System and method for detecting ectopic pregnancy
An ectopic pregnancy, subject technology, applied in biological testing, material testing products, health index calculation, etc., can solve the problem of ectopic pregnancy rupture not being detected in time
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Embodiment 1
[0170] In the example, based on 6612 fresh embryo transfers (with IVF / ICSI-ET protocol) performed in Peking University Third Hospital from December 2015 to June 2016, and the basic data of 6612 patients who received embryo transfers were recorded Characteristics, basic sex hormone level, number of antral follicles, primary and secondary, and 5 main factors of infertility (the 5 main factors of infertility in this application refer to: factor 1, male factor; factor 2 , endometriosis; factor 3, ovulatory disturbance; factor 4, fallopian tube factor; and factor 5, unexplained infertility and others), endometrial thickness and morphology classification, controlled ovarian stimulation protocol (described in detail below) , the number of previous IVF / ICSI-ET cycles (that is, several test tube cycles in the past), the number of oocytes with a diameter > 18mm obtained by ovulation induction, insemination method, insemination date, embryo transfer date, embryo transfer number, embryo tr...
Embodiment 2
[0181] Embodiment 2 single factor analysis
[0182] For the statistical data of the 1650 patients mentioned above, a univariate analysis was first performed to explore the relationship between the respective variables and ectopic pregnancy. hCG 14 , hCG 21 , FC, and transplantation methods were all statistically significant. At this time, the model results are shown in Table 1 below, where the factors with P14 , hCG 21 , FC, transplantation method, and multivariate analysis was performed based on these factors.
[0183] Table 1 Single factor analysis results
[0184]
Embodiment 3
[0185] Embodiment 3 establishes prediction model
[0186] The 6 variables determined in the above-mentioned Example 2, i.e. infertility factors (hereinafter sometimes expressed by cause), endometrial thickness, hCG 14 , hCG 21 , FC=hCG 21 / hCG 14 , The transplantation method is incorporated into the model, and the prediction model is established. In addition, since hCG 14 and hCG 21 Highly correlated, cannot be included in the model at the same time, only one of them can be selected, in the model of Example 3, hCG is selected 21 level into the model.
[0187] The process of establishing the prediction model is as follows: first, the data of the above five variables are divided into a training set and a verification set, each accounting for 75% and 25% of the samples. Then model in the training set and verify in the verification set. The verification method uses logistic regression based on 5-fold cross-validation based on the forward method, and the index uses the scale...
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