CN104123384A - Method and device for screening pathogenic factors causing food poisoning - Google Patents
Method and device for screening pathogenic factors causing food poisoning Download PDFInfo
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- CN104123384A CN104123384A CN201410380808.7A CN201410380808A CN104123384A CN 104123384 A CN104123384 A CN 104123384A CN 201410380808 A CN201410380808 A CN 201410380808A CN 104123384 A CN104123384 A CN 104123384A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2455—Query execution
- G06F16/24564—Applying rules; Deductive queries
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/242—Query formulation
- G06F16/2428—Query predicate definition using graphical user interfaces, including menus and forms
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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
Abstract
The invention provides a method and device for screening pathogenic factors causing food poisoning. The method includes the steps that a clinical symptom database and an epidemic survey table containing corresponding clinical symptoms are built in a mode of uniformly standardizing clinical symptom terms; a pathogenic factor clinical symptom spectrum database formed by combining different clinical symptoms is built; the clinical symptom of a food poisoning object is determined based on the epidemic survey table; an intelligent food poisoning pathogenic factor analysis system is constructed through a discrimination model facing predictions directly, and the determined clinical symptoms and the symptom spectrums of the pathogenic factors in the pathogenic factor clinical symptom spectrum database are compared and screened through the intelligent analysis system, and a suspicious pathogenic factor ordered list is obtained. According to the method and device for screening pathogenic factors causing food poisoning, the screened suspicious pathogenic factor ordered list has high reference value for site epidemic survey working staff to conduct deeper investigation and disposition, and great help is offered to determination of laboratory detection direction as well.
Description
Technical field
The present invention relates to data processing field, in particular to a kind of screening technique and device that causes the virulence factor of food poisoning.
Background technology
At present, the information backup system of relevant food poisoning mainly contains two classes, and a class is resource-type system, is about to the relevant information summarizing of the poisoning virulence factor of various kinds of foods, is made into query formulation database; One class is intellectual analysis type system, and the information exchange that is about to obtain in epidemiology survey is crossed after input block input system, by an intelligent analysis module analysis result and feed back the relevant information of virulence factor.
In above-mentioned two type systematics, resource-type system is a kind of data bank, do not have intellectual analysis function, and the virulence factor intelligent screening technical scheme that intellectual analysis type system is mentioned at present mainly contains following two kinds of modes: (1) retrieval judgement formula, be about to various virulence factors and clinical symptoms thereof and make database on backstage, after input symptom, from the result of feedback, by manpower comparing, judge; (2) intellectual analysis formula, by setting up mathematical model, by feedback result after the information processing of input.
Real-time and the efficiency of retrieval judgement formula scheme are lower, affected by operator personal experience larger, for food poisoning situ flow mediator person, help little.And existing intellectual analysis formula scheme is mainly to build intelligent decision model by Bayesian model, Bayesian model is a kind of generation model, the data message that not only needs early stage, also need the information such as decision maker's experience and judgement, and objective factor and subjective factor are combined, to sample data statistical quality require high, and at present a lot of basic units food poisoning epidemiology survey process lack of standardization, the sample information providing is imperfect, the statistical information amount obtaining is nowhere near, therefore when building the judgment models of food poisoning virulence factor, be difficult to obtain a desirable parameter, its range of application is very restricted, in the intellectual analysis of food poisoning virulence factor examination, there is not yet successful application at present.
For above-mentioned intellectual analysis type system, at the screening mode of food poisoning virulence factor, cannot meet the problem of actual needs, not yet propose at present effective solution.
Summary of the invention
The object of the present invention is to provide a kind of screening technique and device that causes the virulence factor of food poisoning, to solve the above problems.
