System for diagnosing osteoarthritis subtype through blood sample based on machine learning

Abstract

The invention relates to a system for diagnosing the osteoarthritis subtype through a blood sample based on machine learning. The system comprises 1) a collection module, 2) an osteoarthritis and normal people recognition and identification module which is used for recognizing and identifying the osteoarthritis and normal people and 3) an osteoarthritis subtype recognition and identification module which is used for recognizing and identifying the osteoarthritis subtype. The invention establishes a prediction method and system tool for accurately diagnosing the osteoarthritis subtype through ablood sample based on a machine learning support vector machine, the gene expression difference between the osteoarthritis and the normal people is analyzed by the means of bioinformatics, patients of the osteoarthritis are grouped, and a diagnosis model for osteoarthritis patient and osteoarthritis subtype recognition is established by using a method of machine learning. The method can realize accurate diagnosis for the osteoarthritis patients and provide a reference for a subsequent treatment scheme.

Description

Technical field [0001] The invention relates to the technical fields of bioinformatics data analysis, machine learning, etc., and in particular to a method and system for accurately diagnosing osteoarthritis subtypes through blood samples based on a machine learning method. The main content is to analyze the sequencing data of blood samples of normal people and patients with osteoarthritis, and establish a diagnostic model through machine learning to distinguish the difference in gene expression between normal people and patients with osteoarthritis subtypes, and achieve accurate diagnosis of osteoarthritis purpose. Background technique [0002] With the advancement of precision medicine programs, high-throughput gene sequencing technology will play an increasingly critical role in the future precise diagnosis of diseases, classification of disease subtypes, precise monitoring of disease occurrence and development, precise guidance of medication, and establishment of specific dis...

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Problems solved by technology

[0003] In osteoarthritis, there has been evidence that the sequencing information of blood samples can be distinguished from the normal population, with an accuracy rate of over 95%. At the same time, RNA-seq sequencing analysis of osteoarthritis cartilage tissue found that bone There are two subtypes of osteoarthritis, but due to the difficulty in obtaining cartilage tissue, this method has certain limitations in the diagnosis and typing of osteoarthritis

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