CN108305675A - Intelligent hospital guide's method and system of diversity enhancing - Google Patents
Intelligent hospital guide's method and system of diversity enhancing Download PDFInfo
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Abstract
The present invention provides intelligent hospital guide's method and system of species diversity enhancing, is related to medical field.The embodiment of the present invention is according to the evaluating of each doctor, the ranking of hospital belonging to each doctor, and the hospital belonging to each doctor is at a distance from patient current location, determine the ability weight, First Hospital weight and range of driving weight of each doctor, and intelligent hospital guide's model is established accordingly, the recommendation index of each doctor is finally determined using intelligent hospital guide's model, and is chosen the corresponding doctor's behaviours of the maximum recommendation index and recommended doctor.Above-mentioned technical proposal solves the problems, such as that hospital resources distribution is uneven, while the factors such as the range of driving of patient and hospital and the ranking of hospital are combined when recommending doctor, and optimal seeing can be provided for patient and examines doctor's suggestion.
Description
Technical field
The present invention relates to medical fields, and in particular to intelligent hospital guide's method and system of species diversity enhancing.
Background technology
Hospital guide is exactly that patient is guided to see a doctor at associated department or doctor.Under normal circumstances, patient is special to the diagnosis and treatment of hospital
Professional speciality of color and doctor etc. is not known about simultaneously, therefore provides hospital guide's service in order to timely, good for patient, now exhausted big portion
Point hospital uses the mode of setting hospital guide person to provide hospital guide for patient and services.But it is maximum existing for the mode of this artificial hospital guide
The problem of be exactly the relevant information for being only the doctor that patient provides hospital where hospital guide person, can not be for patient
Disease provides the relevant information of the doctor of other hospitals for patient, although this mode can carry for patient to a certain extent
Suggestion is examined for preferably seeing, but the relevant information of other hospital doctors can not be provided for patient, medical resource can not be solved
Distribute uneven problem.The mode of artificial hospital guide there is also hospital guide person's workloads excessive, crew shortage and inefficiency simultaneously
The problem of.
The patent of Patent No. 201710206541.3 discloses a kind of intelligent robot diagnosis guiding system, the intelligent robot
Diagnosis guiding system can initiative recognition patient exist, and be that it carries out preliminary interrogation, provide and related see the suggestion for examining doctor, the program
It solves the problems such as excessive hospital guide person's workload, crew shortage and hospital guide's efficiency are low to a certain extent, but fails to solve hospital
The problem of resource allocation unevenness.Simultaneously above-mentioned patent or also fail in the prior art specifically according to the range of driving of patient and hospital with
And the factors such as ranking of hospital provide optimal seeing for patient and examine doctor's suggestion.
Invention content
(1) the technical issues of solving
In view of the deficiencies of the prior art, the present invention provides intelligent hospital guide's method and system of species diversity enhancing, solutions
The optimal problem seen and examine doctor and hospital resources distribution unevenness can not be provided for patient in the prior art by having determined.
(2) technical solution
In order to achieve the above object, the present invention is achieved by the following technical programs：
In a first aspect, providing intelligent hospital guide's method of species diversity enhancing, described method includes following steps：
Corresponding first doctor list is chosen for the disease of patient；The wherein described first doctor list includes several names
Hospital belonging to doctor and each doctor；
The evaluation of each doctor in the first doctor list is obtained, and according to the evaluation of each doctor, determines each doctor
Raw ability weight；
Obtain the ranking of the hospital in the first doctor list belonging to each doctor, and the doctor belonging to each doctor
The ranking of institute determines the First Hospital weight of each doctor；
The hospital in the first doctor list belonging to each doctor is obtained at a distance from patient current location, and according to institute
Distance is stated, determines the range of driving weight of each doctor；
According to the ability weight, First Hospital weight and the range of driving weight of each doctor in the first doctor list
Intelligent hospital guide's model is established, and the recommendation index of each doctor is determined using intelligent hospital guide's model, and chooses maximum institute
It states and the corresponding doctor's behaviours of index is recommended to recommend doctor.
With reference to first aspect, in the first possible implementation, the method further includes following steps：
The hospital belonging to each doctor is obtained at a distance from patient current location；
Judge whether the distance is more than preset distance, if the distance is more than the preset distance, by the distance
Corresponding doctor deletes from the first doctor list.