A kind of screening technique that causes the virulence factor of food poisoning is provided in an embodiment of the present invention, has comprised: by the mode of unified standard clinical symptoms term, set up the database of clinical symptoms and containing the stream mileometer adjustment of corresponding clinical symptoms; The virulence factor clinical symptoms spectrum database that foundation is combined by different clinical symptoms; Based on stream, the clinical symptoms of food poisoning object is determined in mileometer adjustment; Adopt the intelligent analysis system that directly builds food poisoning virulence factor in the face of the discrimination model of prediction, application intelligent analysis system contrasts screening by the Symptom Spectrum of the virulence factor in definite clinical symptoms and virulence factor clinical symptoms spectrum database, obtains suspicious virulence factor sorted lists.
Above-mentioned application intelligent analysis system contrasts screening by the Symptom Spectrum of the virulence factor in definite clinical symptoms and virulence factor clinical symptoms spectrum database, obtaining suspicious virulence factor sorted lists comprises: for individual stream mileometer adjustment, according to clinical symptoms and virulence factor clinical symptoms, compose Symptom Spectrum contrast corresponding to each virulence factor in database, obtain parameter symptom and meet ratio; According to parameter symptom, meet each virulence factor of comparison and carry out primary screening sequence, after meeting the flexible strategy summation of symptom, relatively calculate with the total flexible strategy of virulence factor symptom, acquisition meets symptom flexible strategy ratio; According to the virulence factor meeting after the sequence of symptom flexible strategy comparison primary screening, carry out postsearch screening sequence, obtain suspicious virulence factor sorted lists.
Above-mentioned application intelligent analysis system contrasts screening by the Symptom Spectrum of the virulence factor in definite clinical symptoms and virulence factor clinical symptoms spectrum database, obtaining suspicious virulence factor sorted lists comprises: for multiple stream mileometer adjustments, clinical symptoms in multiple stream mileometer adjustments is carried out to statistical treatment, the clinical symptoms after being added up; Clinical symptoms after statistics and virulence factor clinical symptoms are composed to Symptom Spectrum contrast corresponding to each virulence factor in database, obtain parameter classical symptom and meet ratio; According to parameter classical symptom, meet each virulence factor of comparison and carry out primary screening sequence; Clinical symptoms according to statistics after to statistics is carried out flexible strategy setting, after meeting the flexible strategy summation of symptom, compares calculating with the total flexible strategy of virulence factor symptom, and acquisition meets symptom flexible strategy ratio; According to the virulence factor meeting after the sequence of symptom flexible strategy comparison primary screening, carry out postsearch screening sequence, obtain suspicious virulence factor sorted lists.
The flexible strategy of above-mentioned different clinical symptoms are to set according to the different classes of of clinical symptoms, and wherein, the classification of clinical symptoms comprises: conventional symptom, classical symptom and characteristic symptom.
Above-mentioned stream mileometer adjustment comprises: abdominal symptoms, feel sick degree, heating paresthesia, headache symptom, subjective sensation, eye symptom, lip symptom, skin and limbs symptom.
A kind of screening plant that causes the virulence factor of food poisoning is also provided in an embodiment of the present invention, comprise: module is set up in stream mileometer adjustment, for setting up the database of clinical symptoms by the mode of unified standard clinical symptoms term and containing the stream mileometer adjustment of corresponding clinical symptoms; Module is set up in Symptom Spectrum storehouse, for setting up the virulence factor clinical symptoms spectrum database being combined by different clinical symptoms; Clinical symptoms determination module, for the clinical symptoms based on the definite food poisoning of stream mileometer adjustment object; Screening module, for adopting the intelligent analysis system that directly builds food poisoning virulence factor in the face of the discrimination model of prediction, application intelligent analysis system contrasts screening by the Symptom Spectrum of the virulence factor in definite clinical symptoms and virulence factor clinical symptoms spectrum database, obtains suspicious virulence factor sorted lists.
