Down's syndrome screening method based on isolation forest algorithm and voting mechanism

A technology of Down syndrome and voting mechanism, applied in computer components, computer-aided medical procedures, computing, etc., can solve problems such as methods without improved prenatal diagnosis system

Active Publication Date: 2018-11-23
JILIN UNIV
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Problems solved by technology

At present, this algorithm is mostly used in the industry, and there is no systematically improved method for prenatal diagnosis.

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  • Down's syndrome screening method based on isolation forest algorithm and voting mechanism
  • Down's syndrome screening method based on isolation forest algorithm and voting mechanism
  • Down's syndrome screening method based on isolation forest algorithm and voting mechanism

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specific Embodiment approach

[0093] In conjunction with the accompanying drawings of the description, the specific embodiments of the present invention are as follows:

[0094] refer to figure 1 , the Down syndrome screening method based on the isolation forest algorithm and voting mechanism mainly includes 7 steps:

[0095] Step 1: Data preprocessing:

[0096] The data used in this example is provided by the Reproductive Center of the First Affiliated Hospital of Jilin University. The content of the data is the prenatal screening results of 100,138 pregnant women in the second trimester, with a total of 58 fields, among which may be related to Down syndrome There are 10 feature fields. Use the method of directional search to select features from the data provided by the hospital, and obtain the feature vector u(u 1 , u 2 , u 3 , u 4 , u 5 , u 6 , u 7 ); as the data in the hospital are mostly entered manually, and the cooperation of pregnant women and their families is different, some characteris...

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Abstract

The present invention relates to a Down's syndrome screening method based on an isolation forest algorithm and a voting mechanism. The method comprises the following steps of: data preprocessing: adding samples into a data set; division of a data set: obtaining a training set A and a training set B to further perform cross division of the training set A to obtain a plurality of training subsets, obtaining a plurality of isolation forest models and corresponding abnormality scoring threshold values through training, performing voting of samples in the training set B to obtain the number of votes of each sample, obtaining a pre-determined threshold value and a pre-determined result of each sample in the training set B, and using a SVM (support vector machine) model to perform final determination. The Down's syndrome screening method can improve the abnormal detection rate and reduce the misdiagnosis rate.

Description

technical field [0001] The present invention relates to a kind of screening method of Down's syndrome based on data mining technology, more specifically, the present invention relates to a kind of screening method of Down's syndrome based on isolated forest algorithm, voting mechanism and support vector machine SVM model . Background technique [0002] Down's syndrome, also known as congenital stupidity or trisomy 21, is clinically manifested as severe mental retardation. The disease is caused by an abnormality of chromosome 21. At present, there is still no specific method for the treatment of trisomy 21 in clinical practice. At present, in my country, the serum levels of β-hCG, AFP, and uE3 in pregnant women are mainly detected, and the risk value is evaluated in combination with the clinical data of pregnant women, and then the high-risk puerpera is invasive sexual diagnosis and elective abortion for prevention. [0003] Relevant literature research shows that most of th...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H50/70G06K9/62
CPCG16H50/70G06F18/214
Inventor 张红国王瑞雪李玲刘婉莹刘睿智杨潇黄玉兰张海蓉姜雨婷李磊磊刘丹杨秀华
Owner JILIN UNIV
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