CN111901382B - Code system is controlled to pregnant woman's five colours intelligence under normalized epidemic situation prevention control - Google Patents

Code system is controlled to pregnant woman's five colours intelligence under normalized epidemic situation prevention control Download PDF

Info

Publication number
CN111901382B
CN111901382B CN202010609996.1A CN202010609996A CN111901382B CN 111901382 B CN111901382 B CN 111901382B CN 202010609996 A CN202010609996 A CN 202010609996A CN 111901382 B CN111901382 B CN 111901382B
Authority
CN
China
Prior art keywords
intelligent control
color
control code
pregnant
server
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN202010609996.1A
Other languages
Chinese (zh)
Other versions
CN111901382A (en
Inventor
张来
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Hangzhou Hele Technology Co ltd
Original Assignee
Hangzhou Yuhang District Maternal And Child Health Hospital
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Hangzhou Yuhang District Maternal And Child Health Hospital filed Critical Hangzhou Yuhang District Maternal And Child Health Hospital
Priority to CN202010609996.1A priority Critical patent/CN111901382B/en
Publication of CN111901382A publication Critical patent/CN111901382A/en
Application granted granted Critical
Publication of CN111901382B publication Critical patent/CN111901382B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/01Protocols
    • H04L67/12Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/74Details of notification to user or communication with user or patient ; user input means
    • A61B5/742Details of notification to user or communication with user or patient ; user input means using visual displays
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/50Network services
    • H04L67/55Push-based network services

Landscapes

  • Engineering & Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Signal Processing (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Surgery (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Molecular Biology (AREA)
  • Pathology (AREA)
  • Animal Behavior & Ethology (AREA)
  • Physics & Mathematics (AREA)
  • Public Health (AREA)
  • Veterinary Medicine (AREA)
  • Biomedical Technology (AREA)
  • Biophysics (AREA)
  • Computing Systems (AREA)
  • Measuring And Recording Apparatus For Diagnosis (AREA)

Abstract

The invention provides a code system is controlled to pregnant and lying-in women's five-color intelligence under normalized epidemic situation prevention control, include: the system comprises a five-color intelligent control code, a first mobile terminal and a server terminal; the first mobile terminal is in communication connection with the server terminal; the first mobile terminal is used for acquiring physical parameters and obstetrical examination data of the pregnant woman; and the body parameters and the obstetrical examination data are sent to the server, and the server analyzes the body parameters and the obstetrical examination data through a preset model to generate five-color intelligent control codes and sends the five-color intelligent control codes to the first mobile terminal for storage. According to the five-color intelligent control code system for the pregnant and lying-in women under the control of the normalized epidemic situation, the five-color intelligent control codes are lightened when the pregnant and lying-in women see a doctor in all departments of each hospital, so that doctors in all departments share the high-risk information of the pregnant and lying-in women, more comprehensive diagnosis basis is provided for the doctor in the pregnant period, and more specific and more definite attention points are provided for the doctors in all departments to treat diseases; and when the pregnant and lying-in women are in emergency outside the hospital, the historical obstetrical and gynecological labor record of the high-risk pregnant and lying-in women and the high-risk factors can be comprehensively known, so that very important help is provided for appointed emergency measures.

