Lymph node metastasis prediction model construction and training method and device, equipment and medium

A lymph node metastasis and prediction model technology, applied in the field of machine learning, can solve the problems of low accuracy and specificity of lymph node metastasis prediction, and achieve the effect of improving diagnostic efficiency

Pending Publication Date: 2021-07-13
SHANGHAI NINTH PEOPLES HOSPITAL AFFILIATED TO SHANGHAI JIAO TONG UNIV SCHOOL OF MEDICINE
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Problems solved by technology

At present, the prediction of lymph node metastasis still relies on imaging and clinical specialist detection. Due to the differences in the professional

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  • Lymph node metastasis prediction model construction and training method and device, equipment and medium
  • Lymph node metastasis prediction model construction and training method and device, equipment and medium
  • Lymph node metastasis prediction model construction and training method and device, equipment and medium

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Embodiment Construction

[0022] Embodiments of the present application are described below through specific examples, and those skilled in the art can easily understand other advantages and effects of the present application from the content disclosed in this specification. The present application can also be implemented or applied through other different specific implementation modes, and various modifications or changes can be made to the details in this specification based on different viewpoints and applications without departing from the spirit of the present application. It should be noted that, in the case of no conflict, the following embodiments and features in the embodiments can be combined with each other.

[0023] It should be noted that the diagrams provided in the following embodiments are only schematically illustrating the basic idea of ​​the application, although only the components related to the application are shown in the drawings rather than the number, shape and shape of the com...

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Abstract

The invention provides a lymph node metastasis prediction model construction and training method and device, equipment and a medium. The method comprises the steps: obtaining a plurality of transcriptome sample sequencing data or a plurality of miRNA sample sequencing data, and screening m transcriptome markers or n miRNA markers from the data; dividing the sample sequencing data into a training set and a test set according to a one-leaving cross validation method; judging whether lymph node metastasis occurs or not so as to calculate a binarized metastasis value, performing mean value removal normalization processing, establishing a partial least squares regression model and a logistic regression model, and taking a score value of the test set as a prediction result to obtain a logistic regression prediction value of the test set; and repeating M times to complete the training of the lymph node metastasis prediction model. According to the method, the expression matrix of the marker is substituted into the machine learning model, so that the lymph node metastasis can be judged, the AUC can be improved to 90% or above by utilizing two-level data of the transcriptome and miRNA, and the diagnosis efficiency is greatly improved.

Description

technical field [0001] The present invention relates to the technical field of machine learning, in particular to a method, device, equipment and medium for constructing and training a lymph node metastasis prediction model. Background technique [0002] Oral squamous cell carcinoma is one of the most common malignant tumors of the oral and maxillofacial region. The 5-year survival rate of advanced oral squamous cell carcinoma is poor, and lymph node metastasis is an independent predictor of survival in patients with oral squamous cell carcinoma. Improving the prediction level of lymph node metastasis in patients with oral squamous cell carcinoma is conducive to guiding the formulation of treatment methods, and is one of the main ways to improve the survival rate of patients with oral squamous cell carcinoma clinically. At present, the prediction of lymph node metastasis still relies on imaging and clinical specialist detection. Due to the differences in the professional lev...

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Application Information

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IPC IPC(8): G16H50/50G16H50/20G16B30/00G06N20/00
CPCG16H50/50G16H50/20G16B30/00G06N20/00
Inventor 陈万涛张瑱邹欣曹巍
Owner SHANGHAI NINTH PEOPLES HOSPITAL AFFILIATED TO SHANGHAI JIAO TONG UNIV SCHOOL OF MEDICINE
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