DE202022101829U1 - System for managing vaccination data using machine learning and big data analysis - Google Patents

Abstract

A system (10) for managing vaccination data using machine learning and big data analysis, the system comprising:
a database (1), said database (1) containing the data of vaccinated and non-vaccinated persons, said database (1) being connected to a server (11), said server (11) comprising the data and continuously by a online vaccination portal is updated, the updating of the database (1) being carried out using a method comprising the following steps:
initiating a process to ensure continuity of vaccination;
querying an information system for vaccinated persons for data;
linking the data from the vaccinated person information database (1) to a immunization management database (1) to populate the immunization management database (1);
Simultaneous scaling of the vaccination management database (1) using means of the distributed computing infrastructure; and,
Moving personal vaccination information to an online platform; and
a data management module (2) used to manage the data received from the database (1), the classification of the data being performed using a machine learning module, the classification being performed using big data analysis to identify trends in the identify data, wherein the data management module (2) classifies the data according to age, gender, location, health parameters and patient data, and the data management module (2) is used to a alert large group of people to missing data using contact information provided in the database (1).

Description

FIELD OF THE INVENTION

The present invention relates to the field of computer-implemented management of large amounts of data.

The present invention relates to the field of machine learning and big data management.

More particularly, the present invention relates to a vaccination data management system utilizing machine learning and big data analysis.

BACKGROUND OF THE INVENTION

The subject matter discussed in the background section should not be assumed to constitute prior art merely by virtue of its mention in the background section. Likewise, it should not be assumed that any problem mentioned in the background section or associated with the subject matter of the background section has already been recognized in the prior art. The subject matter of the background section merely presents various approaches, which in themselves may also be inventions.

KR1020040025303 - DATA COMMUNICATION TERMINAL MANAGEMENT SYSTEM AND METHOD: A data communication terminal management system and method are provided to offer an operating status of a vaccine machine and the information permitted by the data communication terminal by using the information communicated with a terminal at a terminal -Management unit registered IP (Information Provider) address are displayed on a screen while the operation status of the vaccine machine is reported to the outside. The data communication terminal (20a-20n) provides the operational status of the vaccine motor to the outside by selectively connecting to an information providing server (10a-10n) via a wired/wireless data communication network and displaying the information from the information providing server on the screen when the vaccine motor is operated by establishing an online connection to the externally transmitted IP address of the information providing server. The terminal management unit receives the operation status of the vaccine motor through connection with the data communication terminal, outputs it by voice, and registers the IP address of the information providing server. An operational server (50) manages the terminal management unit via the data communication network.

CN113688423 - DATA MANAGEMENT METHOD, SYSTEM AND DEVICE FOR A MOBILE VACCINATION VEHICLE: The invention discloses a data management method, system and device for a mobile vaccination vehicle, and the method comprises the steps of: obtaining vaccine data from each compound in a vaccination process and storing the vaccine data in a blockchain; hashing the vaccine data to obtain a first hash value and storing the first hash value in a hash value list; when a traceability query instruction sent from a traceability terminal is received, determining a traceability label of a vaccine to be polled according to the traceability query instruction and obtaining traceability data corresponding to the vaccine to be polled according to the traceability label; hashing the traceability data to obtain a second hash value and querying whether or not a first hash value that matches the second hash value is stored in a hash value list; and if so, sending the vaccine data corresponding to the first hash value that matches the second hash value to the traceability terminal, so that the cloud server caching pressure can be relieved, the risk of the vaccine data being manipulated are reduced and the truthfulness and reliability of the traceability data is improved.

CN111798952 - RESIDENT HEALTH MANAGEMENT MEDICAL BIG DATA PLATFORM: The invention discloses a medical big data platform for the health management of residents. The platform includes a health monitoring module for collecting vital signs and movement data of a user via a monitoring terminal; a personal health archive in communication with the monitoring module and created according to the user's medical record history, the user's vital signs, the movement data, and the user's basic information parameters; and a health management system in communication with the personal health archive and the health monitoring module and used to manage the health of residents; wherein the health management system includes a disease management library, a medical guidance module, and a doctor's visit module. With the medical Resident health management big data platform, the goals of reducing morbidity of chronic diseases and genetic diseases and delaying disease development are achieved, and the functions of statistical analysis of vaccination-related information, vaccine safety management, immune decision analysis and the like are achieved .