Description

Code system is controlled to pregnant woman's five colours intelligence under normalized epidemic situation prevention control
Technical Field
The invention relates to the technical field of intelligent control codes, in particular to a five-color intelligent control code system for pregnant and lying-in women under the control of normalized epidemic situation prevention.
Background
At present, pregnancy risk assessment of pregnant and lying-in women is an important basis for management schemes and treatment schemes in perinatal health care and health management processes. At present, the pregnancy risk assessment result of pregnant and lying-in women is only limited to the application in diagnosis and management of departments related to obstetrics in the hospitalization process. The pregnancy risk assessment of the pregnant and lying-in women cannot be checked in other departments except the department related to the obstetrical department in the existing information system, so that the pregnancy risk assessment results and related high-risk factors of the pregnant and lying-in women cannot be known in time when the pregnant and lying-in women visit in other departments except the department related to the obstetrical department, and the doctor can be surely diagnosed by mistake or missed.
Because of the current environment of epidemic situation prevention and control, the high-risk pregnant and lying-in women can provide very important help for appointed first-aid measures if the historical obstetrical and abortive records and high-risk factors of the high-risk pregnant and lying-in women can be comprehensively known in the process of out-hospital first aid because of the special crowd characteristics of the high-risk pregnant and lying-in women. At present, a pregnant and lying-in woman health care book or a mother and child manual is made of paper, but emergency treatment is sudden behaviors anytime and anywhere, and the pregnant and lying-in women cannot be carried at any time. The electronic version of the parent-subsidiary manual is complex in operation flow and not intuitive in information display, so that the electronic version of the parent-subsidiary manual cannot be effectively applied in the emergency treatment process.
Disclosure of Invention
One of the purposes of the invention is to provide a five-color intelligent control code system for pregnant and lying-in women under the control of normalized epidemic situation prevention, through the five-color intelligent control code, the pregnant and lying-in women need to light the five-color intelligent control code when seeing a doctor in all departments of each hospital, so that doctors in all departments share the high-risk information of the pregnant and lying-in women, more comprehensive diagnosis basis is provided for the seeing a doctor in the pregnant period of the pregnant and lying-in women, and more specific and more definite focus is provided for the doctor in each department on the treatment of diseases; and when the pregnant and lying-in women are in emergency outside the hospital, the historical obstetrical and gynecological records of the high-risk pregnant and lying-in women and the high-risk factors can be comprehensively known by scanning the five-color intelligent control codes, so that very important help is provided for appointed emergency measures.
The embodiment of the invention provides a code system for controlling five-color intelligence of pregnant and lying-in women under the control of normalized epidemic situation, which comprises: the system comprises a five-color intelligent control code, a first mobile terminal and a server terminal;
the first mobile terminal is in communication connection with the server terminal;
the first mobile terminal is used for acquiring physical parameters and obstetrical examination data of the pregnant woman; and the body parameters and the obstetrical examination data are sent to the server, and the server analyzes the body parameters and the obstetrical examination data through a preset model to generate five-color intelligent control codes and sends the five-color intelligent control codes to the first mobile terminal for storage.
Preferably, the first mobile terminal comprises a mobile phone.
Preferably, the five-color intelligent control code comprises: green for low risk, yellow for general risk, orange for higher risk, red for high risk, and purple for infectious disease.
Preferably, the server analyzes the physical parameters and the obstetrical examination data through a preset model to generate the five-color intelligent control code, and the method comprises the following steps:
when the basic condition of the pregnant woman is good and pregnancy complications and complications are not found, a green five-color intelligent control code representing low risk is generated;
when the age of the pregnant woman is greater than or equal to a preset first age or less than or equal to a preset second age, a yellow five-color intelligent control code representing general risks is generated;
when the age of the pregnant woman is greater than or equal to a preset third age, generating a five-color intelligent control code representing orange with higher risk;
when one or more of dangerous preposed placenta, pregnancy bleeding and placental peeling appear in the pregnant woman delivery inspection data, an intelligent control code representing high-risk red color is generated;
