CN101744660A - System and method for diagnosing chicken diseases - Google Patents
System and method for diagnosing chicken diseases Download PDFInfo
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- CN101744660A CN101744660A CN200810239520A CN200810239520A CN101744660A CN 101744660 A CN101744660 A CN 101744660A CN 200810239520 A CN200810239520 A CN 200810239520A CN 200810239520 A CN200810239520 A CN 200810239520A CN 101744660 A CN101744660 A CN 101744660A
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Abstract
The invention relates to a system and a method for diagnosing chicken diseases, belonging to the field of information processing technology. The system mainly comprises a diagnostic data storing device, a certainty factor acquiring device and a diagnostic device. The diagnostic device comprises a multi-symptom portfolio diagnostic unit, a main symptom diagnostic unit and a suspicious disease name diagnostic unit. The system also comprises an auxiliary data storing device, a medical record management storing device and a system management device. The diagnostic system features simple and convenient use, high diagnostic accuracy, rapid speed, diversified methods and powerful auxiliary functions. The diagnostic system features wide application range, is suitable for various chicken farms, veterinarian diagnosis and treatment departments and feed mills, veterinary medicine factories, feed and veterinary medicine dealers for after-sale service. The promotion of the chicken disease system can greatly improve clinical diagnosis level of basic level veterans, generate great social and economic benefits and provide powerful guarantee for animal husbandry production.
Description
Technical field
The invention belongs to information processing technology scope, relate to a kind of fowl disease diagnostic system and method.
Background technology
1992, the sick computer diagnosis specialist system of the common mass-sending of chicken came out.Nineteen ninety-five, Lu Changhua etc. develop " chicken common disease computer clinical diagnosis specialist system ", can assist newcastle disease, horse Garrick, Fa Shi, main chicken infectious disease such as bronchitis, larynx bronchitis, septico-mycoplasma disease, Nutrition and Metabolism disease and parasitic disease make clinical diagnosis, system also can carry out the fowl disease diagnosis for the animal and veterinary station applicable to large, medium and small type mechanization, intensification chicken farm.The fowl disease diagnostic expert system has had 5 to 6 kinds of products in China, has obtained applications well in the chicken farm of individual information condition, the peasant household but the bigger rural area middle and small scale of the ratio that is not generalized to is raised chickens.According to estimates, China's rural area middle and small scale about 600,000 families of peasant household of raising chickens, only 8,000,000,000 of annual commercialization raising chickens (laying hen, father and mother are for kind of a chicken, broiler) approximately always account for about 76% of the total number of animals raised in the whole nation.In time disposing after annual, disease improper because of chicken group health control takes place brings nearly 2,000,000,000 yuan direct economic loss for these raisers.It is problems such as the convenience of existing fowl disease specialist system is not enough, and function is not strong, and accuracy rate of diagnosis is not high that the fowl disease specialist system fails to promote the main cause open in these peasant households of raising chickens.So when exploitation fowl disease expert, will pay attention to the convenient and practical property of system on the one hand, improve accuracy rate of diagnosis, also to pay attention to moving the convenience of terminal on the other hand.
Summary of the invention
The invention provides a kind of fowl disease diagnostic system and method, not enough to overcome in the prior art convenience, function is not strong, the defective that accuracy rate of diagnosis is not high.
A kind of fowl disease diagnostic system of the present invention comprises: the diagnostic data storage device is used to store fowl disease name of disease and corresponding symptom; The credibility deriving means is used for the symptom according to fowl disease, adopts analytic hierarchy process (AHP) that the probability of happening of fowl disease symptom is carried out fuzzy comprehensive evoluation and cluster analysis, and obtains the credibility of fowl disease according to the probability of happening of symptom; The diagnostic equipment is used for the observed symptom according to the user, with name of disease, the symptom of the fowl disease of described diagnostic data memory device stores and the credibility of obtaining, fowl disease is diagnosed.
Wherein, the described diagnostic equipment comprises: many symptoms combined diagnosis unit, be used for a series of symptoms according to corresponding sick group and the observed sick chicken of user, and diagnose out the name of disease and the incidence rate of fowl disease; The cardinal symptom diagnosis unit is used for cardinal symptom and at least one related symptoms according to corresponding sick group, the observed sick chicken of user, diagnoses out the name of disease and the incidence rate of fowl disease; Suspect the name of disease diagnosis unit, be used for suspecting the symptom of name of disease and the observed sick chicken of user, diagnose out the name of disease and the incidence rate of fowl disease according to corresponding fowl disease classification, user.
Wherein, described sick group comprises: common easy symptom group, head and neck symptom group, hat whisker symptom group, eye symptom group, skin feather symptom group, the Respiratory symptoms group, gastrointestinal symptom group, neuromotor system symptom group, subcutaneous, muscle changes symptom group, liver,spleen,kidney pathological changes symptom group, stomach, enteropathy become the symptom group, the heart, brain, symptoms of neuropathy group, skeleton, bone marrow lesion symptom group, fabricius bursa, fallopian tube pathological changes symptom group, other pathological changes symptom groups of lung, trachea pathological changes symptom group and dissection.
Wherein, described fowl disease classification comprises: viral infectious, bacterial infectious disease, parasitic disease, toxonosis, malnutrition and metabolic disease.
Wherein, described system also comprises the auxiliary data storage device, is used to store the data of fowl disease details, symptom collection of illustrative plates, veterinary drug knowledge and/or fowl disease video.
