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Falling risk model establishment method

A technology for establishing methods and risk models, applied in the field of fall risk assessment models, it can solve problems such as too simple and subjective forms, unsuitable for demographic and physical fitness data, and insufficient use of population big data, etc. Improve and improve targeted effects

Inactive Publication Date: 2017-02-15
无锡金世纪国民体质与健康研究有限公司
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Problems solved by technology

[0003] Existing fall models are either mainly used in mechanical automation and robotics industries, and their main purpose is not and are not suitable for predicting demographic and physical fitness data with big data characteristics; The survey, whose form is too simplistic and subjective, does not make full use of existing demographic big data

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Embodiment Construction

[0036] In order to make the purpose, technical solution and advantages of the present invention clearer, a further detailed description will be given below in combination with specific data. Here, the illustrative examples of the present invention are used to explain the present invention, but not to limit the present invention.

[0037] The present invention establishes a falling risk assessment model to provide users with scientific guidance to reduce the risk of falling as much as possible. For the establishment of the model, the steps shown in the figure are mainly carried out: the steps are:

[0038] Step 1: Select samples, enter or collect questionnaire data and physical fitness data;

[0039] Step 2: In the collected sample data, define the risk level according to the historical data of falls and injuries;

[0040] Step 3: Using the LASSO algorithm, establish a multiple linear regression model on bone mineral density, balance ability and other factors and risk of falli...

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Abstract

The invention discloses a falling risk model establishment method. The method comprises the following steps of: 1, selecting samples, inputting or acquiring questionnaire data and physical fitness data to ensure that the obtained data is more comprehensive, and carrying out age grouping on the samples to improve the falling risk analysis pertinence; 2, in acquired sample data, carrying out risk grade definition according to the history data of falling injuries; 3, establishing multiple linear regression models about bone mineral density, balance ability, the other factors and falling risk by adoption of an LASSO algorithm, and calculating falling risk indexes; 4, adjusting the value of <lambda> and obtaining multiple linear regression models with different complexities under the limitation of <lambda>; and 5, determining an optimum <lambda> value and a corresponding optimum multiple linear regression model, so as to obtain a corresponding multiple linear regression model and a falling risk index. The method is used as a falling risk assessment model, is more perfect and is more suitable for the falling risk assessment of different groups.

Description

technical field [0001] The invention relates to the field of fall risk assessment models, in particular to a method for establishing a fall risk model. Background technique [0002] Fall risk model is a very popular research topic in academia and industry in recent years. Its main method is to collect data and use certain mathematical analysis methods to summarize a set of mathematical or logical models to predict the probability of falls. The research on this topic has a very broad prospect in the prevention of falls in the elderly and patients. [0003] Existing fall models are either mainly used in mechanical automation and robotics industries, and their main purpose is not and are not suitable for predicting demographic and physical fitness data with big data characteristics; The survey, in its form, is too simplistic and subjective, and does not make full use of the existing big data on the population. Contents of the invention [0004] The purpose of the present in...

Claims

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Application Information

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IPC IPC(8): G06F17/50
CPCG16H50/30
Inventor 金春王佩娜
Owner 无锡金世纪国民体质与健康研究有限公司
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