when the pregnant woman has pregnancy with infectious diseases, a purple five-color intelligent control code representing ultrahigh risk is generated.
Preferably, the server analyzes the body parameters and the birth test data through a preset model to generate the five-color intelligent control code further comprises:
acquiring a preset substrate image;
carrying out binarization processing on the substrate image;
replacing the color with the gray value of 0 in the base image after binarization processing with the color corresponding to the five-color intelligent control code to obtain a first image;
equally dividing the first image into a plurality of data storage units; the data storage units are separated by adopting frame lines with colors corresponding to the five-color intelligent control codes;
and the body parameters and the birth inspection data are mapped into saturation parameters of the colors of the data storage unit and stored in the data storage unit.
Preferably, the server side also evaluates the confidence degrees of the five-color intelligent control codes and sends the evaluation result to the first mobile terminal;
the method for evaluating the confidence coefficient of the five-color intelligent control code by the server specifically comprises the following steps:
obtaining a predetermined matrix a ═ Q1,···,QiAnd weight function alpha (Q) corresponding to each identification unit in the preset matrixi) And a confidence function beta (Q)i);
Obtaining the evaluation data of N doctors on the obstetrical examination data as one evaluation evidence, obtaining M evaluation evidences in total, and marking the jth evaluation evidence as Mj={(Qj,mj,m),(f,θf),m=1,···,N};
Determining the weight of the evaluation evidence based on a preset matrix and a weight function, wherein the calculation formula is as follows:
Figure GDA0003522694660000031
wherein, α (M)j) Weight for the jth evaluation evidence, Qj,mThe mth evaluation data of the jth evaluation evidence; alpha is alphaj,mIs Qj,mObtaining a weight value based on a preset matrix and a weight function according to the evaluation data, wherein f is an initial weight value of the evaluation evidence, and thetafEvaluating coefficients of initial weight values of the evidence;
determining a confidence value of the evaluation evidence based on the preset matrix and the confidence value function, wherein the calculation formula is as follows:
Figure GDA0003522694660000032
wherein, Z (M)j) Confidence value, β, for the jth evaluation evidencej,mIs Qj,mC is a relation coefficient of the initial weight value and the initial confidence value;
calculating the confidence Z of the five-color intelligent control code based on the confidence values of the M evaluation evidences, wherein the calculation formula is as follows:
Figure GDA0003522694660000033
wherein D is the standard deviation of the confidence value of the evaluation evidence, and gamma is the correction weight;
and when the confidence coefficient of the five-color intelligent control code is greater than the preset value, the five-color intelligent control code is credible.
Preferably, the server includes: a first server and a second server;
the first server stores the pregnant and lying-in woman data of the regional maternal and child data center;
the second server stores the data of pregnant and lying-in women in the city maternal and child data center.
Preferably, the normalized epidemic situation prevention and control lower pregnant and lying-in woman five-color intelligent control code system further comprises a second terminal, wherein the second terminal is arranged on a hospital bed and used for acquiring the five-color intelligent control codes displayed by the first mobile terminal and adjusting the reminding state according to the five-color intelligent control codes;
the second terminal includes: the device comprises a camera, a processor and a reminding device; the camera and the reminding device are respectively and electrically connected with the processor;
the reminding device comprises: the five-color indicator lamp strip is arranged at the head of the sickbed.
Preferably, the second terminal is in communication connection with the server,
the second terminal acquires the five-color intelligent control codes displayed by the first mobile terminal, analyzes the five-color intelligent control codes to acquire the obstetrical examination data of the pregnant woman, predictively updates the data in the obstetrical examination data based on the time of the obstetrical examination data, and sends the updated obstetrical examination data to the server;
the server side substitutes the updated production testing data into a preset model to regenerate the five-color intelligent control code, and sends the new five-color intelligent control code to the second terminal; and the second terminal controls the display of the five-color indicating lamp strip according to the new five-color intelligent control code.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
fig. 1 is a schematic diagram of a pregnant woman five-color intelligent control code system according to an embodiment of the present invention;
fig. 2 is a schematic diagram illustrating an application of a pregnant woman five-color intelligent control code system in an embodiment of the present invention;
