CN111383757B - Method for developing echinococcosis diagnostic kit in computer-aided manner - Google Patents
Method for developing echinococcosis diagnostic kit in computer-aided manner Download PDFInfo
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
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- C—CHEMISTRY; METALLURGY
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- C12Q1/00—Measuring or testing processes involving enzymes, nucleic acids or microorganisms; Compositions therefor; Processes of preparing such compositions
- C12Q1/68—Measuring or testing processes involving enzymes, nucleic acids or microorganisms; Compositions therefor; Processes of preparing such compositions involving nucleic acids
- C12Q1/6869—Methods for sequencing
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16B—BIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
- G16B30/00—ICT specially adapted for sequence analysis involving nucleotides or amino acids
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/70—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A90/00—Technologies having an indirect contribution to adaptation to climate change
- Y02A90/10—Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation
Abstract
The invention discloses a method for developing a echinococcosis diagnostic kit in a computer-aided manner, which comprises the following steps: screening a bag worm source with early diagnosis value and host patients infected by the bag worm, classifying the bag worm source and the host patients according to the infection source once, and then classifying the data after the primary classification twice according to the infection type and symptoms; step two: screening lncRNA, miRNA, DNA and free DNA generated by specific reaction of the second classified artemia lncRNA, miRNA, DNA and free DNA with the artemia patients by a second generation sequencing technology and a bioinformatics analysis technology; the invention relates to the technical field of echinococcosis treatment. The method for developing the echinococcosis diagnosis kit by the aid of the computer provides accurate basis for early clinical treatment of the echinococcosis by collecting big data and kit information, facilitates medical staff to adopt different kits and diagnosis methods according to various symptom information of patients, and can effectively help develop the kit.
Description
Technical Field
The invention relates to the technical field of echinococcosis treatment, in particular to a method for developing a echinococcosis diagnosis kit in a computer-aided manner.
Background
Echinococcosis, also known as echinococcosis, is a disease caused by infection of human bodies by larvae of echinococcus granulosus, which is zoonosis, dogs are final hosts, sheep and cattle are intermediate hosts; humans suffer from echinococcosis due to mistaking insect eggs as an intermediate host, and present with endemic properties, called endemic parasitic disease; occupational diseases with occupational lesions in epidemic areas are classified as occupational diseases of certain groups; the echinococcosis is a common disease and frequently-occurring disease on the whole world, the echinococcosis is a disease caused by larvae of echinococcosis species, the echinococcosis granulosa, echinococcosis multifilialis, fu Shi echinococcus and echinococcus spinosus, the morphology, the host and the distribution areas of the echinococcus spinosus are slightly different, the echinococcus granulosus is the most common, the kit is used for containing chemical reagents for detecting chemical components, drug residues, virus types and the like, the echinococcosis can be detected rapidly through the kit, and the echinococcosis is one of the common tools in the diagnosis of the echinococcosis.
Chinese patent discloses a method for developing clinical chemical diagnosis kit (publication No. CN 1702643A) with the aid of computer, which processes characteristic parameters of each constituent of the kit to be developed and performance parameters required by the kit by means of computer program, thereby obtaining one or more preferable formulas. Inputting a relation formula describing interaction of each component in the kit into a computer program; the price of each component and the characteristic constant related to the reaction; and calculating the performance parameter index which is required to be achieved by the target kit, calculating the performance which the kit is required to have when the components of the kit are at different concentrations, and recommending a reagent formula which meets the target performance parameter and has low cost as a preferable formula.
The existing kit determines the composition and the reaction condition of the kit by a heuristic method, adopts the kit with different components according to different patient information, leads to longer development time of the kit, can not be used in time, leads to delayed early diagnosis or deviation of diagnosis information, needs to be continuously updated when the kit is used so as to improve the accuracy of the components and the proportion in the kit, and needs to contain patients with different sexes and ages in data so as to improve the accuracy of a cloud information base, so that the existing method does not have the function.