Above-mentioned screening module comprises: parameter symptom meets than acquiring unit, for for individual stream mileometer adjustment, according to clinical symptoms and virulence factor clinical symptoms, composes Symptom Spectrum contrast corresponding to each virulence factor in database, obtains parameter symptom and meets ratio; Primary screening sequencing unit, carries out primary screening sequence for meet each virulence factor of comparison according to parameter symptom, after meeting the flexible strategy summation of symptom, relatively calculates with the total flexible strategy of virulence factor symptom, and acquisition meets symptom flexible strategy ratio; Postsearch screening sequencing unit, for carrying out postsearch screening sequence according to the virulence factor meeting after the sequence of symptom flexible strategy comparison primary screening, obtains suspicious virulence factor sorted lists.
Above-mentioned screening module comprises: statistic unit, for for multiple stream mileometer adjustments, carries out statistical treatment, the clinical symptoms after being added up by the clinical symptoms in multiple stream mileometer adjustments; Parameter classical symptom meets than acquiring unit, for by the Symptom Spectrum contrast corresponding with each virulence factor of virulence factor clinical symptoms spectrum database of the clinical symptoms after statistics, obtains parameter classical symptom and meets ratio; The first screening unit, carries out primary screening sequence for meet each virulence factor of comparison according to parameter classical symptom; Meet symptom flexible strategy than acquiring unit, for according to statistics the clinical symptoms after to statistics carry out flexible strategy setting, after meeting the flexible strategy summation of symptom, compare calculating with the total flexible strategy of virulence factor symptom, acquisition meets symptom flexible strategy ratio; The second screening unit, for carrying out postsearch screening sequence according to the virulence factor meeting after the sequence of symptom flexible strategy comparison primary screening, obtains suspicious virulence factor sorted lists.
Above-mentioned clinical symptoms determination module comprises: collecting unit, for gather the clinical symptoms of food poisoning object from stream mileometer adjustment, stream mileometer adjustment comprises: abdominal symptoms, feel sick degree, heating paresthesia, headache symptom, subjective sensation, eye symptom, lip symptom, skin and limbs symptom.
The method and apparatus that the embodiment of the present invention provides, by first determining the clinical symptoms of current poisoning object, according to this clinical symptoms and corresponding virulence factor Symptom Spectrum database comparison, thereby obtains the sorted lists of suspicious virulence factor.This suspicious virulence factor sorted lists adjusts staff to carry out more deep investigation and locate to be equipped with very high reference value to situ flow, simultaneously to laboratory detection side to confirmation be also very helpful.
Accompanying drawing explanation
Fig. 1 shows the screening technique process flow diagram of the virulence factor that causes food poisoning that the embodiment of the present invention provides;
Fig. 2 shows the screening technique schematic diagram of the virulence factor that causes food poisoning that the embodiment of the present invention provides;
Fig. 3 shows the screening plant structured flowchart of the virulence factor that causes food poisoning that the embodiment of the present invention provides.
Embodiment
Below by specific embodiment, also by reference to the accompanying drawings the present invention is described in further detail.
Food poisoning is one of outstanding public health problem of China, for controlling in time and eliminate food poisoning and harm thereof, make that epidemiology survey personnel obtain scene carry out for information about fast finishing and judgement time have a resourceful information backup system, make preliminary judgement, and can set up an interface of linking up fast between a field investigation and food poisoning testing laboratory, make basic unit's food poisoning testing laboratory utilize as far as possible existing experiment condition, actively develop work, allow the testing can be orderly, operation efficiently, for decision maker provides valuable information, within the shortest time, determine reason and the hazards of food poisoning, the embodiment of the present invention provides a kind of screening technique and device that causes the virulence factor of food poisoning.
The screening technique process flow diagram of the shown in Figure 1 virulence factor that causes food poisoning, the method comprises the following steps:
Step S102, sets up the database of clinical symptoms and containing the stream mileometer adjustment of corresponding clinical symptoms by the mode of unified standard clinical symptoms term.
Step S104, sets up the virulence factor clinical symptoms spectrum database being combined by different clinical symptoms.Wherein, the symptom that every kind of virulence factor that the Symptom Spectrum of the virulence factor in this database refers to prestore can cause gathers, such as: a certain virulence factor can cause fever, headache, vomiting, tic of limbs etc., and these symptoms are associated with this virulence factor, and is kept in database.
