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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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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 gland cancer, which is used to solve the problem that there is no accurate and effective method in the prior art to predict the survival of patients with major salivary gland cancer. The question of survival

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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

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Embodiment 1

[0063] Example 1: A survival prediction system for patients with major salivary gland cancer.

[0064] The acquisition module is used to acquire the basic information and survival data of 11,362 patients diagnosed with major salivary gland carcinoma by pathological examination. By random sampling method, 11362 patients were divided into training set (7953 patients) and validation set (3409 patients) according to the ratio of 7:3. Wherein, the basic information includes: age, sex, race, marital status, location, degree of differentiation, AJCC staging, T\N\M staging, tumor size, pathological type, operation or not, and lymph node dissection or not.

[0065] The preliminary screening module is connected to the acquisition module, which is used to construct the proportional hazards regression model with the basic data of the patient in the training set. The results show that for the prediction of overall survival, the single factor proportional hazards regression model shows that...

specific Embodiment

[0073] Such as Figure 4 A schematic flowchart showing a method for predicting the survival of patients with major salivary gland cancer in an embodiment of the present invention.

[0074] The methods include:

[0075] Step S41: Obtain basic data of a plurality of patients diagnosed with major salivary gland cancer; wherein, the basic data include: personal basic data and survival data.

[0076] Optionally, the personal basic data include: age, gender, race, marital status, location, degree of differentiation, AJCC stage, T\N\M stage, tumor size, pathological type, whether to undergo surgery, whether to dissect lymph nodes.

[0077] Step S42: Construct a proportional hazards regression model for overall survival prediction and / or cancer-specific survival prediction based on the basic data of patients diagnosed with salivary gland cancer, so as to obtain multiple preliminary overall survival predictors and / or Preliminary cancer-specific survival predictors.

[0078] Optional...

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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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