Lung function measuring method based on human body form phenotype

A technology of human body shape and measurement method, which is applied in the directions of diagnostic recording/measurement, calculation model, medical data mining, etc., can solve problems such as inconvenience of operation, and achieve the effect of accurate lung function evaluation

Pending Publication Date: 2022-03-25
FUDAN UNIV
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  • Abstract
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Problems solved by technology

[0010] Air suction action, inconvenient to operate

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  • Lung function measuring method based on human body form phenotype
  • Lung function measuring method based on human body form phenotype
  • Lung function measuring method based on human body form phenotype

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Embodiment Construction

[0030] The technical solutions of the present invention will be described in detail below in conjunction with the accompanying drawings and embodiments.

[0031] The invention is a prediction scheme of lung function index based on human body morphotype. This prediction scheme consists of two parts, the training-test part and the practical part. Easily measurable human morphological phenotypes were used when training and testing machine learning models. When the trained model is actually used, the lung function index prediction task can be completed according to the brand-new human body morphotype feature data, and the result can be output to the user. The overall framework of the system is as figure 1 shown.

[0032] 1. Training and testing part

[0033] This part belongs to the forecasting model building part before the practical part.

[0034] The first step is human morphophenotype measurement and pulmonary function index measurement.

[0035] Human morphophenotype me...

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Abstract

The invention discloses a lung function measuring method based on a human body form phenotype. The method comprises the following steps: constructing a machine learning model by taking a human lung function index as a dependent variable and human form phenotype data as an independent variable; training the machine learning model to enable the value of the human lung function index predicted by the machine learning model to be as close as possible to a true value, and then determining model parameters to obtain a lung function index prediction model; inputting the human body form phenotype data of a new user to be tested into the lung function index prediction model to calculate lung function indexes, integrating and analyzing a plurality of predicted lung function indexes, and evaluating the lung health state of the new user to be tested. The method has the advantages that extra operations such as inspiration and expiration and wearing of a gas flow meter are not needed, the lung function of a person can be measured by fully utilizing the phenotypic characteristics of the human body shape, use is more convenient, and the cost is lower.

Description

technical field [0001] The technical field of lung function index measurement of the present invention, in particular, relates to a method for measuring lung function based on human morphological phenotypes. Background technique [0002] With the development of society and the progress of science and technology, people's living standards are constantly improving, and people's health is getting more and more attention. The respiratory system is prone to disease, which seriously reduces people's quality of life. Early detection and early intervention are the key to the treatment of respiratory diseases. A reasonable early screening mechanism for respiratory diseases should be established to diagnose and treat respiratory diseases as early as possible, effectively reduce the chance of developing respiratory diseases from mild to severe, and minimize the impact on personal health and quality of life. Pulmonary function test is a basic method for early screening of respiratory d...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H50/30G16H50/70G06N20/00A61B5/087A61B5/091
CPCG16H50/30G16H50/70G06N20/00A61B5/087A61B5/091
Inventor 朱云峰陈炜罗竞春陈晨李阳吴咏霖
Owner FUDAN UNIV
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