Step S106, the clinical symptoms based on the definite food poisoning of above-mentioned stream mileometer adjustment object; Wherein, this food poisoning object may be a people, may be also a plurality of people, i.e. PI.
Step S108, adopt the intelligent analysis system that directly builds food poisoning virulence factor in the face of the discrimination model of prediction, apply this intelligent analysis system the Symptom Spectrum of the virulence factor in definite clinical symptoms and virulence factor clinical symptoms spectrum database is contrasted to screening, obtain suspicious virulence factor sorted lists.
Said method is by first determining the clinical symptoms of current poisoning object, according to this clinical symptoms and corresponding virulence factor Symptom Spectrum database comparison, thereby obtains the sorted lists of suspicious virulence factor.This suspicious virulence factor sorted lists adjusts staff to carry out more deep investigation and locate to be equipped with very high reference value to situ flow, simultaneously to laboratory detection side to confirmation be also very helpful.
In above-mentioned steps S108 the screening process of the suspicious factor can have multiple, for example: for individual stream mileometer adjustment, the Symptom Spectrum contrast corresponding according to each virulence factor in clinical symptoms and virulence factor clinical symptoms spectrum database, acquisition parameter symptom meets ratio; According to parameter symptom, meet each virulence factor of comparison and carry out primary screening sequence, after meeting the flexible strategy summation of symptom, relatively calculate with the total flexible strategy of virulence factor symptom, acquisition meets symptom flexible strategy ratio; According to meeting the virulence factor that symptom flexible strategy compare after the sequence of above-mentioned primary screening, carry out postsearch screening sequence again, obtain suspicious virulence factor sorted lists.
Wherein, parameter symptom meets than referring to that current symptom accounts for the Symptomatic proportion of a certain virulence factor in virulence factor clinical symptoms spectrum database, for example: current patient's symptom has 4 kinds, and database comprises that all symptoms of a certain virulence factor of these 4 kinds of symptoms are 8 kinds, parameter symptom that should virulence factor is met than being 50%.
The flexible strategy of above-mentioned each symptom (also claiming to meet flexible strategy) are predefined values, can set according to the type of clinical symptoms.Wherein, the type of clinical symptoms comprises: conventional symptom, classical symptom and characteristic symptom.When specific implementation, can set flexible strategy corresponding to flexible strategy < characteristic symptom that flexible strategy < classical symptom corresponding to conventional symptom is corresponding.
The screening technique of above-mentioned individual stream mileometer adjustment utilize symptom meet than with meet flexible strategy than primary dcreening operation and the scalping of carrying out suspicious virulence factor, give field personnel with the fastest information feedback.
For multiple stream mileometer adjustments, can adopt following manner screening: the clinical symptoms in multiple stream mileometer adjustments is carried out to statistical treatment, the clinical symptoms after being added up; Clinical symptoms after statistics and virulence factor clinical symptoms are composed to Symptom Spectrum contrast corresponding to each virulence factor in database, obtain parameter classical symptom and meet ratio; According to described parameter classical symptom, meet each virulence factor of comparison and carry out primary screening sequence; Clinical symptoms according to statistics after to statistics is carried out flexible strategy setting, after meeting the flexible strategy summation of symptom, compares calculating with the total flexible strategy of virulence factor symptom, and acquisition meets symptom flexible strategy ratio; According to the described virulence factor meeting after the sequence of symptom flexible strategy comparison primary screening, carry out postsearch screening sequence, obtain suspicious virulence factor sorted lists.
When food poisoning object is a plurality of people, everyone clinical symptoms in statistics food poisoning object; Proportion in the clinical symptoms counting is surpassed to the clinical symptoms of setting value as the clinical symptoms of food poisoning object.