DE000010341011 - DATABASE-SUPPORTED VACCINATION DATA MANAGEMENT BY DOCTORS, PATIENTS USING MODERN SECURITY TECHNOLOGY FOR USER-CONTROLLED ACCESS TO DATABASE CONTENT, FAST VACCINATION STATUS RECOGNITION: The procedure includes database-based administration of vaccination data by doctors, pharmacists, health insurance companies and patients using modern security technology for user-controlled access to database content with simultaneous activation of a traffic light system for rapid vaccination status recognition.

CN107193912 - INTELLIGENT VACCINE INJECTION DATA AUTOMATIC RECORDING AND ARCHIVE MANAGEMENT SYSTEM: The invention discloses an intelligent vaccine injection system with automatic data recording and archive management. The system includes a mobile phone terminal APP, a two-dimensional device code, a two-dimensional vaccine code, a computer terminal database, a user registration terminal, a device control terminal and device system data, where a user performs user registration on the mobile phone terminal APP through the user registration terminal, the mobile phone terminal APP is connected to the computer terminal database through the Internet, data information of the device two-dimensional code and the vaccine two-dimensional code is connected to the computer terminal database through the mobile phone terminal APP, and the device control terminal includes the device system data and with connected to the computer terminal database via the Internet. The intelligent system of automatic recording and archiving of vaccine injection system data is reasonable in structure, injection data, device information, vaccine information and other data of a vaccine injection device control system can be transferred to a network database after it is obtained, a large data collection is realized, the archiving and analysis of information is convenient , and the system is quite convenient to use.

CN109285592 - BIG DATA-BASED ANIMAL VACCINE ANTIEPIDEMIC INFORMATION MANAGEMENT METHOD The invention discloses a big data-based animal vaccine antiepidemic information management method, comprising the following steps: 1, epidemiology management; 2, management of farmer's insurance; 3, Vaccine commodity and material information management; 4, distribution of vaccine; 6, animal production quarantine support management; 7, management of biosecurity disposal of deceased animals and poultry. The big data method can upload all the information to a cloud end system, so that the backstage management personnel can quickly make an early warning forecast based on the uploaded data and the conditions automatically analyzed by the system, and determine the nature and scale of the ant epidemic can. The related conditions and the vaccine information needed can be determined quickly and accurately in the ant epidemic process, and timely uploaded to the cloud-end data system; the cloud end system can automatically generate statistics and collect data; the cloud end data system can quickly compare the vaccine inventory with the uploaded information about the ant epidemic and vaccine needs, supplement vaccines according to this information, record the effect of the ant epidemic, and upload the data to the cloud end data system to make vaccine adjustments at a later date.

KR1 020070070411 - METHOD OF CURING A MOBILE VIRUS OF A MOBILE TERMINAL USING A DATA MANAGEMENT PROGRAM WITH BUILT-IN METHOD OF CUREING A MOBILE VIRUS WITH A DATA MANAGER PROGRAM AND A RECORDING MEDIA STORING THE VACCINATION PROGRAM THEREFORE: Method of curing a mobile virus with a data manager program and a recording medium containing a vaccination program stores thereof are provided to prevent waste of a mobile resource by using an external vaccination program embedded in the data manager program without storing the vaccination program in the mobile terminal. A computer and the mobile terminal are synchronized by executing the computer's data management program (S303). A virus check is performed for the files stored in the mobile terminal by executing the vaccination program (S307) embedded in the data management program. If the virus is found, the infected files are cured by transmitting a curing module corresponding to the virus found by a virus detection algorithm to the mobile terminal (S311).