The possible realization method of with reference to first aspect the first, in second of possible realization method, the method
Further include following steps：
According to the sequence of the recommendation index from high in the end, each doctor is ranked up, the second doctor row are obtained
Table；
For each doctor in the second doctor list, obtains the hospital belonging to current physician and collect in corresponding hospital
The number occurred in conjunction, and the quotient of the number and the total number of the Hospital pools institute of traditional Chinese medicine is calculated, obtain the second hospital power
Weight；Wherein, the Hospital pools are the set that the recommendation index is equal to or less than the hospital belonging to the doctor of current physician；
According to the ability weight, First Hospital weight of each doctor, the second hospital power in the second doctor list
Weight and range of driving weight establish Intelligent target hospital guide's model, and the mesh of each doctor is determined using the Intelligent target hospital guide model
Mark recommends index, and chooses the maximum target and recommend the corresponding doctor of index, obtains target and recommends doctor.
Second of possible realization method with reference to first aspect, in the third possible realization method, the method
The ability weight of each doctor is determined using following formula：
In formula, uiIndicate i-th of doctor in the first doctor list u, wuiIt indicates in the first doctor list u
The ability weight of i-th of doctor, cijIndicate that the evaluation quantity of the disease j of i-th of doctor, I indicate the first doctor row
The quantity of doctor in table.
The third possible realization method with reference to first aspect, in the 4th kind of possible realization method, the method
The range of driving weight of each doctor is determined using following formula：
In formula, dpzIndicate the distance between hospital z and the patient p in the first doctor list belonging to a doctor,
maxdpzIndicate the maximum value in the distance between hospital and patient belonging to each doctor in the first doctor list, wdpz
Indicate the range of driving weight of each doctor in the first doctor list.
The 4th kind of possible realization method with reference to first aspect, in the 5th kind of possible realization method, the method
The First Hospital weight of each doctor is determined using following formula：
In formula, rzThe ranking of the hospital z in the first doctor list belonging to a doctor is indicated, described in r_lowest is indicated
The ranking of the last hospital in hospital in first doctor's list belonging to each doctor；whz1Indicate the first doctor row
The First Hospital weight of each doctor in table；
The method determines second hospital's weight of each doctor using following formula：
In formula, numhzIndicate that the hospital z in the second doctor list belonging to a doctor goes out in corresponding Hospital pools
Existing number, Z indicate the quantity of corresponding doctor in the corresponding Hospital pools of current physician,Hospital's collection
Close the total number of institute of traditional Chinese medicine, whz2Indicate second hospital's weight of each doctor in the second doctor list.
The 5th kind of possible realization method with reference to first aspect, in the 6th kind of possible realization method, the target
Intelligent hospital guide's model is：
Wherein,
In formula, Y indicates that the target recommends index, P to indicate the quantity of patient.
Second aspect provides the intelligent diagnosis guiding system of species diversity enhancing, the system comprises：
First doctor's list acquisition module chooses corresponding first doctor list for the disease for patient；Wherein institute
It includes the hospital belonging to several doctors and each doctor to state first doctor's list；
Data acquisition module, for obtaining the evaluating of each doctor in the first doctor list, first doctor row
Hospital in the ranking of hospital in table belonging to each doctor and the first doctor list belonging to each doctor works as with patient
The distance of front position；
Ability weight determination module determines the ability weight of each doctor for the evaluation according to each doctor；
First Hospital weight determination module determines each doctor's for the ranking of the hospital belonging to each doctor
First Hospital weight；
Range of driving weight determination module, for according to the distance, determining the range of driving weight of each doctor；
Doctor's recommending module, for according to the ability weight of each doctor, the first doctor in the first doctor list
Institute's weight and range of driving weight establish intelligent hospital guide's model, and determine that the recommendation of each doctor refers to using intelligent hospital guide's model
Number, and choose the corresponding doctor's behaviours of the maximum recommendation index and recommend doctor.
In conjunction with second aspect, in the first possible implementation, the system also includes：
Doctor's screening module, for obtaining the hospital belonging to each doctor at a distance from patient current location, described in judgement
Whether distance is more than preset distance, if the distance is more than the preset distance, by it is described apart from corresponding doctor from described
It is deleted in first doctor's list.