Disclosure of Invention
(one) solving the technical problems
Aiming at the defects of the prior art, the invention provides a method for developing a echinococcosis diagnosis kit by computer assistance, which solves the problems that the composition and the reaction condition of the existing kit are determined by a heuristic method, the kit with different components is adopted according to different patient information, the development time of the kit is longer, the kit cannot be used in time, early diagnosis is delayed or deviation occurs in diagnosis information, the kit needs to be continuously updated when in use, the accuracy of the internal components and the proportion of the kit is improved, the data needs to contain patients with different sexes and ages, the accuracy of a cloud information base is improved, and the existing method does not have the function.
(II) technical scheme
In order to achieve the above purpose, the invention is realized by the following technical scheme: a method for developing a echinococcosis diagnostic kit with the aid of a computer comprises the following steps
Step one: screening a bag worm source with early diagnosis value and host patients infected by the bag worm, classifying the bag worm source and the host patients according to the infection source once, and then classifying the data after the primary classification twice according to the infection type and symptoms;
step two: screening lncRNA, miRNA, DNA and free DNA generated by specific reaction of the second classified artemia lncRNA, miRNA, DNA and free DNA with the artemia patients by a second generation sequencing technology and a bioinformatics analysis technology;
step three: combining the screening information in the second step with a diagnostic kit used by a host patient, and then inputting the combined information data into a cloud database to establish a diagnostic coordinate system;
step four: diagnosing target molecules of the artemia infected patients, and screening the diagnostic target molecules;
step five: diagnosing and detecting sensitivity and specificity of the patient, and querying the source of the bag worm of the patient, and diagnosing symptoms of the patient;
step six: inputting the bag worm source and symptom information of the patient into a cloud database, and establishing a diagnosis method and a bag worm kit according to a diagnosis coordinate system of the cloud database;
step seven: the diagnosis method and the kit of the diagnosis coordinate system are optimized and confirmed and then used, and after the diagnosis of a patient, all information in the steps are input into a cloud information base, and the internal information is updated in real time.
Preferably, the host patient infected with the bag worm in the first step is further classified according to sex, age and physical condition, and the sex, age and physical condition are sub-classified in the second classification.
Preferably, the diagnostic coordinate system in the third step uses artemia lncRNA, miRNA, DNA and free DNA as X-axis, and lncRNA, miRNA, DNA and free DNA generated by specific reaction of the artemia patient as Y-axis, and the screening information and the diagnostic kit used by the host patient are coordinate points in the coordinate system.
Preferably, in the sixth step, when the infection host information is input, the source of the artemia, the infection type, the infection symptoms, the sex, the age and the physical health condition are sequentially input, and finally, the screening information of lncRNA, miRNA, DNA and the free DNA generated by the specific reaction of the artemia patient is input.
Preferably, the query result of the diagnostic coordinate system in the cloud information base is a range value, and the coordinate point of the screening information and the diagnostic kit used by the host patient is located at the central part of the range value.
Preferably, the range values include 3×3, 5×5 or the remaining odd multiplications, and the range values are specifically adjusted by a computer.
Preferably, the information uploaded in the seventh step includes the infection source, infection symptoms, physical information, the used echinococcosis kit and diagnosis result of the patient.
Preferably, in the seventh step, the database information needs to synchronously record the update time, the update location and the information of the uploading user during the real-time update.
(III) beneficial effects
The invention provides a method for developing a echinococcosis diagnostic kit in a computer-aided manner. The device comprises the following
The beneficial effects are that:
(1) According to the method for developing the echinococcosis diagnosis kit with the assistance of the computer, a host patient with early diagnosis value and a host patient infected by the echinococcosis are screened, the host patient is classified once according to the infection source, data after the primary classification are classified twice according to the infection type and symptoms, lncRNA, miRNA, DNA and free DNA generated by specific reaction of the second-classified echinococcosis lncRNA, miRNA, DNA and free DNA with the echinococcosis patient are screened through a second-generation sequencing technology and a bioinformatics analysis technology, screening information is combined with the diagnosis kit used by the host patient, and then combined information data are input into a cloud database to establish a diagnosis coordinate system.