fig. 3 is a schematic diagram illustrating an application of another pregnant woman five-color intelligent control code system in the embodiment of the present invention.
In the figure:
1. five-color intelligent control codes; 2. a first mobile terminal; 3. and a server side.
Detailed Description
The preferred embodiments of the present invention will be described in conjunction with the accompanying drawings, and it will be understood that they are described herein for the purpose of illustration and explanation and not limitation.
The embodiment of the invention provides a code system for controlling five-color intelligence of pregnant and lying-in women under the control of normalized epidemic situation, as shown in figure 1, comprising: the system comprises a five-color intelligent control code 1, a first mobile terminal 2 and a server terminal 3;
the first mobile terminal 2 is in communication connection with the server terminal 3;
the first mobile terminal 2 is used for acquiring physical parameters and obstetrical examination data of a pregnant woman; and the body parameters and the birth test data are sent to the server 3, and the server 3 analyzes the body parameters and the birth test data through a preset model to generate a five-color intelligent control code 1 and sends the five-color intelligent control code 1 to the first mobile terminal 2 for storage.
The working principle and the beneficial effects of the technical scheme are as follows:
the server 3 analyzes the physical parameters and the obstetrical examination data of the pregnant woman through a preset model to generate a five-color intelligent control code 1; the preset model is manufactured according to a pregnant and lying-in woman pregnancy risk assessment table published by Wei-Jian Commission of province, and the pregnancy risk of the pregnant and lying-in women is judged according to body parameters, delivery inspection data and the like in detail. In the process of emergency treatment of pregnancies, more patient health information is provided through bright code emergency treatment of the five-color intelligent control code 1, and more bases are provided for emergency treatment; and in the hospital emergency treatment, the high-risk information of pregnant and lying-in women is shared by the information intercommunication of a hospital medical information system and the five-color intelligent control code 1. For example: a 'five-color' intelligent control code mobile terminal application for pregnant and lying-in women is constructed by depending on a healthy Yun Hangzhou paying treasure small program. The mobile terminal application adopts H5 technology, html5+ css3+ javascript technology route construction is adopted, the service is deployed on the Yun Hangzhou regional network server, and an external scheme is opened through a firewall security strategy and an http application service interface. The five-color intelligent control code application server, the regional maternal and child data center and the municipal maternal and child data center are in data interconnection and intercommunication through data interfaces, pregnant and lying-in woman obstetric examination data are acquired to generate five-color two-dimensional codes of pregnant and lying-in women, and health education personalization and accurate pushing are carried out according to high-risk factors of the pregnant and lying-in women.
According to the five-color intelligent control code system for pregnant and lying-in women under the control of normalized epidemic situation prevention, through the five-color intelligent control code 1, the pregnant and lying-in women need to light the five-color intelligent control code 1 when visiting the doctor in all departments of each hospital, so that doctors in all departments share the high-risk information of the pregnant and lying-in women, more comprehensive diagnosis basis is provided for visiting the pregnant and lying-in women in the pregnant period, and doctors in all departments have more specific and more definite focus on the treatment of diseases; and when the pregnant woman and the lying-in woman are in emergency outside the hospital, the historical obstetrical and pseudogenesis records of the high-risk pregnant woman and the high-risk factors can be comprehensively known through scanning the five-color intelligent control code 1, and very important help is provided for appointed emergency measures.
In one embodiment, the first mobile terminal 2 comprises a mobile phone.
In one embodiment, the five-color smart code 1 includes: green for low risk, yellow for general risk, orange for higher risk, red for high risk, and purple for infectious disease.
The working principle and the beneficial effects of the technical scheme are as follows:
according to the 'five-color' management requirement of the national Wei-Jian-Wei-Jian-Wei on pregnant and lying-in women; the pregnant and lying-in women are respectively graded and identified by 5 colors of 'green (low risk), yellow (general risk), orange (higher risk), red (high risk) and purple (infectious disease)', and represent the risk grade of the pregnant and lying-in women.
In order to realize the generation of a five-color intelligent control code 1 according to the physical parameters of the pregnant woman and the obstetrical examination data; in one embodiment, the step of analyzing the body parameters and the obstetrical examination data by the server 3 through a preset model to generate the five-color intelligent control code 1 includes:
