LigtGBM model-based chronic obstructive pulmonary recurrence prediction method and device and computer device

A prediction method, COPD technology, applied in the direction of prediction, calculation, data processing application, etc., can solve the problem of low prediction accuracy and achieve the effect of improving accuracy

Pending Publication Date: 2019-05-28
THE FIRST AFFILIATED HOSPITAL OF GUANGZHOU MEDICAL UNIV (GUANGZHOU RESPIRATORY CENT) +1
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Problems solved by technology

[0005] Based on this, it is necessary to address the technical problem of low prediction accuracy in the above-mentioned COPD recurrence prediction method, and provide a COPD recurrence prediction method, device, computer equipment and method based on LightGBM model that can reasonably solve the above technical problems storage medium

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  • LigtGBM model-based chronic obstructive pulmonary recurrence prediction method and device and computer device
  • LigtGBM model-based chronic obstructive pulmonary recurrence prediction method and device and computer device
  • LigtGBM model-based chronic obstructive pulmonary recurrence prediction method and device and computer device

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[0053] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application.

[0054] It should be noted that the COPD recurrence prediction model uses the LightGBM (Light Gradient Boosting Machine) model, which is a decision tree-based, fast, distributed, high-performance gradient boosting (GBDT, GBRT, GBM or MART) Framework that can be used for ranking, classification, and many other machine learning tasks.

[0055] In one embodiment, such as figure 1 As shown, a COPD recurrence prediction method based on the LightGBM model is provided, including the following steps:

[0056] Step S110, receiving COPD diagnosis data.

[0057] Among them, COPD di...

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Abstract

The invention relates to a LigtGBM model-based chronic obstructive pulmonary recurrence prediction method and device and a computer device. The method comprises the following steps of receiving the chronic obstructive pulmonary diagnosis data; extracting slow obstructive pulmonary diagnosis characteristics of the slow obstructive pulmonary diagnosis data; obtaining slow obstructive pulmonary sample characteristics matched with the slow obstructive pulmonary diagnosis characteristics in a slow obstructive pulmonary recurrence prediction model, wherein the chronic obstructive pulmonary recurrence prediction model is a model constructed based on LightGBM; extracting sample label contents of the slow obstructive pulmonary sample characteristics as slow obstructive pulmonary recurrence prediction results; and displaying the chronic obstructive pulmonary recurrence prediction result. By adopting the method, the accuracy of the chronic obstructive pulmonary recurrence prediction result can beimproved, and the accurate prediction of the chronic obstructive pulmonary recurrence is realized.

Description

technical field [0001] The present application relates to the field of disease prevention and control, in particular to a COPD recurrence prediction method, device, computer equipment and storage medium based on the LightGBM model. Background technique [0002] Chronic obstructive pulmonary disease (COPD), referred to as COPD, has always been a chronic obstructive disease that is difficult to cure. According to statistics, in 2015, an estimated 3.17 million people died of COPD worldwide, accounting for 5% of the world's mortality rate in the same year; there were 251 million cases of COPD in the world in 2016, and the impact of COPD on human life The threat can no longer be ignored. [0003] In order to improve this situation, more and more scholars and medical institutions have begun to pay attention to the prediction of the recurrence of COPD within one year, so as to prevent the exacerbation of the disease. However, the existing methods for predicting COPD recurrence ar...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50G06Q10/04
Inventor 李菁罗俊宇
Owner THE FIRST AFFILIATED HOSPITAL OF GUANGZHOU MEDICAL UNIV (GUANGZHOU RESPIRATORY CENT)
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