Glomerular filtration rate estimation method based on WASP-BAS

A glomerular filtration rate, the smallest technology, applied in the direction of health index calculation, computer-aided medical procedures, biological neural network models, etc., can solve problems such as inefficiency, and achieve accurate prediction results and high pruning efficiency

Inactive Publication Date: 2019-07-30
HANGZHOU DIANZI UNIV
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Problems solved by technology

However, due to some uncertain differences between Chinese and Westerners or people from other countries, traditional GFR estimation equations are usually less effective for Chinese

Method used

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  • Glomerular filtration rate estimation method based on WASP-BAS
  • Glomerular filtration rate estimation method based on WASP-BAS
  • Glomerular filtration rate estimation method based on WASP-BAS

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Embodiment Construction

[0021] The present invention will be further described below in conjunction with accompanying drawing and specific embodiment:

[0022] figure 1 A WASP-BAS-based glomerular filtration rate estimation method is shown:

[0023] 1) The data of a certain amount of chronic kidney disease patients --- each data includes 7 inputs and 1 output (glomerular filtration rate GFR) of sex, age, height, weight, albumin, serum creatinine and urea --- -Divided into training set, verification set and test set;

[0024] 2) The number of times that cannot be found less than the current error for N times in a row is used as a constraint condition, and the cycle is performed under the condition that the number of times does not exceed, step 3) and step 4) are cycled, and this cycle is called the process of increasing while deleting, that is, a pruning process;

[0025] 3) Initialize or update the three-layer feed-forward neural network, calculate the training excitation matrix according to the t...

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Abstract

The invention discloses a glomerular filtration rate estimation method based on WASP-BAS (Weights and Structure Policy-Beetle Antennae Search). The glomerular filtration rate estimation method based on WASP-BAS includes the steps: dividing experimental data into a data set, a verification set and a test set; taking the number of times that a smaller error cannot be found continuously as a constraint condition, and circulating under the condition that the number of times is not exceeded, i.e., one pruning process; temporarily determining the structure of the neural network after primary pruning, and then simplifying the neural network to reduce the number of hidden layer neurons, namely a secondary pruning process; finally, obtaining the neural network with the determined structure and weight threshold value, and estimating the glomerular filtration rate through seven inputs of the gender, the age, the height, the weight, the albumin, the serum creatinine and the urea of the neural network. According to the glomerular filtration rate estimation method based on WASP-BAS, a secondary pruning part is optimized by using a BAS, and a weight threshold from an input layer to a hidden layerand a weight from the hidden layer to an output layer are used as solution vectors for optimization; and the pruning efficiency of the WASP is higher, and the prediction result is more accurate and more stable.

Description

technical field [0001] The invention relates to the field of intelligent optimization algorithms and the application of neural networks in estimation, in particular to a glomerular filtration rate estimation method based on WASP-BAS (Weights and Structure Policy-Beetle Antennae Search) algorithm. Background technique [0002] Chronic kidney disease (CKD) has become a public health problem that seriously threatens the health and life of people in China and the world. Because glomerular filtration rate (GFR) is a common indicator for early detection of chronic kidney disease, an efficient and accurate method for estimating GFR is of great significance for clinical application. However, due to some uncertain differences between Chinese and Westerners or people from other countries, traditional GFR estimation equations are usually less effective for Chinese. Therefore, there is an urgent need for effective, reliable and targeted GFR estimation methods in clinical applications i...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H50/30G06N3/04
CPCG16H50/30G06N3/045
Inventor 陈泽钰陈德潮吴卿
Owner HANGZHOU DIANZI UNIV
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