Wherein, described system also comprises: the medical record management device is used for newly-built case history, revises case history, inquires about case history, prints case history, deletes case history; System management facility is used for user management, password modification and disease information and safeguards.
The present invention also provides a kind of fowl disease diagnostic method, it is characterized in that, said method comprising the steps of: obtain the observed symptom of user; Obtain the credibility of fowl disease according to the probability of happening of symptom; According to name of disease, symptom and the credibility of fowl disease, diagnose out the name of disease and the incidence rate of fowl disease.
Wherein, described probability of happening according to symptom obtains the step of the credibility of fowl disease, specifically comprises: adopt analytic hierarchy process (AHP) that the symptom probability of happening is carried out cluster; According to fuzzy set theory the probability that symptom takes place is divided into several Making by Probability Sets; According to formula
Wherein, Di be fowl disease i credibility and value; M is the fowl disease symptom; K is all cardinal symptom numbers of enumerating of fowl disease; CF is the credibility of fowl disease symptom m to fowl disease i; N is the number of the fowl disease that can diagnose of system.
Wherein, described name of disease according to fowl disease, symptom and credibility are diagnosed out the name of disease of fowl disease and the step of incidence rate, specifically comprise: according to a series of symptoms of corresponding sick group and the observed sick chicken of user, diagnose out the name of disease and the incidence rate of fowl disease; Or, diagnose out the name of disease and the incidence rate of fowl disease according to cardinal symptom and at least one related symptoms of corresponding sick group, the observed sick chicken of user; Or, diagnose out the name of disease and the incidence rate of fowl disease according to the symptom that corresponding fowl disease is classified, the user suspects name of disease and the observed sick chicken of user.
Wherein, described method also comprises medical record management and system management step, and described medical record management step specifically comprises newly-built case history, modification case history, inquiry case history, prints the step of case history, deletion case history; Described system management step specifically comprises user management, the step that password is revised and disease information is safeguarded.
Compared with prior art, technical scheme of the present invention has following advantage:
The accuracy rate of diagnosis height of this diagnostic system, speed is fast, and through a large amount of case history checkings, accuracy rate of diagnosis is up to more than 95%.Have very strong science, advance and practicality; In addition, diagnostic method of the present invention is various, and three kinds of diagnosis schemes of system design are selected: many symptoms combined diagnosis method, according to the cardinal symptom method of diagnosis with according to suspecting the name of disease method of diagnosis, and the user can select for use flexibly according to own situation; Further, miscellaneous function of the present invention is powerful, and aid comprises disease details, symptom collection of illustrative plates, veterinary drug knowledge and four parts of fowl disease video.The unit version also has medical record management and system management function.
Description of drawings
Fig. 1 is the structure chart of a kind of fowl disease diagnostic system of the present invention;
Fig. 2 is the flow chart of a kind of fowl disease diagnostic method of the present invention.
The specific embodiment
Below in conjunction with drawings and Examples, the specific embodiment of the present invention is described in further detail.Following examples are used to illustrate the present invention, but are not used for limiting the scope of the invention.
The structure of a kind of fowl disease diagnostic system of the embodiment of the invention comprises the diagnostic equipment 11, credibility deriving means 12, diagnostic data storage device 13, medical record management device 14, system management facility 15 and auxiliary data storage device 16 as shown in Figure 1.
The diagnostic equipment 11 is used for the observed symptom according to the user, with name of disease, the symptom of the fowl disease of described diagnostic data memory device stores and the credibility of obtaining, fowl disease is diagnosed.The diagnostic equipment 11 comprises many symptoms combined diagnosis unit 111, cardinal symptom diagnosis unit 112 and cardinal symptom diagnosis unit 113.Many symptoms combined diagnosis unit 111 is used for a series of symptoms according to corresponding sick group and the observed sick chicken of user, diagnoses out the name of disease and the incidence rate of fowl disease; Cardinal symptom diagnosis unit 112 is used for cardinal symptom and at least one related symptoms according to corresponding sick group, the observed sick chicken of user, diagnoses out the name of disease and the incidence rate of fowl disease; Suspect that name of disease diagnosis unit 113 is used for suspecting according to corresponding fowl disease classification, user the symptom of name of disease and the observed sick chicken of user, diagnoses out the name of disease and the incidence rate of fowl disease.
Wherein, described sick group comprises: common easy symptom group, head and neck symptom group, hat whisker symptom group, eye symptom group, skin feather symptom group, the Respiratory symptoms group, gastrointestinal symptom group, neuromotor system symptom group, subcutaneous, muscle changes symptom group, liver,spleen,kidney pathological changes symptom group, stomach, enteropathy become the symptom group, the heart, brain, symptoms of neuropathy group, skeleton, bone marrow lesion symptom group, fabricius bursa, fallopian tube pathological changes symptom group, other pathological changes symptom groups of lung, trachea pathological changes symptom group and dissection.Described fowl disease classification comprises: viral infectious, bacterial infectious disease, parasitic disease, toxonosis, malnutrition and metabolic disease.
Credibility deriving means 12 is used for the symptom according to fowl disease, adopts analytic hierarchy process (AHP) that the probability of happening of fowl disease symptom is carried out fuzzy comprehensive evoluation and cluster analysis, and obtains the credibility of fowl disease according to the probability of happening of symptom.Below the credibility among the present invention is elaborated:
1. production rule: the basic structure of production comprises prerequisite and conclusion two parts: prerequisite (or IF part) description state, conclusion (or THEN part) are described in some action that is produced under the condition that state exists.Its presentation format is:
If set of circumstances is set up, then conclusion is set up.
