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Method for researching relevance between smoking and disease incidence of lung cancer patient

A correlation and patient-based technology, which is applied in the field of research on the correlation between smoking and disease of lung cancer patients, can solve problems such as research on the correlation between disease status and smoking status, and achieve the effect of reducing the incidence of lung cancer

Inactive Publication Date: 2019-09-10
JILIN UNIV FIRST HOSPITAL
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AI Technical Summary

Problems solved by technology

[0003] At present, in the process of lung cancer diagnosis and treatment, it is found that there is a relationship between lung cancer patients and smoking status. With the development of data technology, if it is possible to quantitatively calculate and analyze the correlation between smoking and disease by collecting data on a large number of lung cancer patients and their smoking status, and using a cloud computing platform to conduct statistical analysis based on big data, it will be necessary It will play an important guiding role in the diagnosis and prevention of lung cancer

Method used

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  • Method for researching relevance between smoking and disease incidence of lung cancer patient

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Embodiment Construction

[0015] The principles and features of the present invention are described below in conjunction with the accompanying drawings, and the examples given are only used to explain the present invention, and are not intended to limit the scope of the present invention.

[0016] Such as figure 1 As shown, a method for researching the association between smoking and disease in patients with lung cancer comprises the following steps:

[0017] Step 1: Obtain detailed information of lung cancer patients, including the patient's own smoking status, duration of illness, and smoking status of people around him;

[0018] Step 2: Calculate the list between the patient's own smoking status and illness duration, and calculate the risk of smoking and illness D1;

[0019] Step 3: Calculate the list between the smoking status of the people around the patient and the duration of the illness, and calculate the smoking status and disease risk D2 of the people around the patient;

[0020] Step 4: No...

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Abstract

The invention relates to a method for researching relevance between smoking and disease incidence of a lung cancer patient. The method comprises the steps of performing statistics on basic data and smoking condition of the patient, performing risk evaluation according to a statistics result, finally uploading all data to a cloud server, and performing classified storage of big data samples througha processor in the cloud server. Through the risk evaluating model based on big data, a risk coefficient can be immediately obtained through supplying the disease incidence condition and the smokingcondition by the patient, thereby facilitating visual observation and researching analysis on the relevance between smoking and lung cancer occurrence by a doctor, further guiding life of a lung cancer susceptible population, and reducing lung cancer incidence rate.

Description

technical field [0001] The invention relates to the technical field of management of lung cancer patients, in particular to a method for researching the correlation between smoking and illness of lung cancer patients. Background technique [0002] Lung cancer is the most common malignant tumor in the world today, and its mortality rate ranks first among all kinds of tumors, posing a great threat to human health and life. In my country, lung cancer causes about 500,000 patients to die every year, accounting for 28% of the total cancer cases, while the 5-year survival rate of lung cancer patients is only 14%. However, studies have shown that the 10-year survival rate after surgery for stage I lung cancer can reach 92%. Therefore, the key to reducing the mortality of lung cancer patients lies in early diagnosis and early treatment. [0003] At present, in the process of lung cancer diagnosis and treatment, it is found that there is a relationship between lung cancer patients ...

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Application Information

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IPC IPC(8): G16H50/30G16H50/70
CPCG16H50/30G16H50/70
Inventor 华树成
Owner JILIN UNIV FIRST HOSPITAL
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