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Processing method for predicting e-antigen seroconversion rate and device thereof

A conversion rate and antigen technology, applied in the field of medical prediction, can solve problems such as low accuracy and difficulty in accurately restoring interactions, and achieve the effect of improving accuracy

Pending Publication Date: 2019-05-17
BEIJING DITAN HOSPITAL CAPITAL MEDICAL UNIV
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Problems solved by technology

[0003] The existing technology usually uses a linear model, such as the Cox regression model, to predict the e-antigen seroconversion rate, but it is difficult to accurately restore the interaction between the complex internal environment and external conditions of the human body, and the accuracy is not high

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  • Processing method for predicting e-antigen seroconversion rate and device thereof
  • Processing method for predicting e-antigen seroconversion rate and device thereof
  • Processing method for predicting e-antigen seroconversion rate and device thereof

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Embodiment Construction

[0026] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0027] figure 1 It is a schematic flow chart of the processing method for predicting e antigen seroconversion rate according to the embodiment of the present invention, such as figure 1 As shown, a processing method for predicting e-antigen seroconversion rate provided by the embodiment of the present invention comprises the following steps:

[...

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Abstract

An embodiment of the invention provides a processing method for predicting an e-antigen seroconversion rate and a device thereof. The method comprises the steps of acquiring an age and detecting indexparameters of a to-be-predicted patient; wherein the detecting index parameters comprise alanine aminotransferase, glutamic oxaloacetic transaminase, globulin, alkaline phosphatase and hepatitis b e-antigen titer; inputting the age and the detecting index parameter into a preset model, using the output result of the preset model as an e-antigen seroconversion rate predicting result of the to-be-predicted patient in a preset time period; wherein the preset model is constructed based on ANN. The device executes the method. According to the processing method for predicting the e-antigen seroconversion rate and the device, through using the output result of the preset model which is constructed based on ANN as an e-antigen seroconversion rate predicting result of the to-be-predicted patient in the preset time period, accuracy in predicting the e-antigen seroconversion rate can be improved.

Description

technical field [0001] The embodiment of the present invention relates to the technical field of medical prediction, in particular to a processing method and device for predicting e-antigen seroconversion rate. Background technique [0002] Chronic hepatitis B (CHB, chronic hepatitis B) is caused by hepatitis B virus (HBV, hepatitis B) infection. As a global health problem, it has brought a heavy burden to public health care. Chronic hepatitis B surface antigen HBsAg clearance is considered to be the best treatment endpoint, but very few patients can achieve surface antigen clearance, so some surrogate endpoints are often used clinically, among which e antigen seroconversion rate is an important evaluation index . [0003] The prior art usually uses a linear model, such as a Cox regression model, to predict the e-antigen seroconversion rate. However, it is difficult to accurately restore the interaction between the complex internal environment and external conditions of the...

Claims

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Application Information

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IPC IPC(8): G16H50/50G06F17/18G06N3/04G06N3/08
Inventor 王宪波江宇泳李玉鑫
Owner BEIJING DITAN HOSPITAL CAPITAL MEDICAL UNIV
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