The possible realization method of with reference to first aspect the first, in second of possible realization method, the system
Further include：
Second doctor's list acquisition module, for the sequence according to the recommendation index from high in the end, to each doctor
Life is ranked up, and obtains second doctor's list；
Second hospital's weight determination module, for for each doctor in the second doctor list, obtaining current doctor
The number that hospital belonging to raw occurs in corresponding Hospital pools, and calculate the number and the Hospital pools institute of traditional Chinese medicine
The quotient of total number obtains second hospital's weight；Wherein, the Hospital pools are that the recommendation index is equal to or less than current physician
Doctor belonging to hospital set；
Doctor's recommending module, be additionally operable to according to the ability weight of each doctor in the second doctor list,
First Hospital weight, second hospital's weight and range of driving weight establish Intelligent target hospital guide's model, and utilize the Intelligent target
Hospital guide's model determines that the target of each doctor recommends index, and chooses the maximum target and recommend the corresponding doctor of index, obtains
Recommend doctor to target.
(3) advantageous effect
An embodiment of the present invention provides intelligent hospital guide's method and system of species diversity enhancing.Have following beneficial to effect
Fruit：
The embodiment of the present invention obtains first doctor's list first against the disease of patient, obtains later in first doctor's list
The evaluating of each doctor, hospital belonging to each doctor ranking, and the hospital belonging to each doctor and patient current location
Distance, determine the ability weight, First Hospital weight and range of driving weight of each doctor, and establish intelligent hospital guide's mould accordingly
Type, finally determines the recommendation index of each doctor using intelligent hospital guide's model, and it is corresponding to choose the maximum recommendation index
Doctor's behaviours recommend doctor.Above-mentioned technical proposal solves the problems, such as that hospital resources distribution is uneven, while being tied when recommending doctor
The factors such as the range of driving of patient and hospital and the ranking of hospital have been closed, optimal seeing can be provided for patient and examine doctor's suggestion.On
It is the angle distributed from global resource to state, and by the illness of patient, the position of patient, is provided for it and has the ability to diagnose its disease
Disease, and hospital's ranking it is excellent, apart from moderate doctor, effectively solve current large hospital the courtyard is as crowded as a marketplace and have same diagnostic
Patient's number of the small hospital of same disease ability very few phenomenon, is conducive to alleviate that medical resource distribution is uneven to be showed
Shape, while the patient personalized purpose for selecting doctor may be implemented according to the range of driving of patient and hospital.
Description of the drawings
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technology description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
Some embodiments of invention for those of ordinary skill in the art without creative efforts, can be with
Obtain other attached drawings according to these attached drawings.
Fig. 1 schematically illustrates the flow chart of intelligent hospital guide's method of the diversity enhancing of one embodiment of the invention；
Fig. 2 schematically illustrates the flow chart of intelligent hospital guide's method of the diversity enhancing of yet another embodiment of the invention；
Fig. 3 schematically illustrates the block diagram of the intelligent diagnosis guiding system of the diversity enhancing of one embodiment of the invention；
Fig. 4 schematically illustrates the block diagram of the intelligent diagnosis guiding system of the diversity enhancing of yet another embodiment of the invention；
Fig. 5 schematically illustrates the block diagram of the intelligent diagnosis guiding system of the diversity enhancing of further embodiment of this invention.
Specific implementation mode
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with the embodiment of the present invention
In attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is
A part of the embodiment of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art
The every other embodiment obtained without creative efforts, shall fall within the protection scope of the present invention.