when the basic situation of the pregnant woman is good and pregnancy complications and complications are not found, a green five-color intelligent control code 1 representing low risk is generated;
when the age of the pregnant woman is greater than or equal to a preset first age (35 years) or less than or equal to a preset second age (18 years), a yellow five-color intelligent control code 1 representing general risk is generated;
when the age of the pregnant woman is greater than or equal to a preset third age (40), generating a five-color intelligent control code 1 representing high-risk orange;
when one or more of dangerous preposed placenta, pregnancy bleeding and placental peeling appear in the pregnant woman delivery inspection data, an intelligent control code representing high-risk red color is generated;
when the pregnant woman has pregnancy with infectious diseases, a purple five-color intelligent control code 1 representing ultra-high risk is generated.
The working principle and the beneficial effects of the technical scheme are as follows:
the preset model is manufactured according to a pregnant and lying-in woman pregnancy risk assessment table published by Wei-Jian-Wei, and the pregnancy risk of pregnant and lying-in women is judged according to body parameters, obstetric examination data and the like in detail. By means of the five-color intelligent control code of pregnant and lying-in women, pregnant and lying-in women with the pregnancy risks classified as orange, red and purple are taken as key people to be brought into the special case management of high-risk pregnant and lying-in women, the special cases, the whole course management are ensured, and the targeted one-to-one personalized special case management is realized. The related health education knowledge is pushed, the health education target is more accurate and effective, and the pushed content is more personalized. In addition, the pregnancy risk of pregnant and lying-in women can be specifically judged by referring to a pregnancy risk assessment table (2018 edition) of pregnant and lying-in women in Zhejiang province;
in one embodiment, the step of analyzing the body parameters and the obstetrical examination data by the server 3 through a preset model to generate the five-color intelligent control code 1 further includes:
acquiring a preset substrate image;
carrying out binarization processing on the substrate image;
replacing the color with the gray value of 0 in the base image after binarization processing with the color corresponding to the five-color intelligent control code 1 to obtain a first image;
equally dividing the first image into a plurality of data storage units; the data storage units are separated by frame lines with colors corresponding to the five-color intelligent control codes 1;
and the body parameters and the birth inspection data are mapped into saturation parameters of the colors of the data storage unit and stored in the data storage unit.
The working principle and the beneficial effects of the technical scheme are as follows:
each data storage unit is separated by a frame line, so that accurate identification of each data storage unit is ensured; analyzing the physical parameters and the obstetrical examination data of the pregnant woman by identifying the saturation parameters of the colors of the data storage unit; the color of the binarized gray value 0 is black, the black in the substrate image is converted into the color corresponding to the five-color intelligent control code 1, and a user can directly see the risk level of the pregnant woman from the color of the five-color intelligent control code 1.
In one embodiment, the server 3 further evaluates the confidence of the five-color smart code 1 and sends the evaluation result to the first mobile terminal 2;
the server 3 evaluates the confidence of the five-color intelligent control code 1, and specifically includes:
obtaining a predetermined matrix a ═ Q1,···,QiAnd weight function alpha (Q) corresponding to each identification unit in the preset matrixi) And a confidence function beta (Q)i);
Obtaining the evaluation data of N doctors on the obstetrical examination data as one evaluation evidence, obtaining M evaluation evidences in total, and marking the jth evaluation evidence as Mj={(Qj,mj,m),(f,θf),m=1,···,N};
Determining the weight of the evaluation evidence based on a preset matrix and a weight function, wherein the calculation formula is as follows:
Figure GDA0003522694660000081
wherein, α (M)j) Weight for the jth evaluation evidence, Qj,mThe mth evaluation data of the jth evaluation evidence; alpha is alphaj,mIs Qj,mObtaining a weight value based on a preset matrix and a weight function according to the evaluation data, wherein f is an initial weight value of the evaluation evidence, and thetafA coefficient evaluating an initial weight value of the evidence;
determining a confidence value of the evaluation evidence based on the preset matrix and the confidence value function, wherein the calculation formula is as follows:
Figure GDA0003522694660000082
wherein, Z (M)j) Confidence value, β, for the jth evaluation evidencej,mIs Qj,mC is a relation coefficient of the initial weight value and the initial confidence value;