In the screening process of above-mentioned multiple stream mileometer adjustments, the clinical symptoms that sick of pop inquiry agency obtains in stream mileometer adjustment is carried out statistical study, according to statistic analysis result, to clinical symptoms assignment weight, calculate the symptom corresponding with each virulence factor meet than with meet flexible strategy ratio; By symptom meet than primary screening and the postsearch screening that the meets flexible strategy ratio sorted lists that obtains suspicious virulence factor.All stream mileometer adjustments that this mode utilizes Field epidemiology inquiry agency to obtain, count the incidence of each clinical symptoms, according to symptom incidence, set the weight of corresponding conventional clinical symptoms, calculate and meet flexible strategy ratio simultaneously, carry out the postsearch screening of suspicious virulence factor, obtain the suspicious virulence factor sorted lists that has more reference value.
In order to make the above-mentioned final suspicious virulence factor filtering out more accurate, above-mentioned stream mileometer adjustment comprises: abdominal symptoms, feel sick degree, heating paresthesia, headache symptom, subjective sensation, eye symptom, lip symptom, skin and limbs symptom.For example: stream mileometer adjustment as shown in table 1.
Table 1
Food security accident is accidental, and situ flow mediator person's experience is often not enough, by above-mentioned stream mileometer adjustment meeting, makes stream adjust a lot of valuable clinical symptoms information of personnel record, has promoted the reliability of intelligent system the selection result.
Above-mentioned stream mileometer adjustment summarizing goes out 52 clinical symptoms, is divided into routine, subjectivity, and eye, five classifications of lip and whole body, can obtain how valuable clinical symptoms information.
The food poisoning causing for each virulence factor, capital shows corresponding clinical symptoms, these different clinical symptoms are different to the meaning of each virulence factor, therefore the present embodiment is established the clinical symptoms spectrum of every kind of virulence factor in above-mentioned database, for the suspicious virulence factor of follow-up screening lays the first stone.
Rule of thumb, can arrange out the Symptoms of various food poisoning virulence factors, in conjunction with 52 clinical symptoms in stream mileometer adjustment, carry out different combinations, form the Symptom Spectrum of each virulence factor, and set up above-mentioned database.
Consider that same clinical symptoms is different to different virulence factor meanings, some symptoms all can occur as a rule, some is the difference due to individual physique, appearance once in a while, therefore to the value of the differentiation of virulence factor, be different, in addition, the food poisoning patient that some symptom only causes at some virulence factor occurs, this symptom has typical meaning to virulence factor, and occur in the food poisoning that some symptom only causes at one or two kind of virulence factor, this class symptom has just more had Special Significance, Given this, set up a set of flexible strategy and set rule, and according to this to each symptom in each virulence factor Symptom Spectrum carried out symptom meet than with meet flexible strategy than setting.Below, providing the screening technique schematic diagram of the virulence factor that causes food poisoning shown in Fig. 2, the method comprises the steps:
The on-the-spot input of stream mileometer adjustment, for the situation of individual table typing, first screening plant carries out Symptom Spectrum comparative analysis in conjunction with the symptom in database convection current mileometer adjustment; Then incorporating parametric symptom meet than with meet flexible strategy ratio and filter out suspicious virulence factor sorted lists;
For the situation of multiple table typings, screening plant carries out statistical study to the symptom of typing, determines patient's symptom; Then in conjunction with database, definite symptom is carried out to Symptom Spectrum comparative analysis; Then incorporating parametric classical symptom meets than (symptom that represents symptom that statistics is determined meets ratio) and meets flexible strategy ratio and filters out suspicious virulence factor sorted lists.