Intelligent hospital guide's method of one species diversity enhancing, as shown in Figure 1, described method includes following steps：
110, corresponding first doctor list is chosen for the disease of patient；If the wherein described first doctor list includes
Hospital belonging to dry doctor and each doctor；
This step is before execution it needs to be determined that the disease of patient, could obtain the first doctor according to the disease of patient later
List；
120, the evaluation of each doctor in the first doctor list is obtained, and according to the evaluation of each doctor, is determined every
The ability weight of a doctor；
In this step, the ability weight of each doctor is determined using following formula：
In formula, uiIndicate i-th of doctor in the first doctor list u, wuiIt indicates in the first doctor list u
The ability weight of i-th of doctor, cijIndicate that the evaluation quantity of the disease j of i-th of doctor, I indicate the first doctor row
The quantity of doctor in table；
130, the ranking of the hospital in the first doctor list belonging to each doctor is obtained, and according to belonging to each doctor
Hospital ranking, determine the First Hospital weight of each doctor；
In this step, the First Hospital weight of each doctor is determined using following formula：
In formula, rzThe ranking of the hospital z in the first doctor list belonging to a doctor is indicated, described in r_lowest is indicated
The ranking of the last hospital in hospital in first doctor's list belonging to each doctor；whz1Indicate the first doctor row
The First Hospital weight of each doctor in table；
140, the hospital in the first doctor list belonging to each doctor is obtained at a distance from patient current location, and root
According to the distance, the range of driving weight of each doctor is determined；
In this step, the range of driving weight of each doctor is determined using following formula：
In formula, dpzIndicate the distance between hospital z and the patient p in the first doctor list belonging to a doctor,
maxdpzIndicate the maximum value in the distance between hospital and patient belonging to each doctor in the first doctor list, wdpz
Indicate the range of driving weight of each doctor in the first doctor list；
150, according to the ability weight, First Hospital weight and the range of driving of each doctor in the first doctor list
Weight establishes intelligent hospital guide's model, and determines the recommendation index of each doctor using intelligent hospital guide's model, and chooses maximum
The corresponding doctor's behaviours of the recommendation index recommend doctor；Specifically by ability weight, First Hospital weight and the range of driving
Weight obtains intelligent hospital guide's model as product.In addition, according to recommend index according to sequence from big to small by corresponding doctor into
Row sequence, which will obtain seeing, examines doctor's recommendation list.
The present embodiment is the angle distributed from global resource, by the illness of patient, the position of patient, is provided for it
Have the ability diagnose its disease, and hospital's ranking it is excellent, apart from moderate doctor's list.Ensure that patient light can be obtained using this method
Doctor's list is obtained to capable its disease of diagnosis, which fully considers remaining objective indicator of patient, such as patient and hospital
The range of driving, hospital official's ranking, comprehensive hospital ability.
In one embodiment, intelligent hospital guide's method of the diversity enhancing further includes following steps：
210, the hospital belonging to each doctor is obtained at a distance from patient current location；
220, judge whether the distance is more than preset distance, it, will be described if the distance is more than the preset distance
It is deleted from the first doctor list apart from corresponding doctor.
The present embodiment will be rejected apart from the too far doctor of patient.
In one embodiment, as shown in Fig. 2, intelligent hospital guide's method of diversity enhancing further includes following steps：
310, the sequence according to the recommendation index from high in the end, is ranked up each doctor, obtains the second doctor
Raw list；
320, for each doctor in the second doctor list, the hospital belonging to current physician is obtained in corresponding doctor
The number occurred in institute's set, and the quotient of the number and the total number of the Hospital pools institute of traditional Chinese medicine is calculated, obtain the second doctor
Institute's weight；Wherein, the Hospital pools are the collection that the recommendation index is equal to or less than the hospital belonging to the doctor of current physician
It closes；
In this step, second hospital's weight of each doctor is determined using following formula：
In formula, numhzIndicate that the hospital z in the second doctor list belonging to a doctor goes out in corresponding Hospital pools
Existing number, Z indicate the quantity of corresponding doctor in the corresponding Hospital pools of current physician,Hospital's collection
Close the total number of institute of traditional Chinese medicine, whz2Indicate second hospital's weight of each doctor in the second doctor list；
330, according to the ability weight, First Hospital weight of each doctor, the second doctor in the second doctor list
Institute's weight and range of driving weight establish Intelligent target hospital guide's model, and determine each doctor using the Intelligent target hospital guide model
Target recommend index, and choose the maximum target and recommend the corresponding doctor of index, obtain target and recommend doctor；In addition,
Recommending index according to sequence to be from big to small ranked up corresponding doctor according to target will obtain seeing and examines doctor's recommendation list；
In this step, Intelligent target hospital guide's model is：
Wherein,
In formula, Y indicates that the target recommends index, P to indicate the quantity of patient.
