Cancer prediction system based on early cancer screening questionnaire and feedforward neural network

A feedforward neural network and prediction system technology, applied in the field of cancer prediction system, can solve the problems of inconvenience, large amount, time-consuming and manpower of patients and doctors, and achieve the effect of reducing workload, simple operation and clear results.

Pending Publication Date: 2022-04-08
UNIV OF JINAN +2
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  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

[0006] 1. Before cancer diagnosis, a lot of manpower and material resources are needed to screen out high-risk groups
[0007] 2. In the previous cancer diagnosis process, doctors were required to conduct va

Method used

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  • Cancer prediction system based on early cancer screening questionnaire and feedforward neural network
  • Cancer prediction system based on early cancer screening questionnaire and feedforward neural network
  • Cancer prediction system based on early cancer screening questionnaire and feedforward neural network

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Embodiment 1

[0038] Such as figure 1 , the present embodiment provides a cancer prediction system based on early cancer screening questionnaire and neural network, including:

[0039] (1) The data acquisition module acquires the sample data in the early cancer screening questionnaire. The sample data mainly includes the patient’s lifestyle, personal medical history, cancer family history, environmental factors, pathological data, and other factors collected by the questionnaire. information. And export and convert the questionnaire data into the format required by the predictive model. Among them, the private information in the sample data is ignored, and the questionnaire sample data is saved in the format required by the prediction model. Desensitize the data set, filter personal privacy information such as name, ID number, contact information, and select the input and output characteristic attributes of the model from the initially established data set. Remove unnecessary sample reco...

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Abstract

The invention provides a cancer prediction system based on an early cancer screening questionnaire and a feedforward neural network, and the system comprises a data obtaining module which is configured to obtain sample data of the questionnaire, and the sample data comprises patient lifestyle, individual disease history, cancer family history, environmental factors and pathological data collected by the questionnaire; the feature extraction module is configured to extract feature data of the sample data; and the cancer probability prediction module is configured to obtain a cancer prediction probability by adopting a trained cancer prediction model based on the feature data.

Description

technical field [0001] The invention belongs to the field of medical diagnosis, and in particular relates to a cancer prediction system based on an early cancer screening questionnaire and a feedforward neural network. Background technique [0002] The statements in this section merely provide background information related to the present invention and do not necessarily constitute prior art. [0003] Cancer traditionally refers to all malignant tumors, referring to a fatal progressive disease. The occurrence of cancer is a long-term and gradual process that goes through multiple pathological stages, which can be divided into three processes: carcinogenesis, cancer promotion, and evolution. Cancer is one of the major diseases that damage human health worldwide. Most malignant tumors have no obvious symptoms in the early stage and are already in the middle and late stages when they are discovered, thus losing the best time for treatment and causing great psychological and ph...

Claims

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Application Information

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IPC IPC(8): G16H50/20G16H50/30G16H50/70G06F21/62G06F16/28G06K9/62G06N3/04G06N3/08
Inventor 孙明旭谢双波肖凌凤陈艳丽徐元章罕
Owner UNIV OF JINAN
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