Model system for kidney transplantation anti-rejection type classification and construction method thereof

Abstract

The invention discloses a model system for kidney transplantation rejection resistance type classification and a construction method of the model system, and solves the problem that various limitations exist in prediction and judgment of kidney transplantation rejection resistance at present. According to the technical scheme, the method is characterized by comprising a sample substrate, a sample data set, a Raman spectrometer, a classification model and actual sample data, wherein the Raman spectrometer is used for detecting samples to obtain spectral data; the classification model is established for classification prediction; the actual sample data is used for verifying classification results of the classification model; the method comprises the following steps: detecting a sample through a Raman spectrometer to obtain spectral data, training and testing an established classification model through the spectral data to obtain a convergent classification model, verifying the obtained classification model through actual sample data, and carrying out classification discrimination through the classification model. According to the model system for renal transplantation anti-rejection reaction type classification and the construction method thereof, the classification model can be efficiently, simply and conveniently obtained, and then classification judgment can be accurately carried out.

Description

technical field [0001] The invention relates to medical data classification technology, in particular to a model system for classifying anti-rejection types of kidney transplantation and a construction method thereof. Background technique [0002] Kidney transplantation is the most effective treatment for end-stage kidney disease, but the survival of patients is affected by many factors, the most important of which is the occurrence of anti-rejection reactions after kidney transplantation. [0003] At present, the classification and judgment of renal transplantation anti-rejection still needs to be based on the patient's organ transplant biopsy and histopathological examination. The cost is high, and the detection is a late indicator, and tissue biopsy is required, which has many limitations. It is also generally difficult to be accepted by patients. There is an urgent need for efficient, simple, fast and accurate technology that can be accepted by patients. Contents of t...

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Problems solved by technology

[0003] At present, the classification and judgment of renal transplantation anti-rejection still needs to be based on the patient's organ transplant biopsy and histopathological examination. The cost is high, and the detection is a late indicator, and tissue biopsy is required, which has many limitations. It is also generally difficult for patients to accept

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