Tumor risk multiple calculation method and system based on blood examination indexes

Abstract

The invention discloses a tumor risk multiple calculation method and system based on a blood examination index, and belongs to the field of medical data processing. The system comprises a data obtaining module, which is used for obtaining a blood routine laboratory sheet picture, a blood biochemical laboratory sheet picture and a tumor marker laboratory sheet picture, identifying detection indexes, age and gender in the blood routine test sheet picture, the blood biochemical test sheet picture and the tumor marker test sheet picture, or directly importing related data from electronic data; and a tumor risk multiple calculation module, which is used for predicting the increase multiple of the tumor disease risk of the to-be-detected person relative to the average crowd risk, wherein the calculation process of the tumor risk multiple calculation module comprises the steps that classified learning samples are established for non-tumor people and tumor disease people, the learning samples are used for training a tumor disease risk model, the tumor disease risk model is used for an average population sample to calculate an average population tumor disease risk value, and the tumor risk value of the to-be-detected person is divided by the average group tumor risk value to obtain a tumor risk increasing multiple. The tumor risk multiple is predicted by using blood routine examination, blood biochemistry and tumor marker detection indexes, and a tumor risk early warning mode is innovated.

Description

technical field [0001] The invention belongs to the field of medical data processing, and relates to a method and system for calculating tumor risk multiples based on blood test indicators. Background technique [0002] The statements in this section merely provide background information related to the present invention and do not necessarily constitute prior art. [0003] At present, the prediction of cancer risk on the market often uses the technology of detection of susceptibility genes. However, detection based on susceptibility genes can only predict the risk of cancer in a lifetime, and cannot dynamically reflect the status of tumor presence in the body. Moreover, genetic testing is expensive and difficult to popularize. [0004] Blood routine, blood biochemistry, and tumor markers contain a large amount of human health information. Many specific indicators are commonly used sensitive indicators, which are sensitive to many pathological changes in the body. Many pat...

AI Technical Summary

Problems solved by technology

However, the detection based on susceptibility genes can only predict the risk of cancer in a lifetime, and cannot dynamically reflect the status of the presence or absence of tumors in the body

Moreover, genetic testing is expensive and difficult to popularize

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