Form with character can be expressed as: IF{A}, THEN B
{ A} represents the set of some condition elements, and B represents the conclusion factor.In the condition element set, each condition element can be " with " relation, program is expressed and is gone up the expression with " and ", also can be " or " relation, program is expressed and is gone up the expression with " or ", or the relation of " non-", and program is expressed and gone up the expression with " not ", or all be the combination of their three kinds of relations, for example:
IF?A1and?A2and?A3and...and?An，THEN?B
Expression is worked as A1 and is true time to the An condition, and then B is true;
IFA1orA2orA3or...orAn，THEN?B
It need a condition be true time only in An that A1 is worked as in expression, and then B is true;
IF?notA{n}，THEN?B
Expression is as A1 when condition all is false in An, and then B is true;
Production rule can be represented to be decomposed into causal knowledge well.Animal diseases diagnosis is the solution procedure of a problem, cardinal principle is to determine with the symptom of observed infected animal which kind of disease animal suffers from, relation between symptom and the disease can be expressed as cause effect relation, so can represent animal diseases diagnosis knowledge well with rule-based knowledge representation method.
Method for expressing is: IF symptom THEN disease
For example: when dyspnea appears in sick chicken, can make up following production rule:
IF dyspnea THEN infectious laryngotracheitis;
IF dyspnea THEN newcastle;
IF dyspnea THEN infectious bronchitis;
2. the introducing of credibility:
The quantity of fowl disease diagnostic knowledge is sizable, the symptom of some disease has more than the dozens of, and the situation that a plurality of diseases have common symptoms often appears, this writes the medical diagnosis on disease rule to us and has brought sizable difficulty, the one, regular quantity is quite a lot of, because the individual state of the appearance follower of every kind of disease symptoms, the time of origin of disease and environmental factors different and different, we will realize the normal diagnosis of disease, just need may show with the form of rule to various, relation under the more situation between the generation of symptom and disease exists the permutation and combination problem of symptom, so represent to know relation between disease and the symptom very big difficulty is arranged still, and if finish such work, the quantity of rule will be expected, in addition, the situation that has common symptoms between the disease, make the processing that we can't a step when running into one group of symptom and can be used as the conditions for diagnostics of a plurality of diseases, which bar rule we can't determine enable, we can obtain some hypothesis conclusions according to a rule, the expert can rule of thumb accept or reject the hypothesis conclusion clinically, and specialist system must suppose that conclusion verifies that such proof procedure can reduce the efficient of system greatly to all.
We have carried out certain expansion to rule so, promptly introduce the order that credibility (CF) is come the restrictive rule search and calculated in production rule.The credibility of rule is called certainty factor, rule intensity again, description be the degree of support of rule condition to conclusion, be exactly that the expression symptom is to the support program of disease, the probability of happening of disease when promptly symptom is deposited for the fowl disease diagnostic knowledge.After introducing credibility, production rule can be expressed as:
IF symptom THEN disease CF;
The symptom here is a single symptom, and CF is under the situation that symptom exists, the probability of happening of disease, we just can represent the degree of support of same symptom to various disease in this way, in the following example shown in:
IF dyspnea THEN infectious laryngotracheitis CF1;
IF dyspnea THEN newcastle CF2;
IF dyspnea THEN infectious bronchitis CF3;
The shortcoming of production rule is the ability that shortcoming embodies structure between the knowledge, can only realize linear reasoning process.The introducing of credibility is the expansion to generation rule, and the assignment of credibility is according to being under the symptom situation about existing, the probability of happening of disease, just in the rule condition to the degree of support of conclusion.The introducing of credibility is vital for the reasoning performance and the Reasoning Efficiency of system, but by credibility is limited or the assignment description rule between relation, embody the medical diagnosis on disease knowledge structure, the circumscription reasoning condition, the control inference direction improves Reasoning Efficiency.
3. credit assignment method
Uncertainty and ambiguity in view of the fowl disease diagnostic knowledge, we adopt Fuzzy Set Theory that knowledge is carried out Fuzzy Processing, promptly adopt analytic hierarchy process (AHP) that the probability of happening of fowl disease symptom is carried out fuzzy comprehensive evoluation and cluster analysis, then according to the probability of happening of symptom to credit assignment.
(A) Fuzzy Processing of symptom probability of happening: when disease took place animal, the probability of occurrence of symptom in the morbidity fauna was at the product of 0-1.When certain sick generation, if the probability of occurrence height of symptom in fauna illustrates the degree of support height of this symptom to disease, when this symptom took place, the also corresponding height of pairing disease probability of happening was so can determine confidence value according to the frequency that symptom occurs.
According to analytic hierarchy process (AHP), when the probability of happening of an incident when certain limit changes, the influence of generation or act on constant, so adopt analytic hierarchy process (AHP) that the symptom probability of happening is carried out cluster.According to fuzzy set theory the probability that symptom takes place is divided into several Making by Probability Sets simultaneously, each probability meaning that each Making by Probability Sets comprises is identical with effect, and the division of Making by Probability Sets foundation is from expertise.As shown in table 1:
Table 1
| Making by Probability Sets | The meaning of symptom in the Making by Probability Sets |
| 0 | Absent variable symptom when disease takes place |
| 0-0.3 | In the minority case, occur, but can be separately as diagnosis basis |
| 0.3-0.5 | In the fraction case, occur, have certain diagnostic significance, when lacking the high probability symptom, can be used as diagnosis basis. |
| 0.5-0.9 | Can betide most cases,, can be used as diagnosis basis for showing disease symptoms. |
| 0.9 more than | Can betide most cases, this symptom of decidable is shown disease symptoms for the typical case, can be used as the main foundation of diagnosis. |
According to expertise, the symptom between some symptom 0-0.3 occurs in the minority case, for diagnosis certain reference value is arranged, but can not be separately as diagnosis basis.The symptom that occurrence frequency is between the 0.3-0.5 occurs in the fraction case, has certain diagnostic significance, can be used as diagnosis basis when lacking the high probability symptom.The symptom that occurrence frequency is between the 0.5-0.9 can betide most cases, for showing disease symptoms, can be used as diagnosis basis.The symptom that occurrence frequency is in more than 0.9 can betide most cases, and this symptom of decidable is shown disease symptoms for the typical case, can be used as the main foundation of diagnosis.