Above-described embodiment obtains doctor's list (i.e. first doctor's list) of corresponding disease according to the disease of patient first；
Evaluation data of the patient to the diagnosis disease in list are obtained, data is thus evaluated and obtains the corresponding doctor's ability of the disease
Optimal sequencing (the ability weight for obtaining each doctor)；Intelligent hospital guide's model in the present invention is reused, fully considers doctor
Ability, hospital's ranking, hospital resources, patient and the range of driving of hospital obtain seeing and examine doctor's recommendation list.Wherein, method intelligence hospital guide mould
The algorithm of type has used for reference the thought of greedy algorithm, reduces the space complexity of algorithm by way of obtaining local optimum, and adopt
The purpose that patient is branched to Different hospital is realized with the mode of dynamic update weight.It is stranded present invention seek to address that patient selects doctor
Difficulty, the uneven problem of hospital resources distribution.Above-described embodiment can effectively solve the problem that current large hospital, and the courtyard is as crowded as a marketplace and has phase
With patient's number very few phenomenon of the small hospital of diagnosis same disease ability, be conducive to alleviate medical resource distribution not
Equal present situation.
Corresponding to the above method, the embodiment of the present invention additionally provides the intelligent diagnosis guiding system of species diversity enhancing, such as Fig. 3
It is shown, the system comprises：
First doctor's list acquisition module chooses corresponding first doctor list for the disease for patient；Wherein institute
It includes the hospital belonging to several doctors and each doctor to state first doctor's list；
Data acquisition module, for obtaining the evaluating of each doctor in the first doctor list, first doctor row
Hospital in the ranking of hospital in table belonging to each doctor and the first doctor list belonging to each doctor works as with patient
The distance of front position；
Ability weight determination module determines the ability weight of each doctor for the evaluation according to each doctor；
First Hospital weight determination module determines each doctor's for the ranking of the hospital belonging to each doctor
First Hospital weight；
Range of driving weight determination module, for according to the distance, determining the range of driving weight of each doctor；
Doctor's recommending module, for according to the ability weight of each doctor, the first doctor in the first doctor list
Institute's weight and range of driving weight establish intelligent hospital guide's model, and determine that the recommendation of each doctor refers to using intelligent hospital guide's model
Number, and choose the corresponding doctor's behaviours of the maximum recommendation index and recommend doctor.
In one embodiment, as shown in figure 4, the intelligent diagnosis guiding system of diversity enhancing further includes：
Doctor's screening module, for obtaining the hospital belonging to each doctor at a distance from patient current location, described in judgement
Whether distance is more than preset distance, if the distance is more than the preset distance, by it is described apart from corresponding doctor from described
It is deleted in first doctor's list.
In one embodiment, as shown in figure 5, the intelligent diagnosis guiding system of diversity enhancing further includes：
Second doctor's list acquisition module, for the sequence according to the recommendation index from high in the end, to each doctor
Life is ranked up, and obtains second doctor's list；
Second hospital's weight determination module, for for each doctor in the second doctor list, obtaining current doctor
The number that hospital belonging to raw occurs in corresponding Hospital pools, and calculate the number and the Hospital pools institute of traditional Chinese medicine
The quotient of total number obtains second hospital's weight；Wherein, the Hospital pools are that the recommendation index is equal to or less than current physician
Doctor belonging to hospital set；
Doctor's recommending module, be additionally operable to according to the ability weight of each doctor in the second doctor list,
First Hospital weight, second hospital's weight and range of driving weight establish Intelligent target hospital guide's model, and utilize the Intelligent target
Hospital guide's model determines that the target of each doctor recommends index, and chooses the maximum target and recommend the corresponding doctor of index, obtains
Recommend doctor to target.
Each step in the method for the embodiment of the present invention is the system in the embodiment of the present invention during intelligent hospital guide
The step of it is one-to-one, the system of the embodiment of the present invention each step during intelligent hospital guide is all contained in implementation of the present invention
In the method for example, therefore, for the part repeated, it is not discussed here.
The intelligent diagnosis guiding system of the diversity enhancing of the present invention is carried out below by another specific embodiment detailed
Explanation.
The system of the present embodiment includes data preparation module, intelligent hospital guide's model building module and model solution module.
Data preparation module is for obtaining following data：The disease ability is commented to diagnosis by the disease of patient, patient
Valence, official's ranking of hospital, hospital and the range of driving of patient.Wherein, doctor's merit rating is ranked up from high to low, obtains doctor
Ability sorted lists.