based on the confidence values of the M evaluation evidences, calculating the confidence Z of the five-color intelligent control code 1, wherein the calculation formula is as follows:
Figure GDA0003522694660000083
wherein D is the standard deviation of the confidence value of the evaluation evidence, and gamma is the correction weight;
and when the confidence coefficient of the five-color intelligent control code 1 is greater than the preset value, the five-color intelligent control code 1 is proved to be credible.
The working principle and the beneficial effects of the technical scheme are as follows:
the credibility of the five-color intelligent control code 1 is evaluated through the confidence coefficient; the public credibility of the five-color intelligent control code 1 is improved; the diagnosis basis with more comprehensive and more credible functions is provided for the treatment of pregnant and lying-in women in the pregnancy period, and doctors in various departments have more specific and more definite attention points on the treatment of diseases.
In one embodiment, the server 3 includes: a first server and a second server;
the first server stores the pregnant and lying-in woman data of the regional maternal and child data center;
the second server stores the data of pregnant and lying-in women in the city maternal and child data center.
The working principle and the beneficial effects of the technical scheme are as follows:
as shown in fig. 2 and fig. 3, for a specific case to which the embodiment is applied, when a doctor visits, firstly, sex is determined, then, age is determined, when the age is 12 to 50, pregnant and lying-in woman data of the regional maternal and child data center is called from the first server to determine whether the doctor is a pregnant woman, when the pregnant and lying-in woman data of the regional maternal and child data center is determined to be the pregnant woman, a pregnancy risk evaluation result of the pregnant woman is obtained, and whether the evaluation result is orange, red or purple is determined; if so, popping up the pregnant and lying-in woman five-color intelligent control code 1, and diagnosing according to the five-color intelligent control code 1; and when the pregnant and lying-in woman data of the regional maternal and child data center cannot be determined as the pregnant and lying-in woman, calling the pregnant and lying-in woman data of the municipal maternal and child data center from the second server to confirm whether the patient is the pregnant and lying-in woman.
In one embodiment, the normalized epidemic situation prevention and control lower pregnant and lying-in woman five-color intelligent control code system further comprises a second terminal, which is arranged on a hospital bed and used for acquiring the five-color intelligent control code 1 displayed by the first mobile terminal 2 and adjusting the reminding state according to the five-color intelligent control code 1;
the second terminal includes: the device comprises a camera, a processor and a reminding device; the camera and the reminding device are respectively and electrically connected with the processor;
the reminding device comprises: the five-color indicator lamp strip is arranged at the head of the sickbed.
The working principle and the beneficial effect of the technical scheme are as follows;
when pregnant and lying-in women are in hospital, through the five-color intelligent control code 1 of the second terminal brush on the sickbed, the second terminal shows the color corresponding to the five-color intelligent control code 1 through the five-color indicator lamp strip, the medical personnel are reminded in real time, and the handling of the diseases of the pregnant and lying-in women is guaranteed to have pertinence and more definite focus.
In one embodiment, the second terminal is communicatively connected to the server 3,
the second terminal acquires the five-color intelligent control code 1 displayed by the first mobile terminal 2, analyzes the five-color intelligent control code 1 to acquire the obstetrical examination data of the pregnant woman, predictively updates the data in the obstetrical examination data based on the time of the obstetrical examination data, and sends the updated obstetrical examination data to the server;
the server 3 substitutes the updated production testing data into a preset model to regenerate the five-color intelligent control code 1, and the server 3 sends the new five-color intelligent control code 1 to the second terminal; and the second terminal controls the display of the five-color indicator lamp strip according to the new five-color intelligent control code 1.
The working principle and the beneficial effects of the technical scheme are as follows:
summarizing the increase and decrease of relevant data in the production test data with respect to time according to a large amount of data; and then predicting the production detection data at the current moment by using the production detection data and the production detection time of the production detection data in the five-color intelligent control code 1 acquired by the second terminal, and regenerating the five-color intelligent control code 1 according to the production detection data at the current moment to ensure the timeliness of the five-color intelligent control code 1.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.