Select certain representative probit to represent all probability in each Making by Probability Sets according to analytic hierarchy process (AHP), promptly probability 0.1 is represented the root rate set between the face 0-0.3; 0.4 represent the Making by Probability Sets between the 0.3-0.5; 0.7 represent the Making by Probability Sets between the 0.5-0.9; 1 represents the Making by Probability Sets more than 0.9, thereby reaches the Fuzzy Processing of symptom probability of happening.
(B) computational methods of credibility: owing to adopt the production rule knowledge representation method, the reasoning process of medical diagnosis on disease can be described as when certain some symptom occurs, and the process of the probability size of certain disease is suffered from by system by the reasoning and calculation animal.The knowledge representation method of fowl disease diagnostic expert system is:
IF??E?THEN?H(CF(H.E))
Wherein, E is the precondition of knowledge, i.e. symptom; H is a conclusion, i.e. disease; (H E) is the credibility of this knowledge to CF.Because adopt above knowledge representation method, the reasoning process of medical diagnosis on disease can be described as when certain some symptom occurs, the process of the probability size of certain disease is suffered from by system by the reasoning and calculation animal.In the calculating of probability, suppose that A represents symptom, B represents disease, then P (B/A) represents when having the A symptom, the probability that disease B takes place, when P (A/B) expression takes a disease disease B, the probability that symptom A takes place.So according to Bayesian formula (1):
The number of the disease that system can diagnose.By to Bayesian formula variation (2)
To these symptom assignment, so the scope of CF becomes O≤CF≤10 by-10≤CF≤10, processing can make to calculate and oversimplify like this, improves Reasoning Efficiency
Diagnostic data storage device 13 is used to store fowl disease name of disease and corresponding symptom.
Medical record management device 14 is used for newly-built case history, revises case history, inquires about case history, prints case history, deletes case history.
System management facility 15 is used for user management, password is revised and disease information is safeguarded.In fowl disease maintenance of information function, the user can according to oneself experience and practical situation is revised and preserve oneself knowledge base, make things convenient for the user to consult and learn.
Auxiliary data storage device 16 is used to store the data of fowl disease details, symptom collection of illustrative plates, veterinary drug knowledge and/or fowl disease video.The fowl disease details are meant general introduction, cause of disease, epidemiology, clinical symptoms, pathological change, diagnosis discriminating and the prophylactico-therapeutic measures of every kind of fowl disease, and this part knowledge is mainly used for reference standard works and veterinary exert's clinical prevention gains in depth of comprehension.It is corresponding that symptom collection of illustrative plates and symptom are described, thus reveal any symptoms vivo more directly perceived, the knowledge of this respect is mainly collected, arrangement, and the picture finishing, picture description etc., wherein fowl disease symptom picture is totally 942.The fowl disease video is for collecting and put in order with video mode explanation fowl disease, and video is lively more directly perceived with respect to literal and picture, is the strong instrument of understanding and learn fowl disease knowledge, puts 40 sections of fowl disease videos altogether in order.
A kind of fowl disease diagnostic method of the embodiment of the invention may further comprise the steps as shown in Figure 2:
Step s201 obtains the observed symptom of user.
Step s202 obtains the credibility of fowl disease according to the probability of happening of symptom.Specifically comprise:
Adopt analytic hierarchy process (AHP) that the symptom probability of happening is carried out cluster;
According to fuzzy set theory the probability that symptom takes place is divided into several Making by Probability Sets;
According to formula
I=1,2 ... n obtains the value of credibility,
Wherein, Di be fowl disease i credibility and value; M is the fowl disease symptom; K is all cardinal symptom numbers of enumerating of fowl disease; CF is the credibility of fowl disease symptom m to fowl disease i; N is the number of the fowl disease that can diagnose of system.
Determine one group of symptom A
1, A
2... A
kDuring appearance, the animal disease B that takes a disease
jProbability.
In reasoning process, with probability calculation as a result the intermediate value maximum disease B as the diagnosis intermediate object program or result.In formula (2), the denominator in all medical diagnosis on disease reasoning processes all is identical, so in order to simplify the operand in the reasoning process, formula (2) is reduced to formula (3) P
i=P (B
i) P (A
1/ B
i) P (A
2/ B
i) ... P (A
k/ B
i) form of (3):
In knowledge-base design, consider that animal suffers from the probability height difference of various diseases, disease is classified, be divided into regular incidence, inferior regular incidence, few morbidity and rare morbidity, every class disease is corresponding to different probability of happening P, in addition, in same class disease, each disease is sorted once more according to the frequency difference that takes place, to solve in reasoning process when the equal probabilities value of calculation occurs the regular preferential matching problem of system's decision.