Many existing doctor's commending systems are only recommended according to the qualifications and record of service of doctor, cause large hospital patient's number super
Phenomena such as load, patient fight for expert number, hospital resources distribution is uneven.To solve these problems, the present embodiment is pushed away for patient
When recommending doctor, ability in addition to considering diagnosis disease, it is also contemplated that the accounting situation of doctor's ability sequence institute of traditional Chinese medicine, doctor
The accounting situation of these factors of the range of driving of official's ranking of institute and patient and hospital, wherein doctor's ability sequence institute of traditional Chinese medicine
The quantity situation for the high quality doctor that hospital possesses can directly be embodied；Official's ranking of hospital can embody the integrity service water of hospital
It is flat；The range of driving of patient and hospital directly affects the convenience degree that patient receives treatment.The present invention is using intelligent hospital guide's model, finally
Recommend sequence, specific modeling process as follows the doctor for obtaining tradeoff These parameters：
Doctor's ability obtains the evaluation of diagnosis disease by patient, represents the patient satisfaction of diagnosis disease
And experience.Doctor's ability weightFor doctor uiDiagnose the illness vjEvaluation cijAccount for all diagnosis disease vjEvaluation's
Accounting.Doctor's ability weight is embodied as：If doctor's ability weight is bigger, this kind of disease of diagnosis is represented
The experience of disease is abundanter, and the satisfaction of patient is higher.
Hospital's weight includes accounting (corresponding above-mentioned two hospital weight) and official of the hospital row of doctor's ability sequence institute of traditional Chinese medicine
Name (corresponding above-mentioned hospital weight) two parts of situation.Wherein, the accounting of doctor's ability sequence institute of traditional Chinese medicine is by hospital hz
NumberAccount for all hospital's numbers in the listRatio be calculated, which is a newer process of dynamic, because
For in sequencer procedure, as doctor uiAfter selecting, when selecting next bit doctor, uses and reject uiDoctor after information
Ability sorts, and so on, until all doctors are sorted.
Official of hospital ranking can reflect the whole medical treatment service level of the hospital, therefore the ranking is higher, corresponding power
Weight should be bigger.Hospital during doctor's ability is sorted first carries out corresponding, r with official of hospital rankingzIndicate hospital hzOfficial
Hospital's ranking of official of doctor's ability sequence institute of traditional Chinese medicine ranking most end is set as r_lowest, then list institute of traditional Chinese medicine ranking by ranking
Ranging from [1, r_lowest], hospital's ranking is mapped on [0,1] for indicating hospital official using the relationship of linear decrease
The weight of square ranking, then the weight of official of hospital ranking be represented byHospital's weight, which integrates, to be indicated
For：
For patient during selecting doctor, the range of driving of patient and hospital is important one of considerations, directly affects patient
Selection to doctor, therefore the present embodiment is using the range of driving of patient and hospital as one of multifarious index of tradeoff.Patient and doctor
The range of driving of institute is and centered on patient, to collect all hospitals in the region by determining patient position and patient's range of driving is small
It is ranked up in hospital's list of D, and by range of driving length, and intersection is taken with the hospital in the sequence of doctor's ability.As patient and doctor
More in short-term, the dynamics of recommendation should be bigger, then corresponding weight should also be as bigger for the range of driving of institute, therefore our usage times decay letter
Number f (x)=(1-x) e-xTo portray the correspondence between the range of driving and weight, wherein enableX ∈ [0,1], dpzTable
Show hospital hzWith the range of driving between patient p, i.e., the weight of the range of driving between patient and hospitalIt is represented by：
To sum up, it is as follows that intelligent hospital guide's model can be obtained：
Wherein, the object function of the model isY indicates multiplying for sequence items weight
Product, Y value is bigger, then corresponding doctor's sequence is more excellent, i.e. doctor sequence more can consider doctor's ability, doctor's capabilities list
The factor of the accounting of institute of traditional Chinese medicine, the ranking of hospital and the range of driving of patient and hospital in terms of these, therefore the purpose of the model is
Obtain doctor's sequence corresponding when Y value maximum.Model includes 4 constraintss, condition one：dpz≤ D is for limiting patient
With the range of driving range of hospital；Its excess-three condition is respectively used to solve the weight of doctor's abilityThe weight of hospitalAnd patient
With the weight of the hospital range of driving
Since doctor's number in list is more, if solving the object function of all possible doctor's sequence, this can be caused
The space complexity of model solution is very high, and solution efficiency is low, therefore the present embodiment model solution module uses for reference the think of of heart-to-heart talk algorithm
Think, reduces the space complexity of algorithm by solving local optimum, specifically：
Step 1: utilizing dpz≤ D screens doctor, selects the doctor that all ranges of driving between patient are less than D.