Claims (5)

1. The utility model provides a pregnant and lying-in woman five-color intelligence accuse sign indicating number system under control is prevented to normalized epidemic situation, a serial communication port, include: the system comprises a five-color intelligent control code (1), a first mobile terminal (2) and a server (3);
the first mobile terminal (2) is in communication connection with the server terminal (3);
the first mobile terminal (2) is used for acquiring physical parameters and obstetric examination data of a pregnant woman; the body parameters and the birth test data are sent to the server (3), the server (3) analyzes the body parameters and the birth test data through a preset model to generate the five-color intelligent control code (1) and sends the five-color intelligent control code to the first mobile terminal (2) for storage;
the five-color intelligent control code (1) comprises: green for low risk, yellow for general risk, orange for higher risk, red for high risk, and purple for infectious disease;
the server (3) analyzes the body parameters and the birth inspection data through a preset model to generate the five-color intelligent control code (1) and comprises the following steps:
when the pregnant woman is in good basic condition and does not find pregnancy complications, generating the five-color intelligent control code (1) representing low-risk green;
when the age of the pregnant woman is greater than or equal to a preset first age or less than or equal to a preset second age, the yellow five-color intelligent control code (1) representing general risks is generated;
when the age of the pregnant woman is greater than or equal to a preset third age, the five-color intelligent control code (1) representing orange with higher risk is generated;
when one or more of dangerous preposed placenta, pregnancy bleeding and placental peeling appear in the pregnant woman delivery test data, generating the intelligent control code representing high-risk red color;
when the pregnant woman has pregnancy complicated infectious diseases, the five-color intelligent control code (1) representing ultra-high-risk purple is generated;
the server (3) analyzes the body parameters and the obstetrical examination data through a preset model to generate the five-color intelligent control code (1) further comprising:
acquiring a preset substrate image;
carrying out binarization processing on the substrate image;
replacing the color with the gray value of 0 in the base image after binarization processing with the color corresponding to the five-color intelligent control code (1) to obtain a first image;
equally dividing the first image into a plurality of data storage units; the data storage units are separated by adopting frame lines with colors corresponding to the five-color intelligent control codes (1);
mapping the body parameters and the birth inspection data into saturation parameters of colors of the data storage unit and storing the saturation parameters in the data storage unit;
the server (3) also evaluates the confidence of the five-color intelligent control code (1) and sends the evaluation result to the first mobile terminal (2);
the server (3) evaluates the confidence of the five-color intelligent control code (1), and specifically comprises the following steps:
obtaining a predetermined matrix a ═ Q1,…,QiA weighting function alpha (Q) corresponding to each recognition unit in the preset matrixi) And a confidence function beta (Q)i);
Obtaining the evaluation data of N doctors on the obstetrical examination data as an evaluation evidence, obtaining M evaluation evidences in total, and marking the jth evaluation evidence as Mj={(Qj,mj,m),(f,θf),m=1,…,N};
Determining the weight of the evaluation evidence based on the preset matrix and the weight function, wherein the calculation formula is as follows:
Figure FDA0003564392790000021
wherein, α (M)j) Weight of the evaluation evidence of item j, Qj,mThe mth evaluation data of the jth evaluation evidence; alpha is alphaj,mIs Qj,mObtaining a weight value according to the evaluation data based on the preset matrix and the weight function, wherein f is an initial weight value of the evaluation evidence, and thetafA coefficient of initial weight values of the evaluation evidence;
determining a confidence value of the evaluation evidence based on the preset matrix and the confidence value function, wherein a calculation formula is as follows:
Figure FDA0003564392790000022
wherein, Z (M)j) For the confidence value of the evaluation evidence, betaj,mIs Qj,mC is a relation coefficient of an initial weight value and an initial confidence value according to the confidence value obtained by the evaluation data based on the preset matrix and the confidence value function;
calculating the confidence Z of the five-color intelligent control code (1) based on the confidence values of the M evaluation evidences, wherein the calculation formula is as follows:
Figure FDA0003564392790000031
wherein D is the standard deviation of the confidence value of the evaluation evidence, and gamma is the correction weight;
and when the confidence coefficient of the five-color intelligent control code (1) is greater than a preset value, the five-color intelligent control code (1) is credible.
2. The code system for controlling the intelligence of five colors of pregnant and lying-in women under the prevention and control of normalized epidemic situations as claimed in claim 1, wherein the first mobile terminal (2) comprises a mobile phone.
3. The code system is controlled to pregnant and lying-in women's five-color intelligence of normalizing epidemic situation prevention of claim 1, characterized in that, the server (3) includes: a first server and a second server;
the first server stores pregnant and lying-in woman data of a regional maternal and child data center;
the second server stores the data of pregnant and lying-in women in the municipal women and children data center.
4. The normalized epidemic situation prevention and control lower pregnant and lying-in woman five-color intelligent control code system as claimed in claim 1, further comprising a second terminal arranged on a hospital bed and used for acquiring the five-color intelligent control code (1) displayed by the first mobile terminal (2) and adjusting a reminding state according to the five-color intelligent control code (1);
the second terminal includes: the device comprises a camera, a processor and a reminding device; the camera and the reminding device are respectively and electrically connected with the processor;
the reminding device comprises: and the five-color indicator lamp strip is arranged at the bedside of the sickbed.
5. The normalized epidemic situation prevention and control lower pregnant and lying-in woman five-color intelligent control code system as claimed in claim 4, wherein the second terminal is in communication connection with the server (3),
the second terminal acquires the five-color intelligent control code (1) displayed by the first mobile terminal (2), analyzes the five-color intelligent control code (1) to acquire the obstetrical examination data of the pregnant woman, predictively updates the data in the obstetrical examination data based on the time of the obstetrical examination data, and sends the updated obstetrical examination data to the server;
the server (3) substitutes the updated production testing data into a preset model to regenerate the five-color intelligent control code (1), and the server (3) sends the new five-color intelligent control code (1) to the second terminal; and the second terminal controls the display of the five-color indicator lamp strip according to the new five-color intelligent control code (1).
CN202010609996.1A 2020-06-29 2020-06-29 Code system is controlled to pregnant woman's five colours intelligence under normalized epidemic situation prevention control Active CN111901382B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202010609996.1A CN111901382B (en) 2020-06-29 2020-06-29 Code system is controlled to pregnant woman's five colours intelligence under normalized epidemic situation prevention control