Because the value after the probability calculation is very little, so we are according to the employing 10[lgP (A/B)+1 of propositions such as Chen Zheng] form the probability of system is converted, this value of calculation rounded up be converted to the credibility CF of integer as probability, then the span of CF is :-10≤CF≤10.For convenience of calculation in reasoning process, we adopt the algorithm of formula (4) to carry out the computational methods of disease generation confidence value:
Wherein, Di be fowl disease i credibility and value; M is the fowl disease symptom; K is all cardinal symptom numbers of enumerating of fowl disease; CF is the credibility of fowl disease symptom m to fowl disease i; N is the number of the fowl disease that can diagnose of system
The value of the credibility of disease probability of happening (CF) is normal distribution, if CF is between-10～0, represent that the generation of this symptom is meaningless to the disease generation, or not this symptom when promptly disease takes place, we only consider the contribution of symptom to diagnosing that disease itself has, a pin
Step s203 according to name of disease, symptom and the credibility of fowl disease, diagnoses out the name of disease and the incidence rate of fowl disease.Specifically comprise: many symptoms combined diagnosis method:, diagnose out the name of disease and the incidence rate of fowl disease according to a series of symptoms of corresponding sick group and the observed sick chicken of user; Cardinal symptom method of diagnosis:, diagnose out the name of disease and the incidence rate of fowl disease according to cardinal symptom and at least one related symptoms of corresponding sick group, the observed sick chicken of user; Suspect the name of disease method of diagnosis:, diagnose out the name of disease and the incidence rate of fowl disease according to the symptom that corresponding fowl disease is classified, the user suspects name of disease and the observed sick chicken of user.Respectively three kinds of methods are specifically described below;
1, many symptoms combined diagnosis method
Specialist system is divided into 16 symptom groups in detail with the symptom of easily sending out of 77 kinds of fowl disease that China has found, be common easy symptom group, head and neck symptom group, hat whisker symptom group, eye symptom group, skin feather symptom group, Respiratory symptoms group, gastrointestinal symptom group, neuromotor system symptom group, subcutaneous, muscle changes symptom group, liver, spleen, nephropathy becomes symptom group, stomach, enteropathy becomes the symptom group, the heart, brain, the symptoms of neuropathy group, skeleton, bone marrow lesion symptom group, fabricius bursa, fallopian tube pathological changes symptom group, lung, other pathological changes symptom groups of trachea pathological changes symptom group and dissection.Symptom clauses and subclauses under every symptom group all are furnished with the symptom picture of ill chicken as far as possible, user's symptom click earlier according to ill chicken when diagnosis enters corresponding sick group, that chooses that specialist system provides observes a series of symptoms that the disease chicken conforms to the user, then by " diagnosis " button, specialist system will provide diagnostic result, diagnose out the disease chicken may suffer from the name of disease and the incidence rate of disease, and specialist system can be pointed out the user, make a definite diagnosis other the symptoms whether user should examine has in order to reach, if the symptom that conforms to the sick chicken of user's diagnosis is arranged can be chosen once more, carry out diagnosis once more, so repeatedly, the user will obtain the accurate result that specialist system is given the user.Specialist system also offers details, prophylactico-therapeutic measures and the colored symptom collection of illustrative plates of user's disease simultaneously, just understands and study with the user.
As follows according to many symptoms combined diagnosis method diagnosis fowl disease example:
The a group laying hen is arranged, and age in days is many existing half a year, and just begun observed disease and be: 1. food obviously reduces; 2. lay eggs and obviously descend; 3. stretch out one's neck to the front upper place air-breathing; 4. mouth breathing.Its ill ratio is greater than 10%, and mortality rate is greater than 5%, and body temperature changes not obvious, has just begun also not do pathological anatomy and has observed.We just utilize many symptoms combined diagnosis method of specialist system to diagnose now.
Step 1: after entering specialist system, click " medical diagnosis on disease " menu, click " many symptoms combined diagnosis method " then or directly in normal toolbar, click " many symptoms method ", all can enter many symptoms combined diagnosis method window
Step 2: in many symptoms combined diagnosis method window, we change at first select to fall ill accordingly age in days, ill ratio, mortality rate and body temperature.Click common easy symptom button of lower-left face then, in the symptom to be selected of centre, find " search for food reduce or do not eat " to double-click or click earlier and choose, click " choosing " button then, can both finish selection operation.Egg drop reduction or stopping production, stretch out one's neck to the front upper place air-breathing and mouth breathing with same choosing method, most of symptom specialist system also is furnished with collection of illustrative plates, shows by the upper right side wicket.The symptom of selecting can be presented in " having selected symptom " window
Step 3: in many symptoms combined diagnosis method window, click the diagnosis button, specialist system will provide diagnostic result, and is as shown below.From diagnostic result we as can be seen the chicken incidence rate of suffering from infectious laryngotracheitis be 38%, the incidence rate of suffering from visceroatonia type horse Garrick is 32%, the incidence rate of suffering from the mixed type fowlpox is 31%, the incidence rate of suffering from infectious bronchitis is 31%, and the incidence rate of suffering from egg drop syndrome is 30%.