Step 2: calculating the value of static weight.In hospital's weight computations, the accounting of doctor's ability sequence institute of traditional Chinese medicine
It is a newer process of dynamic, therefore second part puts aside the weight of this part again, by the weight meter of remaining static part
It calculates, temporaryInstead of hospital's weight, thenThe static state of each doctor is calculated as shown in Table 1 below
Weight：
Table 1
It is ranked up according to the static weight of doctor, obtains table 2：
Table 2
Step 3: being sorted according to the static weight of doctor, doctor is extracted on earth from sequence by height, calculates its dynamic
Weight, and static weight is multiplied with changeable weight to obtain final weight, and to final doctor's weight carry out by it is high on earth
Sequence.
The present embodiment fully considered during recommending doctor doctor's ability, hospital's ranking, hospital resources distribution,
The range of driving these factors between hospital and patient realize and patient personalized select doctor and the uneven problem of hospital resources distribution.
Calculating is seen examine doctor's recommendation list during, used for reference the thought of heart-to-heart talk algorithm, reduced the space complexity of algorithm, using dynamic
The mode of state update weight improves the diversity of recommended doctor's list, realizes the mesh that patient is branched to Different hospital
's.
It should be noted that herein, relational terms such as first and second and the like are used merely to a reality
Body or operation are distinguished with another entity or operation, are deposited without necessarily requiring or implying between these entities or operation
In any actual relationship or order or sequence.Moreover, the terms "include", "comprise" or its any other variant are intended to
Non-exclusive inclusion, so that the process, method, article or equipment including a series of elements is not only wanted including those
Element, but also include other elements that are not explicitly listed, or further include for this process, method, article or equipment
Intrinsic element.In the absence of more restrictions, the element limited by sentence "including a ...", it is not excluded that
There is also other identical elements in process, method, article or equipment including the element.
The above embodiments are merely illustrative of the technical solutions of the present invention, rather than its limitations；Although with reference to the foregoing embodiments
Invention is explained in detail, it will be understood by those of ordinary skill in the art that：It still can be to aforementioned each implementation
Technical solution recorded in example is modified or equivalent replacement of some of the technical features；And these modification or
It replaces, the spirit and scope for various embodiments of the present invention technical solution that it does not separate the essence of the corresponding technical solution.
Claims (10)
1. intelligent hospital guide's method of species diversity enhancing, which is characterized in that described method includes following steps：
Corresponding first doctor list is chosen for the disease of patient；The wherein described first doctor list includes several doctors
And the hospital belonging to each doctor；
The evaluation of each doctor in the first doctor list is obtained, and according to the evaluation of each doctor, determines each doctor's
Ability weight；
Obtain the ranking of the hospital in the first doctor list belonging to each doctor, and the hospital belonging to each doctor
Ranking determines the First Hospital weight of each doctor；
The hospital in the first doctor list belonging to each doctor is obtained at a distance from patient current location, and according to it is described away from
From determining the range of driving weight of each doctor；
It is established according to the ability weight, First Hospital weight of each doctor in the first doctor list and range of driving weight
Intelligent hospital guide's model, and the recommendation index of each doctor is determined using intelligent hospital guide's model, and choose maximum described push away
It recommends the corresponding doctor's behaviours of index and recommends doctor.
2. according to the method described in claim 1, it is characterized in that, the method further includes following steps：
The hospital belonging to each doctor is obtained at a distance from patient current location；
Judge whether the distance is more than preset distance, it is if the distance is more than the preset distance, the distance is corresponding
Doctor deleted from the first doctor list.
3. according to the method described in claim 2, it is characterized in that, the method further includes following steps：
According to the sequence of the recommendation index from high in the end, each doctor is ranked up, second doctor's list is obtained；
For each doctor in the second doctor list, the hospital belonging to current physician is obtained in corresponding Hospital pools
The number of appearance, and the quotient of the number and the total number of the Hospital pools institute of traditional Chinese medicine is calculated, obtain second hospital's weight；Its
In, the Hospital pools are the set that the recommendation index is equal to or less than the hospital belonging to the doctor of current physician；
According to the ability weight, First Hospital weight, second hospital's weight of each doctor in the second doctor list with
And range of driving weight establishes Intelligent target hospital guide's model, and determine that the target of each doctor pushes away using the Intelligent target hospital guide model
Index is recommended, and chooses the maximum target and recommends the corresponding doctor of index, target is obtained and recommends doctor.
