Esophageal squamous carcinoma risk prediction system

A technology for esophageal squamous cell carcinoma and risk prediction, applied in medical informatics, medical data mining, medical simulation, etc., can solve the problems of reducing the accuracy of risk calculation, low quality of evidence classification, and ineffective use of survival data. Achieve the effect of excellent predictive ability and good discrimination ability

Pending Publication Date: 2022-04-22
AFFILIATED CANCER HOSPITAL OF SHANDONG FIRST MEDICAL UNIV SHANDONG CANCER INST SHANDONG CANCER HOSPITAL +1
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The current prediction model for esophageal squamous cell carcinoma has the following defects: (1) The prediction model established based on case-control studies has a low level of evidence quality in evidence-based medicine and is a discriminative model
(2) The predictive model based on the cohort uses unconditional univariate logistic regression,

Method used

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  • Esophageal squamous carcinoma risk prediction system
  • Esophageal squamous carcinoma risk prediction system
  • Esophageal squamous carcinoma risk prediction system

Examples

Experimental program
Comparison scheme
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Example Embodiment

[0056] Embodiment 1 Method of using the risk prediction system of the present invention

[0057] The user inputs the aforementioned age, gender, number of lesions, smoking status, drinking status, BMI, pickled food intake, obvious lesions and mild to moderate dysplasia through the input module, and the calculation module can bring the aforementioned information into Model1 or Model2 calculates to get the probability of esophageal squamous cell carcinoma, which is presented to the user through the output module.

[0058] The model of the present invention is the key technical feature of the esophageal squamous cell carcinoma risk prediction model, and is directly related to the prediction effect; the following will further illustrate the prediction effect of the model of the present invention by way of an experimental example.

[0059] 1 Inclusion criteria

[0060] This study took the population participating in the esophageal cancer screening project in Shandong Province as t...

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Abstract

The invention discloses an esophageal squamous carcinoma risk prediction system, which comprises an input module, a calculation module and an output module, esophageal squamous carcinoma three-year risk prediction models Model1 and Model2 are built in the calculation module, and the two prediction models are obtained based on cancer screening data of Chinese population. Through internal and external verification, the model disclosed by the invention has better discrimination capability, is higher than the c-statuses (area under an ROC curve) of the previous model, and has good discrimination capability and clinical significance. According to the risk prediction system disclosed by the invention, the esophageal squamous cell carcinoma prediction models Model1 and Model2 are built in, so that the risk of esophageal squamous cell carcinoma can be effectively predicted, and the application prospect is good.

Description

technical field [0001] The invention relates to a risk prediction system for esophageal squamous cell carcinoma, in particular to a prediction system for predicting the risk of esophageal squamous cell carcinoma in healthy people. Background technique [0002] Among noncommunicable diseases, cancer has emerged as a particularly important health problem. Cancer is the first or second leading cause of premature death (ie death between 30-69 years) in more than 90 countries around the world. [0003] In addition, esophageal squamous cell carcinoma remains the main type of esophageal cancer in Asia, Africa and South America, and African Americans in North America. [0004] In 2005, the state issued guidelines for cancer screening, early diagnosis and early treatment in China, including guidelines for early detection and treatment of esophageal cancer. The guidelines pointed out that it is suitable for high-incidence areas of esophageal cancer in rural areas of China and high-ri...

Claims

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Application Information

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IPC IPC(8): G16H50/50G16H50/30G16H50/70
CPCG16H50/50G16H50/30G16H50/70
Inventor 王家林薛付忠
Owner AFFILIATED CANCER HOSPITAL OF SHANDONG FIRST MEDICAL UNIV SHANDONG CANCER INST SHANDONG CANCER HOSPITAL
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