Step 4: but specialist system can " be made a definite diagnosis for reaching; please the user notice that again observation has or not following symptom " in the take a disease back prompting of disease of chicken the subject of knowledge and the object of knowledge, suppose that we find that the disease chicken also has cough and normal expectoration band blood mucus, draws the green loose stool and the symptom of breathing, we choose below, the front has check mark when choosing, and font color also can shoal, and carries out " diagnosis once more " button, specialist system will be made and be diagnosed and provide diagnostic result once more, and is as shown below.From diagnostic result we as can be seen the chicken incidence rate of suffering from infectious laryngotracheitis be 58%, the incidence rate of suffering from acute typhoid fever is 33%, the incidence rate of suffering from visceroatonia type horse Garrick is 32%, and the incidence rate of suffering from the mixed type fowlpox is 31%, and the incidence rate of suffering from infectious bronchitis is 31%.
Step 5: after carrying out diagnosis once more, from diagnostic result we as can be seen the chicken incidence rate of suffering from infectious laryngotracheitis be 58%, we can conclude tentatively that chicken has suffered from infectious laryngotracheitis, if we also are familiar with pathological anatomy, might as well dissect several chickens just dead or that be in a bad way and observe their typical pathological change, if find their larynx, tunica mucosa tracheae swelling, hemorrhage and rotten to the corn through dissecting several sick chickens, we choose this symptom, the same execution once more diagnosed, and specialist system will be made diagnosis for the third time and be provided diagnostic result.From diagnostic result we as can be seen the chicken incidence rate of suffering from infectious laryngotracheitis be 75%, at this moment we can conclude that basically the chicken group has suffered from infectious laryngotracheitis.
Step 6: click " prophylactico-therapeutic measures " button in the diagnostic result window, specialist system will eject the prophylactico-therapeutic measures of infectious laryngotracheitis of chicken.Can also check that in this window " disease description " and " symptom collection of illustrative plates " switches window, can also " be saved in the case history storehouse " by the lower left, " page setup ", " Print Preview " and the Close button execution corresponding operating.
2, according to the cardinal symptom method of diagnosis
Similar with many symptoms combined diagnosis method, specialist system is divided into 16 symptom groups in detail with the symptom of easily sending out of 77 kinds of fowl disease that China has found, symptom clauses and subclauses under every symptom group all are furnished with the symptom picture of ill chicken as far as possible, user's cardinal symptom according to ill chicken when diagnosis enters corresponding sick group, that chooses that specialist system provides observes the cardinal symptom that the disease chicken conforms to the user, specialist system the right window can provide other symptoms relevant with cardinal symptom, the user need select a related symptoms at least, specialist system just can be diagnosed, by " diagnosis " button, specialist system will provide diagnostic result, diagnose out the disease chicken may suffer from the name of disease and the incidence rate of disease, and specialist system can be pointed out the user, to make a definite diagnosis other the symptoms whether user should examine has in order reaching,, to carry out diagnosis once more if there is the symptom that conforms to the sick chicken of user's diagnosis to choose once more, so repeatedly, the user will obtain the accurate result that specialist system is given the user.Specialist system also offers details, prophylactico-therapeutic measures and the colored symptom collection of illustrative plates of user's disease simultaneously, just understands and study with the user.
As follows according to cardinal symptom method of diagnosis diagnosis fowl disease example:
The a group chicken is arranged, age in days is 30 days, observing cardinal symptom is vertical pulling white water sample loose stool, also has the vertical ground of head in addition, instability of gait, rock on foot, the atrophy that the enlargement that dissecting disease chicken discovery fabricius bursa has has can judge it is atrophy after the first enlargement, and we diagnose this fowl disease according to the cardinal symptom method of diagnosis.
Step 1: after entering specialist system, click " medical diagnosis on disease " menu, click " according to the cardinal symptom method of diagnosis " then or directly in normal toolbar, click " cardinal symptom ", all can enter according to cardinal symptom method of diagnosis window.
Step 2: in according to cardinal symptom method of diagnosis window, we at first click in the symptom grouping of the left side " digestive system button ", in middle " please select cardinal symptom " tabulation, find an in line white water sample loose stool and click, can show in the window of " please selecting related symptoms " then on the right that the symptom relevant with cardinal symptom tabulate, we choose " the vertical ground of head ", " instability of gait, rock on foot ", " atrophy after the enlargement of fabricius bursa elder generation " symptom the check mark hook can occur in the check box of front when choosing.
Step 3: in according to cardinal symptom method of diagnosis window, click the diagnosis button, specialist system will provide diagnostic result, and is as shown below.From diagnostic result we as can be seen the chicken incidence rate of suffering from infectious bursal disease be 45%, the incidence rate of suffering from vitamin D deficiency is 13%, the incidence rate of suffering from Vitamin B1 deficiency is 11%, the incidence rate of suffering from aflatoxicosis is 11%, and the incidence rate of suffering from young chicken paratyphoid fever is 9%.
Step 4: the same with many symptoms combined diagnosis method, but specialist system can be in the take a disease back prompting " make a definite diagnosis for reaching, please user notice that again observation has or not following symptom " of disease of chicken the subject of knowledge and the object of knowledge, and the user can operate according to own practical situation, no longer repeats at this.From diagnostic result we as can be seen the chicken incidence rate of suffering from infectious bursal disease be 45%, we are can conclude tentatively that chicken has suffered from infectious bursal disease.
Step 5: click " prophylactico-therapeutic measures " button in the diagnostic result window, specialist system will eject the prophylactico-therapeutic measures of infectious bursal disease.Can also check that in this window " disease description " and " symptom collection of illustrative plates " switches window, can also " be saved in the case history storehouse " by the lower left, " page setup ", " Print Preview " and the Close button execution corresponding operating.