4. according to the method described in claim 3, it is characterized in that, the method determines the energy of each doctor using following formula
Power weight：
In formula, uiIndicate i-th of doctor in the first doctor list u, wuiIndicate i-th in the first doctor list u
The ability weight of a doctor, cijIndicate that the evaluation quantity of the disease j of i-th of doctor, I indicate in the first doctor list
The quantity of doctor.
5. according to the method described in claim 4, it is characterized in that, the method determines the vehicle of each doctor using following formula
Cheng Quanchong：
In formula, dpzIndicate the distance between hospital z and the patient p in the first doctor list belonging to a doctor, maxdpzIt indicates
Maximum value in the distance between hospital belonging to each doctor and patient in the first doctor list, wdpzDescribed in expression
The range of driving weight of each doctor in first doctor's list.
6. according to the method described in claim 5, it is characterized in that, the method determines the of each doctor using following formula
One hospital's weight：
In formula, rzIndicate that the ranking of the hospital z in the first doctor list belonging to a doctor, r_lowest indicate described first
The ranking of the last hospital in hospital in doctor's list belonging to each doctor；whz1It indicates in the first doctor list
The First Hospital weight of each doctor；
The method determines second hospital's weight of each doctor using following formula：
In formula, numhzIndicate what the hospital z in the second doctor list belonging to a doctor occurred in corresponding Hospital pools
Number, Z indicate the quantity of corresponding doctor in the corresponding Hospital pools of current physician,In the Hospital pools
The total number of hospital, whz2Indicate second hospital's weight of each doctor in the second doctor list.
7. according to the method described in claim 6, it is characterized in that, the Intelligent target hospital guide model is：
Wherein,
In formula, Y indicates that the target recommends index, P to indicate the quantity of patient.
8. the intelligent diagnosis guiding system of species diversity enhancing, which is characterized in that the system comprises：
First doctor's list acquisition module chooses corresponding first doctor list for the disease for patient；Wherein described
One doctor's list includes the hospital belonging to several doctors and each doctor；
Data acquisition module, for obtaining the evaluating, in the first doctor list of each doctor in the first doctor list
Hospital belonging to each doctor and patient's present bit in the ranking of hospital belonging to each doctor and the first doctor list
The distance set；
Ability weight determination module determines the ability weight of each doctor for the evaluation according to each doctor；
First Hospital weight determination module determines the first of each doctor for the ranking of the hospital belonging to each doctor
Hospital's weight；
Range of driving weight determination module, for according to the distance, determining the range of driving weight of each doctor；
Doctor's recommending module, for being weighed according to the ability weight of each doctor, First Hospital in the first doctor list
Weight and range of driving weight establish intelligent hospital guide's model, and the recommendation index of each doctor is determined using intelligent hospital guide's model,
And it chooses the corresponding doctor's behaviours of the maximum recommendation index and recommends doctor.
9. system according to claim 8, which is characterized in that the system also includes：
Doctor's screening module judges the distance for obtaining the hospital belonging to each doctor at a distance from patient current location
Whether be more than preset distance, if the distance is more than the preset distance, by it is described apart from corresponding doctor from described first
It is deleted in doctor's list.
10. system according to claim 8, which is characterized in that the system also includes：
Second doctor's list acquisition module, for according to the recommendation index sequence from high in the end, to each doctor into
Row sequence, obtains second doctor's list；
Second hospital's weight determination module, for for each doctor in the second doctor list, obtaining current physician institute
The number that the hospital of category occurs in corresponding Hospital pools, and calculate total of the number and the Hospital pools institute of traditional Chinese medicine
Several quotient obtains second hospital's weight；Wherein, the Hospital pools are the doctor that the recommendation index is equal to or less than current physician
The set of hospital belonging to raw；
Doctor's recommending module is additionally operable to according to the ability weight of each doctor, first in the second doctor list
Hospital's weight, second hospital's weight and range of driving weight establish Intelligent target hospital guide's model, and utilize the Intelligent target hospital guide
Model determines that the target of each doctor recommends index, and chooses the maximum target and recommend the corresponding doctor of index, obtains mesh
Mark recommends doctor.
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