saved.

Description

technical field [0001] The invention relates to the field of laboratory medicine big data, in particular to an auxiliary self-diagnosis system for common diseases based on laboratory medicine big data. Background technique [0002] The 21st century is an era of data explosion, and medicine is no exception. Medicine is changing with each passing day in terms of breadth and depth, evidence-based medicine is deeply rooted in the hearts of the people, and information-based medical care is developing rapidly. On the other hand, the rapid development of computer technology has led to continuous expansion of storage capacity and continuous reduction of costs. Medical knowledge and medical information are growing exponentially. "Big data", a hot word in recent years, has been widely used in all walks of life, especially in the field of medical testing. However, there are not many practical applications in our country, and it is waiting for our inspection workers to gradually deve...

AI Technical Summary

Problems solved by technology

However, there are not many practical applications in our country, and it is waiting for our inspection workers to gradually develop applications

Big data refers to a huge amount of data, but it cannot be managed, extracted, and organized into useful information within a reasonable time through current mainstream software tools. It is worth thinking about

[0003] In the past, medical institutions used paper files to record medical data and medical activities. These paper file data are unstructured data, which is very difficult to use. Although there is a large amount of data, it cannot be used

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