Corresponding to said method, the embodiment of the present invention also provides a kind of screening plant that causes the virulence factor of food poisoning, and referring to Fig. 3, this device comprises:
Module 32 is set up in stream mileometer adjustment, for setting up the database of clinical symptoms by the mode of unified standard clinical symptoms term and containing the stream mileometer adjustment of corresponding clinical symptoms;
Module 34 is set up in Symptom Spectrum storehouse, for setting up the virulence factor clinical symptoms spectrum database being combined by different clinical symptoms;
Clinical symptoms determination module 36, for determining the clinical symptoms of food poisoning object in stream mileometer adjustment;
Screening module 38, for adopting the intelligent analysis system that directly builds food poisoning virulence factor in the face of the discrimination model of prediction, application intelligent analysis system contrasts screening by the Symptom Spectrum of the virulence factor in definite clinical symptoms and virulence factor clinical symptoms spectrum database, obtains suspicious virulence factor sorted lists.
This device is by first determining the clinical symptoms of current poisoning object, according to this clinical symptoms and corresponding virulence factor Symptom Spectrum database comparison, thereby obtains the sorted lists of suspicious virulence factor.This suspicious virulence factor sorted lists adjusts staff to carry out more deep investigation and locate to be equipped with very high reference value to situ flow, simultaneously to laboratory detection side to confirmation be also very helpful.
Corresponding to above-mentioned individual stream mileometer adjustment screening process, above-mentioned screening module 38 comprises with lower unit:
Parameter symptom meets than acquiring unit, for for individual stream mileometer adjustment, according to clinical symptoms and virulence factor clinical symptoms, composes Symptom Spectrum contrast corresponding to each virulence factor in database, obtains parameter symptom and meets ratio;
Primary screening sequencing unit, carries out primary screening sequence for meet each virulence factor of comparison according to parameter symptom, after meeting the flexible strategy summation of symptom, relatively calculates with the total flexible strategy of virulence factor symptom, and acquisition meets symptom flexible strategy ratio;
Postsearch screening sequencing unit, for carrying out postsearch screening sequence according to the virulence factor meeting after the sequence of symptom flexible strategy comparison primary screening, obtains suspicious virulence factor sorted lists.
Corresponding to above-mentioned multiple stream mileometer adjustment screening processes, above-mentioned screening module 38 comprises with lower unit:
Statistic unit, for for multiple stream mileometer adjustments, carries out statistical treatment, the clinical symptoms after being added up by the clinical symptoms in multiple stream mileometer adjustments;
Parameter classical symptom meets than acquiring unit, for by the Symptom Spectrum contrast corresponding with each virulence factor of virulence factor clinical symptoms spectrum database of the clinical symptoms after statistics, obtains parameter classical symptom and meets ratio;
The first screening unit, carries out primary screening sequence for meet each virulence factor of comparison according to parameter classical symptom;
Meet symptom flexible strategy than acquiring unit, for according to statistics the clinical symptoms after to statistics carry out flexible strategy setting, after meeting the flexible strategy summation of symptom, compare calculating with the total flexible strategy of virulence factor symptom, acquisition meets symptom flexible strategy ratio;
The second screening unit, for carrying out postsearch screening sequence according to the virulence factor meeting after the sequence of symptom flexible strategy comparison primary screening, obtains suspicious virulence factor sorted lists.
Above-mentioned clinical symptoms determination module 36 also comprises: collecting unit, for gather the clinical symptoms of food poisoning object from stream mileometer adjustment, stream mileometer adjustment comprises: abdominal symptoms, feel sick degree, heating paresthesia, headache symptom, subjective sensation, eye symptom, lip symptom, skin and limbs symptom.Example as shown in Table 1 above.
Application said method and device, can set up a resource information system relevant to food poisoning, pass through Software for Design, Field epidemiology investigator can be raised wages after material in real-time input situ flow, obtain in real time the information feedback of this system, obtain the preliminary screening of suspicious virulence factor, auxiliary Field epidemiology investigator makes valuable judgement, the information of relevant suspicious virulence factor is imported in real time into the detection section office at rear simultaneously, be convenient to laboratory and launch as soon as possible the preparation of relevant testing, testing laboratory also can utilize this resource system, find quickly and easily related objective quality testing to survey required various information, determine the testing process of this suspicious object thing, each laboratories can be set up the operating system that is applicable to each self-application according to this open framing program, this system can also constantly be revised, supplementary and perfect, to improve efficiency and the quality of the investigation of food poisoning Field epidemiology, promote the emergency disposal ability of food poisoning testing laboratory.