Groupings of alternative elements or embodiments of the invention disclosed herein are not intended to be limiting. Each group member may be referenced and claimed individually or in any combination with other members of the group or other elements contained herein. One or more members of a group may be included in or removed from a group for reasons of convenience and/or patentability. Where such inclusion or deletion occurs, the specification is deemed to contain the group as amended, thereby satisfying the written description of all Markush groups used in the appended claims.

As used in the present specification and the following claims, the meaning of "a", "an" and "the" includes the plural unless the context clearly dictates otherwise. As used in the present specification, the meaning of "in" also includes "in" and "am" unless the context clearly dictates otherwise.

The enumeration of value ranges serves only as a short name for each individual value that falls within the range. Unless otherwise noted here, each individual value is included in the specification as if it were individually listed here. All methods described herein can be performed in any suitable order, unless otherwise indicated herein or the context clearly dictates otherwise.

The use of examples or exemplary language (e.g., "such as") with respect to particular embodiments is intended solely to better illustrate the invention and should not be construed as limiting the scope of the otherwise claimed invention. No language in the specification is intended as an indication of a unclaimed element essential to the practice of the invention.

The information disclosed in this Background section is only for enhancement of understanding of the background of the invention and therefore it may contain information that does not form the prior art that is already known to a person of ordinary skill in this country.

SUMMARY

Before describing the present systems and methods, it should be noted that this application is not limited to the systems and methods described, as there may be several possible embodiments that are not expressly illustrated in the present disclosure. It is also to be understood that the terminology used in the specification is for the purpose of describing particular versions or embodiments only and is not intended to limit the scope of the present application.

Above all, the present invention heals and solves the technical problems that exist in the prior art. In response to these problems, the present invention discloses system of vaccination data management using machine learning and big data analysis.

One aspect of the present invention is the provision of a system for managing vaccination data using machine learning and big data analysis, the system comprising: a database, the database containing the data of vaccinated and non-vaccinated persons, the database being connected to a server is comprising data and is continuously updated through an online vaccination portal, the updating of the database being performed using a method comprising the steps of: initiating a vaccination continuity process; querying an information system for vaccinated persons for data; linking the vaccinated person information database data to a vaccination administration database to populate the vaccination administration database; concurrently scaling the vaccine administration database using means of a distributed computing infrastructure; and transmitting the vaccination information from an individual to an online platform; A data management module used to manage the data received from the database, the classification of the data being performed using a machine learning module, the classification being performed using big data analysis to identify trends in the data, the Data management module that classifies data according to age, gender, location, health parameters and patient data to alert a large group of data using contact information provided in the database.

character list

In order to clarify various aspects of some embodiments of the present invention, a more detailed description of the invention will be given by reference to certain embodiments illustrated in the attached figures. It is understood that these figures represent only illustrated embodiments of the invention and therefore not as a unit limit the scope of the invention. The invention will be described and illustrated with additional specificity and detail through the use of the accompanying figures.

• 1 ein Blockdiagramm des Systems (10) zur Verwaltung von Impfdaten mit Hilfe von maschinellem Lernen und der Analyse großer Datenmengen zeigt.

In order that the advantages of the present invention may be readily understood, a detailed description of the invention is discussed below in conjunction with the attached figures, which should not, however, be construed as limiting the scope of the invention to the attached figures, in which:

• 1 Figure 12 shows a block diagram of the system (10) for managing vaccination data using machine learning and big data analysis.

DETAILED DESCRIPTION

The present invention relates to a system for managing vaccination data using machine learning and big data analysis.

1 shows a detailed block diagram of the system (10) for managing vaccination data using machine learning and big data analysis.

Although the present disclosure has been described with the purpose of system vaccination data management using machine learning and big data analysis, it should be appreciated that the same has been done only to illustrate the invention in an exemplary manner and any other purpose or Function for which declared structures or configurations could be used and is to be marked within the scope of the present disclosure.

The system (10) for managing vaccination data using machine learning and big data analysis is presented in this disclosure.