(2) According to the method for developing the echinococcosis diagnosis kit with the aid of the computer, a diagnosis method and a kit of a diagnosis coordinate system are optimized and confirmed and then used, all information in the steps are input into a cloud information base after diagnosis of a patient, the internal information is updated in real time, update positions and uploading information are required to be synchronously recorded when the database information is updated in real time, in the step six, when infection host information is input, the source of the echinococcosis, infection types, infection symptoms, sex, age and physical health condition are required to be sequentially input, and finally lncRNA, miRNA, DNA generated by specific reaction of a echinococcosis patient and screening information of free DNA are input.
(3) According to the method for developing the echinococcosis diagnostic kit with the assistance of the computer, the query result of the diagnostic coordinate system in the cloud information base is used as a range value, the screening information and the diagnostic kit coordinate point used by a host patient are located at the central part of the range value, the range value comprises 3 multiplied by 5 multiplied by the other odd numbers, the range value is specifically regulated by the computer, the uploaded information in the seventh step comprises the echinococcosis infection source of the patient, the infection symptom, the physical information of the patient, the used echinococcosis kit and the query information in the diagnostic result are used as the range value, the selection of a user in a reasonable range according to actual information is facilitated, the practicability is high, the selectable range is large, the accuracy of the formula and the proportion in the kit can be effectively improved, and the user can conveniently use similar information as a reference object to refer to.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The embodiment of the invention provides a technical scheme that: a method of computer-aided development of a echinococcosis diagnostic kit comprising the steps of:
step one: screening a bag worm source with early diagnosis value and a host patient infected by the bag worm, classifying the bag worm source and the host patient according to the infection source once, and then secondarily classifying data after the primary classification according to infection types and symptoms, wherein the host patient infected by the bag worm in the first step is further classified according to gender, age and physical health condition, and the gender, age and physical health condition are used as sub-classifications in the secondary classification;
step two: screening lncRNA, miRNA, DNA and free DNA generated by specific reaction of the second classified artemia lncRNA, miRNA, DNA and free DNA with the artemia patients by a second generation sequencing technology and a bioinformatics analysis technology;
step three: combining the screening information in the second step with a diagnostic kit used by a host patient, inputting the combined information data into a cloud database to establish a diagnostic coordinate system, wherein the diagnostic coordinate system in the third step takes the artemia lncRNA, miRNA, DNA and free DNA as X axes, and takes lncRNA, miRNA, DNA and free DNA generated by specific reaction of the artemia patient as Y axes, and the screening information and the diagnostic kit used by the host patient are coordinate points in the coordinate system;
step four: diagnosing target molecules of the artemia infected patients, and screening the diagnostic target molecules;
step five: diagnosing and detecting sensitivity and specificity of the patient, and querying the source of the bag worm of the patient, and diagnosing symptoms of the patient;
step six: inputting the bag worm source and symptom information of a patient into a cloud database, inputting bag worm source, infection type, infection symptom, sex, age and physical health condition sequentially when inputting infection host information, inputting lncRNA, miRNA, DNA and screening information of free DNA generated by specific reaction of the bag worm patient, wherein a query result of a diagnosis coordinate system in the cloud database is a range value, a coordinate point of the screening information and a diagnosis kit used by the host patient is positioned at the central part of the range value, the range value is a 3X 3 coordinate point, the range value is specifically regulated by a computer, and a diagnosis method and a bag worm kit are established according to the diagnosis coordinate system of the cloud database;
step seven: the diagnosis method and the kit of the diagnosis coordinate system are optimized and confirmed and then used, all information in the steps are input into a cloud information base after the diagnosis of a patient, the information uploaded in the step seven comprises the infection source, infection symptoms of the patient, body information of the patient, the adopted echinococcosis kit and the diagnosis result of the patient, the internal information of the patient is updated in real time, and the update time, the update position and the information of an uploading person are synchronously recorded when the database information in the step seven is updated in real time.
According to the invention, by collecting big data and kit information, an accurate basis is provided for early clinical treatment of echinococcosis, different kits and diagnosis methods are conveniently adopted by medical staff according to various symptom information of patients, the development of the kits can be effectively facilitated, meanwhile, the accuracy of the kits can be effectively improved, the cloud database in the invention is updated in real time, the effectiveness and accuracy of the cloud database can be effectively improved, the medical staff can conveniently adopt different kits and diagnosis modes according to latest data information, the cloud database adopts a real-name system, the problem of malicious data addition can be prevented, the data damage of the cloud database is prevented, the query information in the invention is a range value, a user can conveniently select in a reasonable range according to the actual information, the practicability is high, the selectable range is large, the accuracy of the formula and proportion in the kits can be effectively improved, and the user can conveniently use similar information as a reference object for reference.