Above embodiment is according to the relation property between virulence factor and clinical symptoms, adopt the intelligent screening system that directly builds food poisoning virulence factor in the face of the discriminant approach of prediction, succinctly, obtain efficiently suspicious virulence factor, the follow-up relief of ancillary staff patient.
Obviously, those skilled in the art should be understood that, above-mentioned each module of the present invention or each step can realize with general calculation element, they can concentrate on single calculation element, or be distributed on the network that a plurality of calculation elements form, alternatively, they can be realized with the executable program code of calculation element, thereby, they can be stored in memory storage and be carried out by calculation element, or they are made into respectively to each integrated circuit modules, or a plurality of modules in them or step are made into single integrated circuit module to be realized.Like this, the present invention is not restricted to any specific hardware and software combination.
The foregoing is only the preferred embodiments of the present invention, be not limited to the present invention, for a person skilled in the art, the present invention can have various modifications and variations.Within the spirit and principles in the present invention all, any modification of doing, be equal to replacement, improvement etc., within all should being included in protection scope of the present invention.
Claims (9)
1. a screening technique that causes the virulence factor of food poisoning, is characterized in that, comprising:
By the mode of unified standard clinical symptoms term, set up the database of clinical symptoms and containing the stream mileometer adjustment of corresponding clinical symptoms;
The virulence factor clinical symptoms spectrum database that foundation is combined by different clinical symptoms;
Based on described stream mileometer adjustment, determine the clinical symptoms of food poisoning object;
Adopt the intelligent analysis system that directly builds food poisoning virulence factor in the face of the discrimination model of prediction, apply described intelligent analysis system the Symptom Spectrum of the virulence factor in the described clinical symptoms of determining and virulence factor clinical symptoms spectrum database is contrasted to screening, obtain suspicious virulence factor sorted lists.
2. method according to claim 1, it is characterized in that, apply described intelligent analysis system the Symptom Spectrum of the virulence factor in the described clinical symptoms of determining and virulence factor clinical symptoms spectrum database contrasted to screening, obtain suspicious virulence factor sorted lists and comprise:
For individual stream mileometer adjustment, according to described clinical symptoms and virulence factor clinical symptoms, compose Symptom Spectrum contrast corresponding to each virulence factor in database, obtain parameter symptom and meet ratio;
According to described parameter symptom, meet each virulence factor of comparison and carry out primary screening sequence, after meeting the flexible strategy summation of symptom, relatively calculate with the total flexible strategy of virulence factor symptom, acquisition meets symptom flexible strategy ratio;
According to the described virulence factor meeting after the sequence of symptom flexible strategy comparison primary screening, carry out postsearch screening sequence, obtain suspicious virulence factor sorted lists.
3. method according to claim 1, it is characterized in that, apply described intelligent analysis system the Symptom Spectrum of the virulence factor in the described clinical symptoms of determining and virulence factor clinical symptoms spectrum database contrasted to screening, obtain suspicious virulence factor sorted lists and comprise:
For multiple stream mileometer adjustments, the clinical symptoms in multiple stream mileometer adjustments is carried out to statistical treatment, the clinical symptoms after being added up;
Clinical symptoms after statistics and virulence factor clinical symptoms are composed to Symptom Spectrum contrast corresponding to each virulence factor in database, obtain parameter classical symptom and meet ratio;
According to described parameter classical symptom, meet each virulence factor of comparison and carry out primary screening sequence;
Clinical symptoms according to statistics after to statistics is carried out flexible strategy setting, after meeting the flexible strategy summation of symptom, compares calculating with the total flexible strategy of virulence factor symptom, and acquisition meets symptom flexible strategy ratio;
According to the described virulence factor meeting after the sequence of symptom flexible strategy comparison primary screening, carry out postsearch screening sequence, obtain suspicious virulence factor sorted lists.