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202010609996.1A CN111901382B (en) 2020-06-29 2020-06-29 Code system is controlled to pregnant woman's five colours intelligence under normalized epidemic situation prevention control

Publications (2)

Publication Number Publication Date
CN111901382A CN111901382A (en) 2020-11-06
CN111901382B true CN111901382B (en) 2022-05-17

Family

ID=73207306

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202010609996.1A Active CN111901382B (en) 2020-06-29 2020-06-29 Code system is controlled to pregnant woman's five colours intelligence under normalized epidemic situation prevention control

Country Status (1)

Country Link
CN (1) CN111901382B (en)

Family Cites Families (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102565297B (en) * 2012-01-06 2014-11-12 浙江大学 Surface water quality evaluation method based on combined weight
CN104835094A (en) * 2015-03-23 2015-08-12 同济大学 Health information management system based on two-dimension code recognition
EP3210527A1 (en) * 2016-02-29 2017-08-30 Covidien AG Remote patient data monitoring
CN105975984B (en) * 2016-04-29 2018-05-15 吉林大学 Network quality evaluation method based on evidence theory
CN106647355B (en) * 2016-11-09 2023-11-07 中国民用航空飞行学院 Data processing method and system for flight scenario environment evaluation
GB201619902D0 (en) * 2016-11-24 2017-01-11 Univ Oxford Innovation Ltd Patient status monitor and method of monitoring patient status
CN106845830A (en) * 2017-01-20 2017-06-13 武汉哒呤科技有限公司 A kind of method and apparatus evaluated to user credit
CN108091383A (en) * 2018-02-05 2018-05-29 深圳市是源医学科技有限公司 Maternal weight gain data managing method, system, computer equipment and storage medium
CN109872784A (en) * 2019-01-14 2019-06-11 平安科技(深圳)有限公司 Intelligent case history generation method, device, computer equipment and storage medium
CN211087287U (en) * 2020-02-17 2020-07-24 中共杭州市余杭区委办公室 Pass identification management system and access control system based on changeable color two-dimensional code
CN111210886A (en) * 2020-03-05 2020-05-29 宁波一川交通科技有限公司 System and method for collecting human health data in real time

Also Published As

Publication number Publication date
CN111901382A (en) 2020-11-06

Similar Documents

Publication Publication Date Title
US10004463B2 (en) Systems, methods, and computer readable media for using descriptors to identify when a subject is likely to have a dysmorphic feature
Lloyd et al. Familial breast cancer: a controlled study of risk perception, psychological morbidity and health beliefs in women attending for genetic counselling
CN108369642A (en) Acute disease feature is explained and quantified according to head computer tomography
CN109310317A (en) System and method for automated medicine diagnosis
WO2022099668A1 (en) Method and system for precise health management and risk early warning based on association between familial genetic disease and sign data
CN107767929A (en) CRF filling method, device, electronic equipment and storage medium
CN103690240A (en) Medical system
CN112102905A (en) Intelligent medical cloud service platform
Mitra et al. Pregnancy and neonatal outcomes among deaf and hard of hearing women: Results from nationally representative data
Wang et al. Noninvasive electromyometrial imaging of human uterine maturation during term labor
CN111901382B (en) Code system is controlled to pregnant woman's five colours intelligence under normalized epidemic situation prevention control
CN105517488A (en) Device and methods for assessing, diagnosing, and/or monitoring heart health
Pulwasha et al. Artificial intelligence: a new paradigm in obstetrics and gynecology research and clinical practice
Tsang et al. Role of healthcare professionals in cancer screening
Tamaru et al. Feasibility of a mobile cardiotocogram device for fetal heart rate self‐monitoring in low‐risk singleton pregnant women
CN111986776A (en) Perioperative treatment risk intelligent prompting method
CN113344914B (en) Method and device for intelligently analyzing PPD skin test result based on image recognition
Revathy et al. Pregnancy in the Digital Age: A New Era of Healthcare Technologies
TWI795854B (en) A management system for isolated patients with a visual intelligence system
CN209674885U (en) A kind of health detection management system
Subbhuraam FemTech solutions for advancing women’s health
CN108542350A (en) Blood routine automatic analyzer
US20240153075A1 (en) Electronic device for ai-based recommendation of melanoma biopsy site and method for performing the same
McMurchie The role of the primary care physician
CN118155858A (en) ARDS patient acute respiratory distress emergency method based on CNN model

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant
CB03 Change of inventor or designer information

Inventor after: Zhang Lai

Inventor after: Ding Zhiming

Inventor after: Tan Jianqin

Inventor after: Wang Fang

Inventor after: Li Haihong

Inventor after: Yu Juan

Inventor after: Wang Zhongan

Inventor after: He Li

Inventor before: Zhang Lai

CB03 Change of inventor or designer information
CP03 Change of name, title or address

Address after: 310000 west side of Renmin Avenue, Nanyuan street, Linping District, Hangzhou City, Zhejiang Province

Patentee after: Hangzhou Linping maternal and Child Health Hospital

Address before: 310000 west side of Renmin Avenue, Nanyuan street, Yuhang District, Hangzhou City, Zhejiang Province

Patentee before: Hangzhou Yuhang District Maternal and Child Health Hospital

CP03 Change of name, title or address
TR01 Transfer of patent right

Effective date of registration: 20240115

Address after: 311100 Room 605, 6th Floor, Building 2, Woody Center, Cangqian Street, Yuhang District, Hangzhou City, Zhejiang Province

Patentee after: Hangzhou hele Technology Co.,Ltd.

Address before: 310000 west side of Renmin Avenue, Nanyuan street, Linping District, Hangzhou City, Zhejiang Province

Patentee before: Hangzhou Linping maternal and Child Health Hospital

TR01 Transfer of patent right