Intelligent decision-making system and method based on big data

A technology of intelligent decision-making and big data, applied in the computer field, can solve the problems of low efficiency of consultation and reduce the experience of pregnant women in prenatal examination, so as to improve the efficiency of diagnosis and improve the experience of seeing a doctor

Pending Publication Date: 2021-03-12
四川奇力韦创新科技有限公司
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Problems solved by technology

The various procedures involved in an obstetric examination process lead to very low consultation efficiency. Moreover, with the liberalization of the national second-child policy, the number of pregnant women

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  • Intelligent decision-making system and method based on big data

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[0026] The technical solutions in the embodiments of the present invention will be apparent from the drawings in the embodiment of the present invention. Obviously, the described embodiments are merely the embodiments of the invention, not all of the embodiments. Based on the embodiments of the present invention, there are all other embodiments obtained without making creative labor without making creative labor premises.

[0027] Such as figure 1 As shown, the embodiment of the present invention includes a smart decision system based on large data, including a consultation sequence acquisition module, a sequence optimization module, a consultation module. The sequence optimization module includes a sequence acquisition sub-module, an obstetric examination sequence acquisition sub-module, and a doctor's consultation sequence acquisition sub-module. specific,

[0028] The sequence acquisition module is used to obtain a consultation sequence based on the registration record of the p...

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Abstract

The invention provides an intelligent decision-making system and method based on big data. The system comprises an inquiry sequence acquisition module, a sequence optimization module and an inquiry module, wherein the sequence optimization module comprises a reported sequence acquisition sub-module, an obstetric examination sequence acquisition sub-module and a doctor inquiry sequence acquisitionsub-module. According to the system and the method, based on unique characteristics of obstetric outpatient service, a correction decision of an inquiry sequence is determined according to actual conditions in multiple examination processes of a pregnant woman, and the inquiry sequence is optimized; in addition, a risk prediction model is trained based on a machine learning algorithm and a big data technology to obtain a pregnant woman risk probability, and diagnosis assistance is provided for doctors. Therefore, the diagnosis efficiency of obstetric outpatient service is improved through multi-level means fusion, so that the treatment experience of pregnant women is improved.

Description

technical field [0001] The invention belongs to the field of computer technology, and in particular relates to an intelligent decision-making system and method based on big data. Background technique [0002] Prenatal inspection refers to providing a series of medical and nursing suggestions and measures for pregnant women, with the purpose of early prevention and detection of complications through the monitoring of pregnant women and fetuses, reducing their adverse effects, and providing correct means of inspection and care during this period. Medical advice is key to reducing maternal and perinatal mortality. The obstetric examination includes many inspection items, which are usually different based on the number of weeks of pregnancy. The obstetric outpatient clinic has unique characteristics different from other departments. Other auxiliary examinations, such as height / body mass index detection, blood pressure detection, palace height and abdominal circumference detecti...

Claims

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Application Information

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IPC IPC(8): G16H50/30G16H50/20G06N20/00G06K9/62
CPCG16H50/30G16H50/20G06N20/00G06F18/214
Inventor 王雨
Owner 四川奇力韦创新科技有限公司
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