4. method according to claim 2, is characterized in that, the flexible strategy of different clinical symptoms are to set according to the different classes of of clinical symptoms, and wherein, the classification of described clinical symptoms comprises: conventional symptom, classical symptom and characteristic symptom.
5. method according to claim 1, described stream mileometer adjustment comprises: abdominal symptoms, feel sick degree, heating paresthesia, headache symptom, subjective sensation, eye symptom, lip symptom, skin and limbs symptom.
6. a screening plant that causes the virulence factor of food poisoning, is characterized in that, comprising:
Module is set up in stream mileometer adjustment, for setting up the database of clinical symptoms by the mode of unified standard clinical symptoms term and containing the stream mileometer adjustment of corresponding clinical symptoms;
Module is set up in Symptom Spectrum storehouse, for setting up the virulence factor clinical symptoms spectrum database being combined by different clinical symptoms;
Clinical symptoms determination module, for determining the clinical symptoms of food poisoning object based on described stream mileometer adjustment;
Screening module, for adopting the intelligent analysis system that directly builds food poisoning virulence factor in the face of the discrimination model of prediction, apply described intelligent analysis system the Symptom Spectrum of the virulence factor in the described clinical symptoms of determining and virulence factor clinical symptoms spectrum database is contrasted to screening, obtain suspicious virulence factor sorted lists.
7. device according to claim 6, is characterized in that, described screening module comprises:
Parameter symptom meets than acquiring unit, for for individual stream mileometer adjustment, according to described clinical symptoms and virulence factor clinical symptoms, composes Symptom Spectrum contrast corresponding to each virulence factor in database, obtains parameter symptom and meets ratio;
Primary screening sequencing unit, carries out primary screening sequence for meet each virulence factor of comparison according to described parameter symptom, after meeting the flexible strategy summation of symptom, relatively calculates with the total flexible strategy of virulence factor symptom, and acquisition meets symptom flexible strategy ratio;
Postsearch screening sequencing unit, carries out postsearch screening sequence for the virulence factor meeting described in basis after the sequence of symptom flexible strategy comparison primary screening, obtains suspicious virulence factor sorted lists.
8. device according to claim 6, is characterized in that, described screening module comprises:
Statistic unit, for for multiple stream mileometer adjustments, carries out statistical treatment, the clinical symptoms after being added up by the clinical symptoms in multiple stream mileometer adjustments;
Parameter classical symptom meets than acquiring unit, for by the Symptom Spectrum contrast corresponding with each virulence factor of virulence factor clinical symptoms spectrum database of the clinical symptoms after statistics, obtains parameter classical symptom and meets ratio;
The first screening unit, carries out primary screening sequence for meet each virulence factor of comparison according to described parameter classical symptom;
Meet symptom flexible strategy than acquiring unit, for according to statistics the clinical symptoms after to statistics carry out flexible strategy setting, after meeting the flexible strategy summation of symptom, compare calculating with the total flexible strategy of virulence factor symptom, acquisition meets symptom flexible strategy ratio;
The second screening unit, carries out postsearch screening sequence for the virulence factor meeting described in basis after the sequence of symptom flexible strategy comparison primary screening, obtains suspicious virulence factor sorted lists.
9. device according to claim 6, described clinical symptoms determination module comprises:
Collecting unit, for gather the clinical symptoms of food poisoning object from stream mileometer adjustment, described stream mileometer adjustment comprises: abdominal symptoms, feel sick degree, heating paresthesia, headache symptom, subjective sensation, eye symptom, lip symptom, skin and limbs symptom.
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| CN108447561A (en) * | 2018-03-12 | 2018-08-24 | 田疆 | The method and system for the on-site quick screening and diagnosis of poisoning by food |
| CN112216400A (en) * | 2020-10-10 | 2021-01-12 | 黑龙江省疾病预防控制中心 | Method and system for predicting food-borne disease pathogenic factors based on big data |
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