Establishment method of HIV patient talaromyces marneffei disease incidence probability prediction model

A technology for predicting models and establishing methods, which can be used in epidemic warning systems, health index calculations, medical automated diagnosis, etc., and can solve problems such as inaccurate and reliable prediction results and the inability of prediction models to reflect the real situation, and achieve accurate and reliable prediction results , strong adaptability, convenient and simple operation

Pending Publication Date: 2021-07-20
LIUZHOU PEOPLES HOSPITAL
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Problems solved by technology

However, when the random forest model algorithm is directly used to predict the incidence of T. marneffei in HIV patients, the data of the independent variables include some biochemical and immune test indicators of the patients, while the same indicators in clinical practice are

Method used

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  • Establishment method of HIV patient talaromyces marneffei disease incidence probability prediction model
  • Establishment method of HIV patient talaromyces marneffei disease incidence probability prediction model
  • Establishment method of HIV patient talaromyces marneffei disease incidence probability prediction model

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Embodiment 1

[0033] figure 1 A flow chart showing a method for establishing a predictive model for the incidence of Tamarneffei in HIV patients. Taking 602 newly admitted HIV inpatients in our hospital as an example, we will introduce in detail the establishment method of the prediction model for predicting the incidence probability of Tamarneffei in the HIV population, including the following specific steps:

[0034] (1) Selection and extraction of patient information data: admission baseline information and discharge T. marneffei diagnostic information were extracted from the HIV inpatient database; the admission baseline information included demographic characteristics, clinical manifestations, and laboratory test results Three types of information. The discharge T. marneffei diagnosis information indicates whether the hospital has diagnosed T. marneffei disease. In the specific implementation, the quantity and type of data can be expanded according to the actual data quality;

[003...

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Abstract

The invention provides an establishment method of a HIV patient talaromyces marneffei disease incidence probability prediction model, and belongs to the technical field of disease prediction models. The prediction model is a model based on a random forest algorithm. The method comprises the following steps: selecting and extracting patient information data; performing standardization processing on different batches of source data; establishing a random forest model for predicting the incidence probability of the talaromyces marneffei disease in the HIV patient; the model is tested and evaluated, independent variables with small influences are removed, and an optimized prediction model is obtained. According to the method, the collected patient information data is subjected to unified standardization processing and then input into software, the relation between the independent variable and the dependent variable is established, the obtained model prediction result is more reliable and accurate, and an effective method is provided for predicting the incidence rate of the talaromyces marneffei disease of the HIV patient.

Description

【Technical field】 [0001] The invention relates to the technical field of prediction models for disease incidence probability, in particular to a method for establishing a prediction model for the incidence of tamariferiosis in HIV patients. 【Background technique】 [0002] The epidemic situation of AIDS in my country is severe, and Guangxi is one of the hardest-hit areas of HIV / AIDS epidemic in China. With the popularity of ART combined with antiretroviral therapy, various opportunistic infections have gradually become the main cause of death in AIDS patients. In Guangxi, Talaromyces marneffei (TM) has become the most important opportunistic infection after tuberculosis, and it is also the opportunistic infection with the highest fatality rate. T. marneffei, formerly known as Penicillium marneffei, is an endemic infectious fungal disease. T. marneffei is mainly prevalent in Southeast Asian countries such as Thailand and Vietnam, as well as southern China. The onset of the d...

Claims

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Application Information

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IPC IPC(8): G16H50/80G16H50/30G16H50/20
CPCG16H50/80G16H50/30G16H50/20
Inventor 胡家光蒋忠胜李旭李敏基黄小红陈涛覃川张鹏莫胜林蒙达礼
Owner LIUZHOU PEOPLES HOSPITAL
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