3, according to suspecting the name of disease method of diagnosis
Specialist system is divided into 5 groups with 77 kinds of fowl disease that China has found according to paathogenic factor, i.e. the viral infectious of chicken, the bacterial infectious disease of chicken, the parasitic disease of chicken, the toxonosis of chicken, malnutrition of chicken and metabolic disease.Diagnosis has certain experience if the user is to fowl disease, but tentative diagnosis goes out the disease that disease chicken the subject of knowledge and the object of knowledge is suffered from, and can adopt the method for " according to suspecting the name of disease diagnosis " to verify and diagnosis once more.Click the corresponding sick group button that left side user suspects name of disease, clicking the suspection name of disease then, specialist system the right window can provide the symptom with this disease association, choose with the user and observe the symptom that conforms to, then by " diagnosis " button, specialist system will provide diagnostic result, diagnose out the disease chicken may suffer from the name of disease and the incidence rate of disease, and specialist system can be pointed out the user, to make a definite diagnosis other the symptoms whether user should examine has in order reaching,, to carry out diagnosis once more if there is the symptom that conforms to the sick chicken of user's diagnosis to choose once more, so repeatedly, the user will obtain the accurate result that specialist system is given the user.Specialist system also offers details, prophylactico-therapeutic measures and the colored symptom collection of illustrative plates of user's disease simultaneously, just understands and study with the user
According to suspecting that name of disease method of diagnosis diagnosis fowl disease example is as follows:
One chicken house is arranged, and cough all appears in 10% big chicken, mouth breathing, and the rale symptom appears in sneeze, trachea, but dead less, finds most chicken larynxes, trachea swelling by dissecting, and cheesy exudate is arranged on the air bag muddiness.We judge that according to experience chicken may be to have suffered from mycoplasma infection, and we just can be according to suspecting the checking of name of disease method of diagnosis and diagnosing disease that chicken takes a disease again so.
Step 1: after entering specialist system, click " medical diagnosis on disease " menu, click " according to suspecting the name of disease method of diagnosis " then or directly in normal toolbar, click " suspection name of disease ", all can enter according to suspecting name of disease method of diagnosis window.
Step 2: in according to suspection name of disease method of diagnosis window, we at first click " bacterial infectious disease of chicken " button in the disease grouping of the left side, in middle " please select to suspect name of disease " tabulation, find mycoplasma gallisepticam infection and click, can show in the window of " please selecting related symptoms " then on the right that the symptom relevant with this disease tabulate, we choose " size is all fallen ill ", " ill ratio is greater than 10% ", " mortality rate rises less than 5% ", " mouth breathing ", " cough ", " sneeze ", " larynx; trachea swelling ", the symptom that " cheesy exudate arranged " on the air bag muddiness check mark hook can occur in the check box of front when choosing.
Step 3: according to suspecting in the name of disease method of diagnosis window, click the diagnosis button, specialist system will provide diagnostic result.From diagnostic result we as can be seen the chicken incidence rate of suffering from mycoplasma gallisepticam infection be 81%.Therefore we can conclude tentatively that chicken has suffered from mycoplasma gallisepticam infection.
Step 4: click " prophylactico-therapeutic measures " button in the diagnostic result window, specialist system will eject the prophylactico-therapeutic measures of mycoplasma gallisepticam infection.Can also check that in this window " disease description " and " symptom collection of illustrative plates " switches window, can also " be saved in the case history storehouse " by the lower left, " page setup ", " Print Preview " and the Close button execution corresponding operating.
Also comprise medical record management and system management step in the present embodiment, described medical record management step specifically comprises newly-built case history, modification case history, inquiry case history, prints the step of case history, deletion case history; Described system management step specifically comprises user management, the step that password is revised and disease information is safeguarded.
The present invention is not only applicable to different poultryfarming and veterinary's diagnosis and treatment department carries out clinical diagnosis, is applicable to that also each feed factory, animal pharmaceutical factory, feedstuff veterinary drug distributor carry out after-sale service and use.Therefore, the popularization of fowl disease diagnostic expert system will improve the veterinary's of basic unit clinical diagnosis level greatly, produces very big social benefit and economic benefit, for animal husbandry production provides strong guarantee.
The above only is a preferred implementation of the present invention; should be pointed out that for those skilled in the art, under the prerequisite that does not break away from the technology of the present invention principle; can also make some improvements and modifications, these improvements and modifications also should be considered as protection scope of the present invention.
Claims (10)
1. a fowl disease diagnostic system is characterized in that, described system comprises:
The diagnostic data storage device is used to store fowl disease name of disease and corresponding symptom;
The credibility deriving means is used for the symptom according to fowl disease, adopts analytic hierarchy process (AHP) that the probability of happening of fowl disease symptom is carried out fuzzy comprehensive evoluation and cluster analysis, and obtains the credibility of fowl disease according to the probability of happening of symptom;
The diagnostic equipment is used for the observed symptom according to the user, with name of disease, the symptom of the fowl disease of described diagnostic data memory device stores and the credibility of obtaining, fowl disease is diagnosed.
2. fowl disease diagnostic system as claimed in claim 1 is characterized in that, the described diagnostic equipment comprises:
Many symptoms combined diagnosis unit is used for a series of symptoms according to corresponding sick group and the observed sick chicken of user, diagnoses out the name of disease and the incidence rate of fowl disease;
The cardinal symptom diagnosis unit is used for cardinal symptom and at least one related symptoms according to corresponding sick group, the observed sick chicken of user, diagnoses out the name of disease and the incidence rate of fowl disease;
Suspect the name of disease diagnosis unit, be used for suspecting the symptom of name of disease and the observed sick chicken of user, diagnose out the name of disease and the incidence rate of fowl disease according to corresponding fowl disease classification, user.
