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Individualized living yield prediction model and construction method

A technique for predicting models and constructing methods, which can be used in forecasting, design optimization/simulation, complex mathematical operations, etc., and can solve problems such as underestimation and overestimation of live births

Pending Publication Date: 2020-12-18
ZHEJIANG UNIV
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AI Technical Summary

Problems solved by technology

Therefore, the question that often arises in clinical practice is: how many oocytes are needed per woman to achieve a live birth? How many IVF / ICSI cycles do older women need to increase their chances of live birth?
As previous studies have analyzed cumulative live birth rates stratified by age rather than per individual age, or stratified by number of oocytes rather than per oocyte, live birth rates may be overestimated or underestimated. possibility of production

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  • Individualized living yield prediction model and construction method
  • Individualized living yield prediction model and construction method
  • Individualized living yield prediction model and construction method

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Embodiment Construction

[0043] A method for constructing an individualized live birth rate prediction model of the present invention comprises the following steps:

[0044] Step a: Collect live birth outcomes, individualized ovarian function information, individualized biological information, and individualized ovarian stimulation information for each sample patient.

[0045] Live birth outcomes in step a include: single-transplant live births (live birth babies ≥24 weeks) outcome, single-transplant live birth rate = number of live births / number of transplants; baby) outcome, single egg retrieval live birth rate = number of live births / number of egg retrievals; cumulative live birth outcome in a single ovarian stimulation cycle: multiple live births in the same ovarian stimulation cycle are normalized into one live birth, single If there is no live birth in the first transplantation, continue to collect information until a live birth is obtained or an ovulation induction cycle ends.

[0046] The ind...

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Abstract

The invention discloses an individualized living yield prediction model and a construction method. The construction method comprises the following steps: a, collecting living yield outcome, individualized ovarian function information, individualized biological information and individualized ovarian excretion promoting information of each sample patient; b, extracting parameter variables accordingto the accumulated live birth outcome and the individualized information; c, constructing a semi-parameter generalized additive model gm2 of the parameter variable; d, performing verification and sensitivity analysis on the model gm2, and training and evaluating the stability of the model gm2; and e, drawing a living yield prediction model curve graph. The method has the advantages that guidance can be provided for doctors and patients receiving ART treatment, the possibility of obtaining at least one live delivery infant can be predicted according to the age of the patients and the egg takingnumber, and the patients can be informed whether the live delivery possibility of the patients is remarkably increased or not after the patients receive extra stimulation periods.

Description

technical field [0001] The invention relates to the technical field of assisted reproductive clinical treatment, in particular to an individualized live birth rate prediction model and a construction method. Background technique [0002] Controlled ovarian hyperstimulation is a key step in assisted reproductive technology (ART), which can significantly increase the number of cycles of frozen-thawed embryo transfer and the associated pregnancy rate. Traditionally, ART success has been measured in terms of clinical pregnancy rates, implantation rates, and live birth rates per embryo transfer. The cumulative live birth rate (cLBR), defined as the first live birth after using all embryos from a full cycle (including fresh and subsequent freeze-thaw cycles), appears to be a better measure of ART treatment success. cLBR increased with the number of eggs retrieved, and when the number of retrieved eggs was ≥25, the cLBR could be as high as 70%, and there was no obvious plateau phe...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06F30/27G06F17/18
CPCG06Q10/04G06F30/27G06F17/18
Inventor 竺海燕张松英
Owner ZHEJIANG UNIV
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