Artificial reproduction pregnancy prediction method and device built by machine learning model

A technology of machine learning model and prediction method, which is applied in the direction of neural learning method, kernel method, biological neural network model, etc., can solve the problems of interpretation differences affecting results, etc., and achieve the effect of improving success rate and accuracy

Active Publication Date: 2020-11-13
北京赫雅智能科技有限公司
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Problems solved by technology

However, differences in the interpretation of different experiences often affect the final results

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  • Artificial reproduction pregnancy prediction method and device built by machine learning model
  • Artificial reproduction pregnancy prediction method and device built by machine learning model
  • Artificial reproduction pregnancy prediction method and device built by machine learning model

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[0029] In the following description, specific details such as specific system structures and technologies are presented for the purpose of illustration rather than limitation, so as to thoroughly understand the embodiments of the present application. It will be apparent, however, to one skilled in the art that the present application may be practiced in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present application with unnecessary detail.

[0030] It should be understood that when used in this specification and the appended claims, the term "comprising" indicates the presence of described features, integers, steps, operations, elements and / or components, but does not exclude one or more other features. , whole, step, operation, element, component and / or the presence or addition of a collection thereof.

[0031] It shou...

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Abstract

The invention relates to an artificial reproduction pregnancy prediction method and device built by a machine learning model. The method comprises: acquiring maternal blood hormone physiological detection data and ovarian function physiological detection data; establishing a hormone / physiological test-pregnancy SVM model in combination with a support vector machine algorithm; obtaining maternal embryo images; establishing an embryo image-embryo quality DNN model in combination with a deep neural network algorithm; obtaining a maternal clinical medical information prediction value according toa pregnancy test result report and the hormone / physiological test-pregnancy SVM model; obtaining an embryo quality evaluation prediction value according to the pregnancy test result report and the embryo image-embryo quality DNN model; and combining the two prediction values to obtain an artificial reproduction pregnancy prediction value. The method provided by the invention is relatively high inaccuracy, can avoid the situation that the final result is influenced due to the difference of different experiences, and can effectively improve the situation that a single model is easy to form over-conservative prediction when the data volume is small.

Description

technical field [0001] The invention relates to a method and device for constructing artificial reproductive pregnancy prediction by using a machine learning model. Background technique [0002] Observing the global reproductive medicine market, according to the World Health Organization (WHO) statistics, the global infertility rate is about 8-12%, that is, more than 85 million couples suffer from infertility. [0003] Studies have found that the most suitable age for women to bear children is 21 to 28 years old. After 32 years old, the number and quality of eggs will decrease significantly, which will also increase the difficulty of pregnancy. However, with the normalization of late marriage and late childbearing, it is believed that the demand for infertility testing and reproductive treatment will also grow year by year. Therefore, the potential demand market for service applications and technology development in the reproductive medical industry will be highly anticipate...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H50/70G16H15/00G06N20/10G06N3/04G06N3/08
CPCG16H50/70G16H15/00G06N20/10G06N3/08G06N3/045
Inventor 高瑞鸿郭景桓江东霖
Owner 北京赫雅智能科技有限公司
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