3. fowl disease diagnostic system as claimed in claim 2, it is characterized in that, described sick group comprises: common easy symptom group, head and neck symptom group, hat whisker symptom group, eye symptom group, skin feather symptom group, the Respiratory symptoms group, the gastrointestinal symptom group, neuromotor system symptom group, subcutaneous, muscle changes symptom group, liver,spleen,kidney pathological changes symptom group, stomach, enteropathy become symptom group, the heart, brain, symptoms of neuropathy group, skeleton, bone marrow lesion symptom group, fabricius bursa, fallopian tube pathological changes symptom group, other pathological changes symptom groups of lung, trachea pathological changes symptom group and dissection.
4. fowl disease diagnostic system as claimed in claim 2 is characterized in that, described fowl disease classification comprises: viral infectious, bacterial infectious disease, parasitic disease, toxonosis, malnutrition and metabolic disease.
5. fowl disease diagnostic system as claimed in claim 1 is characterized in that described system also comprises the auxiliary data storage device, is used to store the data of fowl disease details, symptom collection of illustrative plates, veterinary drug knowledge and/or fowl disease video.
6. fowl disease diagnostic system as claimed in claim 1 is characterized in that, described system also comprises:
The medical record management device is used for newly-built case history, revises case history, inquires about case history, prints case history, deletes case history;
System management facility is used for user management, password modification and disease information and safeguards.
7. a fowl disease diagnostic method is characterized in that, said method comprising the steps of:
Obtain the observed symptom of user;
Obtain the credibility of fowl disease according to the probability of happening of symptom;
According to name of disease, symptom and the credibility of fowl disease, diagnose out the name of disease and the incidence rate of fowl disease.
8. fowl disease diagnostic method as claimed in claim 7 is characterized in that, described probability of happening according to symptom obtains the step of the credibility of fowl disease, specifically comprises:
Adopt analytic hierarchy process (AHP) that the symptom probability of happening is carried out cluster;
According to fuzzy set theory the probability that symptom takes place is divided into several Making by Probability Sets;
According to formula
I=1,2 ... n obtains the value of credibility,
Wherein, Di be fowl disease i credibility and value; M is the fowl disease symptom; K is all cardinal symptom numbers of enumerating of fowl disease; CF is the credibility of fowl disease symptom m to fowl disease i; N is the number of the fowl disease that can diagnose of system.
9. fowl disease diagnostic method as claimed in claim 7 is characterized in that, described name of disease according to fowl disease, symptom and credibility are diagnosed out the name of disease of fowl disease and the step of incidence rate, specifically comprise:
According to a series of symptoms of corresponding sick group and the observed sick chicken of user, diagnose out the name of disease and the incidence rate of fowl disease; Or
According to cardinal symptom and at least one related symptoms of corresponding sick group, the observed sick chicken of user, diagnose out the name of disease and the incidence rate of fowl disease; Or
According to the symptom that corresponding fowl disease is classified, the user suspects name of disease and the observed sick chicken of user, diagnose out the name of disease and the incidence rate of fowl disease.
10. fowl disease diagnostic method as claimed in claim 7, it is characterized in that, described method also comprises medical record management and system management step, and described medical record management step specifically comprises newly-built case history, modification case history, inquiry case history, prints the step of case history, deletion case history; Described system management step specifically comprises user management, the step that password is revised and disease information is safeguarded.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106815479A (en) * | 2017-01-17 | 2017-06-09 | 北京农信互联科技有限公司 | Livestock cultivates remote diagnosis system and method |
| CN110504028A (en) * | 2019-08-22 | 2019-11-26 | 上海软中信息系统咨询有限公司 | A kind of disease way of inquisition, device, system, computer equipment and storage medium |
| CN111681755A (en) * | 2020-04-28 | 2020-09-18 | 北京农业信息技术研究中心 | Pig disease diagnosis and treatment system and method |
| CN112120669A (en) * | 2020-09-15 | 2020-12-25 | 北京市华都峪口禽业有限责任公司 | Self-help diagnosis method for diseases of laying hens and system development method thereof |
| CN114916470A (en) * | 2022-06-15 | 2022-08-19 | 扬州大学 | Chicken disease expert system for small and medium-sized chicken farmers |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN86209042U (en) * | 1986-11-13 | 1987-07-22 | 中国农业科学院哈尔滨兽医研究所 | Diagnosis box for infectious discease series of livestock and poultry |
| US7865278B2 (en) * | 2006-06-14 | 2011-01-04 | Spx Corporation | Diagnostic test sequence optimization method and apparatus |
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2008
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106815479A (en) * | 2017-01-17 | 2017-06-09 | 北京农信互联科技有限公司 | Livestock cultivates remote diagnosis system and method |
| CN110504028A (en) * | 2019-08-22 | 2019-11-26 | 上海软中信息系统咨询有限公司 | A kind of disease way of inquisition, device, system, computer equipment and storage medium |
| CN111681755A (en) * | 2020-04-28 | 2020-09-18 | 北京农业信息技术研究中心 | Pig disease diagnosis and treatment system and method |
| CN112120669A (en) * | 2020-09-15 | 2020-12-25 | 北京市华都峪口禽业有限责任公司 | Self-help diagnosis method for diseases of laying hens and system development method thereof |
| CN114916470A (en) * | 2022-06-15 | 2022-08-19 | 扬州大学 | Chicken disease expert system for small and medium-sized chicken farmers |
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