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Risk prediction algorithm model and device of age-related macular degeneration

A technology of macular degeneration and correlation, applied in the field of medical biological detection

Pending Publication Date: 2019-04-05
SHANGHAI BIOTECAN PHARMA +1
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The disease has a complex etiology related to factors such as age, gender, smoking, race, and genetics. It is an irreversible visual loss. There is currently no effective treatment for this disease

Method used

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  • Risk prediction algorithm model and device of age-related macular degeneration
  • Risk prediction algorithm model and device of age-related macular degeneration
  • Risk prediction algorithm model and device of age-related macular degeneration

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0111] From the 108 candidate SNP site data, 7 site data related to AMD disease required for the algorithm model and the device were screened out through statistical analysis.

[0112] The experimental training group and the control group were recruited for SNP statistics and clinical informatics analysis. Through a large number of screening, 108 SNP sites were found. The SNP sites are shown in Table 1. SNP typing data is obtained by the following steps:

[0113] 1. Sample collection: Use the following two collection methods.

[0114] a) Blood sample collection method: 2-4 mL of whole blood was collected in EDTA anticoagulant tubes.

[0115] b) Oral swab collection method: Scrape the palate and the mucous membranes on both sides of the oral cavity of the subject with a nylon flocked oral swab until all the nylon flocked parts of the oral swab are wet. Store in a test tube filled with sample protection solution (1-2mL).

[0116] 2. Sample transportation: Add ice packs to the...

Embodiment 2

[0142] According to the subjects’ questionnaires, age, body mass index (BMI), high blood pressure, high blood lipids, diabetes, kidney damage, whether they are often outdoors, whether they are vegetarians, never smoked, never drank Alcoholism, atherosclerosis, eye surgery, gender and other 13 clinical survey data.

Embodiment 3

[0144]Machine learning algorithms can be divided into three categories: supervised learning, unsupervised learning, and semi-supervised learning. Supervised learning is to generate a function through the corresponding relationship between a part of the input data and the output data, and map the input to the appropriate output, such as classification. The sample data of the present invention have been clinically diagnosed and have classified labels, so they will be explored and selected in a supervised machine learning classification model. The data of all samples with only SNP site information (SNP), the data of all samples with only clinical information (CC), and the combined data of SNP sites and clinical information (SNP+CC) are used as input data respectively, and the diagnostic results of the samples are as the output classification label.

[0145] Algorithm construction is carried out according to the following steps:

[0146] a) Randomly split all data into 75% train...

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Abstract

The invention provides a risk prediction algorithm model and device of age-related macular degeneration (AMD). Specifically, seven gene types related to the Single nucleotide polymorphism (SNP) are provided and converted into Odd Ratio (OR) values, and the risk prediction algorithm model and device are established through a machine learning method in combination with seven pieces of clinical information. The risk prediction algorithm model and device can assist people in clinical AMD early prediction and early diagnosis and have great clinical significance in reducing the AMD morbidity and improving the disease treatment rate.

Description

technical field [0001] The invention relates to the field of medical biological detection, in particular to an age-related macular degeneration (Age-related macular degeneration, AMD) risk prediction algorithm model and device. Background technique [0002] Age-related macular degeneration (AMD) is the main cause of blindness in the elderly. The disease has a complex etiology related to factors such as age, gender, smoking, race, and genetics. It is an irreversible visual loss. Currently, there is no effective treatment for this disease. AMD has a high incidence rate. Meta-analysis results show that the total incidence rate of AMD in the world is 8.01%, and the incidence rates of AMD in European, African and Asian populations are 11.2%, 7.1% and 6.8%, respectively. The incidence rates of early AMD and late AMD in the elderly population in my country are 4.7%-9.2% and 0.2%-1.9%, respectively. It is predicted that by 2020 and 2040, the global AMD patients will reach 196 mill...

Claims

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Application Information

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IPC IPC(8): G16H50/20G16H50/70
CPCG16H50/20G16H50/70
Inventor 王丽君高军晖袁卫兰龚建兵刘慧敏林灵许骋张英霞
Owner SHANGHAI BIOTECAN PHARMA
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