The system (10) for managing vaccination data using machine learning and big data analysis comprises a database (1) and a data management module (2). The system includes at least one processor, memory, and a communication unit for communicating with another device. An online portal collects information from an associated mobile application.

The database (1) with the data of the vaccinated and non-vaccinated persons, the database (1) being connected to a server (11). The database (1) is a cloud-based database (1).

The server (11) contains the data and is continuously updated by an online vaccination portal.

The updating of the database (1) is carried out using a method comprising the following steps: Initiating a vaccination continuity process.

Then a query of the data of a vaccinated person is carried out. Then, the data of the vaccinated person information database (1) is connected to a vaccination management database (1) to populate the vaccination management database (1).

The vaccination management database (1) will be scaled using a distributed computing infrastructure, and then the information about the vaccinations that will be performed on-site will be uploaded to an online platform.

The data management module (2) is used to manage the data received from the database.

The data is classified using a machine learning engine. Classification is done using extensive data analysis to identify trends in the data.

The data management module (2) classifies the data according to age, gender, location, health parameters and patient data.

The data management module (2) facilitates the alerting of a large group of people when data is scarce using the contact information contained in the database (1).

The machine learning engine is trained on a large amount of data.

The figures and the preceding description show examples of embodiments. Those skilled in the art will understand that one or more of the elements described may well be combined into a single functional element. Alternatively, certain elements can be broken down into multiple functional elements. Elements from one embodiment may be added to another embodiment. For example, the order of the processes described herein may be changed and is not limited to the manner described herein. Also, the actions of a block diagram do not need to be performed in the order shown, and not all actions need to be performed. Also, those actions that are not dependent on other actions can be done in parallel with the other actions to be executed. The scope of the embodiments is in no way limited by these specific examples.

Although embodiments of the invention have been described in language specific to structural features and/or methods, the appended claims are not necessarily limited to the specific features or methods described. Rather, the specific features and methods are disclosed as examples of embodiments of the invention.

QUOTES INCLUDED IN DESCRIPTION

This list of documents cited by the applicant was generated automatically and is included solely for the better information of the reader. The list is not part of the German patent or utility model application. The DPMA assumes no liability for any errors or omissions.

Patent Literature Cited

• KR 1020040025303 [0005]
• CN113688423 [0006]
• CN111798952 [0007]
• DE 000010341011 [0008]
• CN107193912 [0009]
• CN109285592 [0010]
• KR 1020070070411 [0011]

Claims (5)

A system (10) for managing vaccination data using machine learning and big data analysis, the system comprising: a database (1), said database (1) containing the data of vaccinated and non-vaccinated persons, said database (1) being connected to a server (11), said server (11) comprising the data and continuously by a online vaccination portal is updated, the updating of the database (1) being carried out using a method comprising the following steps: initiating a process to ensure continuity of vaccination; querying an information system for vaccinated persons for data; linking the data from the vaccinated person information database (1) to a immunization management database (1) to populate the immunization management database (1); Simultaneous scaling of the vaccination management database (1) using means of the distributed computing infrastructure; and, Moving personal vaccination information to an online platform; and a data management module (2) used to manage the data received from the database (1), the classification of the data being performed using a machine learning module, the classification being performed using big data analysis to identify trends in the identify data, wherein the data management module (2) classifies the data according to age, gender, location, health parameters and patient data, and the data management module (2) is used to identify a large group of people in the case of missing data using contact information provided in the database (1) to alert. System (10) for managing vaccination data using machine learning and big data analysis claim 1 , wherein the system comprises at least a processor, a memory and a communication unit for communication with another device. System (10) for managing vaccination data using machine learning and big data analysis claim 1 , wherein the online portal collects information from an associated mobile application. System (10) for managing vaccination data using machine learning and big data analysis claim 1 , where the machine learning engine is trained using a large amount of data. System (10) for managing vaccination data using machine learning and big data analysis claim 1 , wherein the database (1) is a cloud-based database (1).

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