Specific implementation is that a patient is infected with echinococcosis after contacting a wandering dog, when the patient is in hospital treatment, medical staff inputs symptom information and infection sources of the patient into a cloud server through a computer, then inputs lncRNA, miRNA, DNA and free DNA information generated by specific reaction of the echinococcosis patient, lncRNA, miRNA, DNA and free DNA into the cloud server again, obtains information coordinate points of 3X 3 related cases, confirms a most similar case in 9 medical cases, adopts a similar diagnosis mode and a echinococcosis kit of the case after confirmation, finally effectively treats the disease condition of the patient in early stage, and transmits symptom, diagnosis mode and kit information of the patient to the cloud server through a real-name mode after the patient is recovered.
It is noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (6)
1. A method of computer-aided development of a echinococcosis diagnostic kit, characterized in that: comprises the following steps
Step one: screening a bag worm source with early diagnosis value and host patients infected by the bag worm, classifying the bag worm source and the host patients according to the infection source once, and then classifying the data after the primary classification twice according to the infection type and symptoms;
step two: screening lncRNA, miRNA, DNA and free DNA generated by specific reaction of the second classified artemia lncRNA, miRNA, DNA and free DNA with the artemia patients by a second generation sequencing technology and a bioinformatics analysis technology;
step three: combining the screening information in the second step with a diagnostic kit used by a host patient, and then inputting the combined information data into a cloud database to establish a diagnostic coordinate system;
step four: diagnosing target molecules of the artemia infected patients, and screening the diagnostic target molecules;
step five: diagnosing and detecting sensitivity and specificity of the patient, and querying the source of the bag worm of the patient, and diagnosing symptoms of the patient;
step six: inputting the bag worm source and symptom information of the patient into a cloud database, and establishing a diagnosis method and a bag worm kit according to a diagnosis coordinate system of the cloud database;
step seven: the diagnosis method and the kit of the diagnosis coordinate system are optimized and confirmed and then used, and after the diagnosis of a patient, all information in the steps are input into a cloud information base, and the internal information is updated in real time;
the diagnosis coordinate system in the third step takes the artemia lncRNA, miRNA, DNA and the free DNA as X axis, and takes lncRNA, miRNA, DNA and the free DNA generated by specific reaction of the artemia patients as Y axis, and the screening information and the diagnosis kit used by the host patient are coordinate points in the coordinate system;
in the sixth step, when infection host information is input, the source of the artemia, the type of infection, the symptoms of infection, the sex, the age and the physical health condition are sequentially input, and finally, lncRNA, miRNA, DNA generated by specific reaction of the artemia patients and screening information of free DNA are input.
2. A method of computer-aided development of a echinococcosis diagnostic kit according to claim 1, wherein: in the first step, the host patient infected by the bag worm needs to be further classified according to sex, age and physical health condition, and the sex, age and physical health condition are sub-classified in the second classification.
3. A method of computer-aided development of a echinococcosis diagnostic kit according to claim 1, wherein: and the query result of the diagnosis coordinate system in the cloud information base is a range value, and the coordinate point of the screening information and the diagnosis kit used by the host patient is positioned at the central part of the range value.
4. A method of computer-assisted development of a echinococcosis diagnostic kit according to claim 3, wherein: the range values include 3 x 3, 5 x 5 or the remaining odd multiplications, and the range values are specifically adjusted by the computer.
5. A method of computer-aided development of a echinococcosis diagnostic kit according to claim 1, wherein: the information uploaded in the step seven comprises the infection source, infection symptoms, physical information of the patient, the adopted echinococcosis kit and diagnosis results of the patient.
6. The method for computer-aided development of a echinococcosis diagnostic kit according to claim 5, wherein: and step seven, synchronously recording the update time, the update position and the information of the uploading user when the database information is updated in real time.
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