Survival prediction system, method and terminal for major salivary gland cancer patient

A salivary gland cancer and survival prediction technology, applied in the field of data processing, can solve problems such as unpredictable survival rate of major salivary gland patients, and achieve the effect of easy popularization, accurate prediction and strong reliability

Pending Publication Date: 2021-09-07
SHANGHAI NINTH PEOPLES HOSPITAL AFFILIATED TO SHANGHAI JIAO TONG UNIV SCHOOL OF MEDICINE
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In view of the shortcomings of the prior art described above, the purpose of the present invention is to provide a survival prediction system, method and terminal for patients with major salivary gl

Method used

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  • Survival prediction system, method and terminal for major salivary gland cancer patient
  • Survival prediction system, method and terminal for major salivary gland cancer patient
  • Survival prediction system, method and terminal for major salivary gland cancer patient

Examples

Experimental program
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Example Embodiment

[0063] Example 1: A large salivary gland cancer survival prediction system.

[0064] Acquisition module for acquiring basic information and survival data 11362 diagnosed with a large salivary gland by pathological examination of the patient. By random sampling method, according to the 11 362 patients 7: 3 ratio is divided into a training set (7953 patients) and validation set (3409 patients). Wherein the basic information includes: age, gender, race, marital status, location, differentiation, the AJCC staging, T \ N \ M stage, tumor size, histological type, whether the operation, whether or lymph nodes.

[0065] Preliminary screening module, connected with the acquisition module for basic training set data were constructed proportional hazards regression model, results show that the prediction of overall survival, univariate proportional hazards regression model indicated that all predictors have predictive value (P <0.001); multivariate proportional hazards regression model resul...

Example Embodiment

[0072] The following specific examples provided in conjunction with the accompanying drawings:

[0073] like Figure 4 Shows a schematic flowchart of the present invention is a method for prediction of survival large salivary gland cancer patients in the embodiment.

[0074] The method includes:

[0075] Step S41: acquiring basic data of a plurality of patients diagnosed with a large salivary gland; wherein said data base comprises: basic personal data and survival data.

[0076] Optionally, the basic personal data comprising: age, gender, race, marital status, location, differentiation, the AJCC staging, T \ N \ M stage, tumor size, histological type, whether the operation, whether or lymph nodes.

[0077] Step S42: According to the basic data of patients diagnosed with major salivary gland constructed to predict the overall survival and / or proportional hazards regression model was used to predict cancer-specific survival, in order to obtain a more preliminary predictor of overa...

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Abstract

According to a survival prediction system, method and terminal for a major salivary gland cancer patient, a large amount of information data information of the patient is collected, proper prediction factors are screened through proportional risk regression and a lasso algorithm, and a column diagram is drawn by constructing a proportional risk model; and the screened predictive factors are clinically common information, have the advantages of being easy to collect and high in reliability, so the system, the method and the terminal are convenient to popularize and use. By constructing the proportional risk model to draw the column diagram, the overall survival rate and the cancer specific survival rate of the large saliva patient can be efficiently and accurately predicted, and the problems in the prior art are solved.

Description

technical field [0001] The invention relates to the technical field of data processing, in particular to a survival prediction system, method and terminal for patients with major salivary gland cancer. Background technique [0002] Major salivary gland carcinoma is cancer that occurs in the three pairs of major salivary glands, including the parotid, submandibular, and sublingual glands. Major salivary gland cancer is relatively rare clinically, and the incidence rate is low. According to statistics, the global incidence of salivary gland cancer is about 0.9-2.6 cases per 100,000 people. Nevertheless, major salivary gland carcinoma grows rapidly, easily invades surrounding bone, blood vessel, nerve and other tissues, and has a poor prognosis, which seriously threatens human life and health. The pathological types of major salivary gland carcinoma are complex and diverse. The biological behaviors of different pathological types are very different. Due to the complex and di...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G16H50/30G06K9/62
CPCG06Q10/04G16H50/30G06F18/214
Inventor 郭陟永张陈平刘剑楠韩婧王梓霖刘一戈
Owner SHANGHAI NINTH PEOPLES HOSPITAL AFFILIATED TO SHANGHAI JIAO TONG UNIV SCHOOL OF MEDICINE
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