Placenta implantation prediction model obtaining method based on hidden Markov model decoding process
A hidden Markov and placenta accreta technology, applied in the field of placenta accreta prediction model acquisition, can solve the problems of prenatal prediction of placenta accreta, such as limitations, to optimize the source of reference information, ensure life safety, and accurate prediction results Effect
Inactive Publication Date: 2016-11-09
FUZHOU UNIV
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Due to the lack of typical clinical manifestations, signs and laboratory indicators, relying on subjective experience, the prenatal prediction of placenta accreta is limited
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[0012] The technical solution of the present invention will be specifically described below in conjunction with the accompanying drawings.
[0013] The present invention provides a method for obtaining a placenta accreta prediction model based on hidden Markov decoding process, such as figure 1 Shown, including the following steps to achieve:
[0014] Step S1: Count m pieces of past maternal data obtained from hospitals or health organizations, including clinical data such as medical history, B-ultrasound and pathological diagnosis results, and establish a set of disease-associated factors, where 200≤m≤400;
[0015] Step S2: constructing a hidden Markov model of placenta accreta;
[0016] Step S3: Optimizing the Hidden Markov Model according to the acquired data of the current pregnant woman to be tested;
[0017] Step S4: Based on the Hidden Markov decoding process, obtain the disease type data corresponding to the current maternal data to be tested, and provide reference i...
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The invention relates to a placenta implantation prediction model obtaining method based on the hidden Markov model decoding process. The method comprises the following steps that 1, n pieces of previous pregnant woman data obtained from hospitals or health organizations are counted, and a symptom associated factor collection is creased, wherein the data comprises clinical data of medical histories, B ultrasound, pathological diagnostic results and the like; 2, initial data of a hidden Markov model of placenta implantation is constructed; 3, the hidden Markov model is optimized aiming at current pregnant woman case data; 4, placenta implantation prediction is conducted on the case data on the basis of the hidden Markov model decoding process. According to the placenta implantation prediction model obtaining method based on the hidden Markov model decoding process, limitation of existing placenta implantation antepartum predictions is overcome, limitation comprises the situations of lacking of typical clinical manifestations, signs and laboratory indexes, relying on subjective experience and the like, the symptom prediction accuracy is improved, and a great contribution is made to the guarantee of the life safety of pregnant women.
Description
technical field [0001] The invention relates to a method for acquiring a placenta accreta prediction model based on a hidden Markov decoding process. Background technique [0002] Placenta accreta is a critical and rare complication in obstetrics. The placental villi invade into the myometrium, causing the part of placenta accreta to fail to peel off normally in the third stage of labor, which has a major impact on maternal pregnancy. [0003] Postpartum pathological diagnosis is the gold standard for the diagnosis of placenta accreta, but there are lags and limitations. At this stage, prenatal prediction of placenta accreta is usually based on maternal medical history information, through color Doppler ultrasound or MRI images, combined with clinician experience analysis. Due to the lack of typical clinical manifestations, signs and laboratory indicators, relying on subjective experience, the prenatal prediction of placenta accreta is limited. Contents of the invention ...
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IPC IPC(8): G06F19/00
CPCG16H50/50
Inventor 朱丹红张栋叶东毅陈凯
Owner FUZHOU UNIV