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
- Publication number
- CN108305675A CN108305675A CN201810077938.1A CN201810077938A CN108305675A CN 108305675 A CN108305675 A CN 108305675A CN 201810077938 A CN201810077938 A CN 201810077938A CN 108305675 A CN108305675 A CN 108305675A
- Authority
- CN
- China
- Prior art keywords
- doctor
- hospital
- weight
- list
- distance
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000000034 method Methods 0.000 title claims abstract description 58
- 230000002708 enhancing effect Effects 0.000 title 1
- 238000003745 diagnosis Methods 0.000 claims abstract description 33
- 238000011156 evaluation Methods 0.000 claims abstract description 24
- 201000010099 disease Diseases 0.000 claims description 30
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 claims description 30
- 238000012216 screening Methods 0.000 claims description 3
- 238000012163 sequencing technique Methods 0.000 claims 2
- 230000003068 static effect Effects 0.000 description 6
- 230000009286 beneficial effect Effects 0.000 description 4
- 238000010586 diagram Methods 0.000 description 3
- 238000013468 resource allocation Methods 0.000 description 3
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000004364 calculation method Methods 0.000 description 1
- 230000003247 decreasing effect Effects 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 238000012797 qualification Methods 0.000 description 1
- 208000024891 symptom Diseases 0.000 description 1
- 238000005303 weighing Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/22—Social work or social welfare, e.g. community support activities or counselling services
Landscapes
- Business, Economics & Management (AREA)
- Tourism & Hospitality (AREA)
- Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Economics (AREA)
- General Health & Medical Sciences (AREA)
- Human Resources & Organizations (AREA)
- Marketing (AREA)
- Child & Adolescent Psychology (AREA)
- Strategic Management (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Medical Treatment And Welfare Office Work (AREA)
Abstract
本发明提供一种多样性增强的智能导诊方法及系统，涉及医疗领域。本发明实施例根据每个医生的评价、每个医生所属的医院的排名，以及每个医生所属的医院与患者当前位置的距离，确定每个医生的能力权重、第一医院权重以及车程权重，并据此建立智能导诊模型，最后利用智能导诊模型确定每个医生的推荐指数，并选取最大的所述推荐指数对应的医生作为推荐医生。上述技术方案解决了医院资源分配不均的问题，同时在推荐医生时结合了患者与医院的车程以及医院的排名等因素，能够为患者提供最优的看诊医生建议。
The invention provides a diversity-enhanced intelligent diagnosis guidance method and system, which relate to the medical field. According to the evaluation of each doctor, the ranking of the hospital to which each doctor belongs, and the distance between the hospital to which each doctor belongs and the current location of the patient, the embodiment of the present invention determines the ability weight, first hospital weight, and driving weight of each doctor. Based on this, an intelligent guidance model is established, and finally the recommendation index of each doctor is determined by using the intelligent guidance model, and the doctor corresponding to the largest recommendation index is selected as the recommended doctor. The above technical solution solves the problem of uneven allocation of hospital resources, and at the same time, when recommending doctors, it combines factors such as the distance between the patient and the hospital and the ranking of the hospital, and can provide patients with the best doctor recommendations.
Description
技术领域technical field
本发明涉及医疗领域，具体涉及一种多样性增强的智能导诊方法及系统。The invention relates to the medical field, in particular to an intelligent diagnosis guidance method and system with enhanced diversity.
背景技术Background technique
导诊就是引导患者到相关科室或医生处就医。一般情况下，患者对医院的诊疗特色及医生的专业特长等并不了解，因此为了及时、优质的为患者提供导诊服务，现在绝大部分医院采用设置导诊员的方式为患者提供导诊服务。但是这种人工导诊的方式存在的最大的问题就是，其只能为患者提供导诊员所在的医院的医生的相关信息，并不能针对患者的疾病，为患者提供其他医院的医生的相关信息，这种方式虽然能够在一定程度上为患者提供较好的看诊建议，但是并不能为患者提供其他医院医生的相关信息，无法解决医疗资源分配不均的问题。同时人工导诊的方式还存在导诊员工作量过大、人员短缺以及效率低下的问题。Guidance is to guide patients to relevant departments or doctors for medical treatment. Under normal circumstances, patients do not understand the characteristics of the hospital's diagnosis and treatment and the professional expertise of doctors. Therefore, in order to provide timely and high-quality guidance services for patients, most hospitals now use the method of setting up consultation guides to provide guidance for patients. Serve. However, the biggest problem with this manual guidance method is that it can only provide patients with relevant information about doctors in the hospital where the guide is located, and cannot provide patients with relevant information about doctors in other hospitals for the patient's disease. Although this method can provide patients with better consultation advice to a certain extent, it cannot provide patients with relevant information about doctors in other hospitals, and cannot solve the problem of uneven distribution of medical resources. At the same time, the way of manual guidance also has the problems of excessive workload, shortage of personnel and low efficiency.
专利号为201710206541.3的专利公开了一种机器人智能导诊系统，该机器人智能导诊系统能够主动识别患者存在，并为其进行初步问诊，提供相关看诊医生的建议，该方案一定程度上解决了导诊员工作量过大、人员短缺以及导诊效率低等问题，但未能解决医院资源分配不均的问题。同时上述专利或现有技术中也未能具体地根据患者与医院的车程以及医院的排名等因素为患者提供最优的看诊医生建议。The patent No. 201710206541.3 discloses a robot intelligent guidance system. The robot intelligent guidance system can actively identify the presence of patients, conduct preliminary consultations for them, and provide relevant suggestions for doctors. This solution solves the problem to a certain extent. It solves the problems of excessive workload, shortage of staff and low efficiency of guidance, but fails to solve the problem of uneven distribution of hospital resources. At the same time, the above-mentioned patents or prior art also fail to provide patients with the best advice on seeing a doctor based on factors such as the distance between the patient and the hospital and the ranking of the hospital.
发明内容Contents of the invention
(一)解决的技术问题(1) Solved technical problems
针对现有技术的不足，本发明提供了一种多样性增强的智能导诊方法及系统，解决了现有技术中无法为患者提供最优看诊医生以及医院资源分配不均的问题。Aiming at the deficiencies of the prior art, the present invention provides an intelligent diagnosis guidance method and system with enhanced diversity, which solves the problems in the prior art that the patients cannot be provided with the optimal doctor and the hospital resources are unevenly allocated.
(二)技术方案(2) Technical solution
为实现以上目的，本发明通过以下技术方案予以实现：To achieve the above object, the present invention is achieved through the following technical solutions:
第一方面，提供了一种多样性增强的智能导诊方法，所述方法包括如下步骤：In the first aspect, a kind of intelligent diagnosis guidance method with enhanced diversity is provided, and the method includes the following steps:
针对患者的疾病选取对应的第一医生列表；其中所述第一医生列表中包括若干名医生以及每个医生所属的医院；Select the corresponding first doctor list for the patient's disease; wherein the first doctor list includes several doctors and the hospital to which each doctor belongs;
获取所述第一医生列表中每个医生的评价，并根据每个医生的评价，确定每个医生的能力权重；Obtain the evaluation of each doctor in the first doctor list, and determine the ability weight of each doctor according to the evaluation of each doctor;
获取所述第一医生列表中每个医生所属的医院的排名，并根据每个医生所属的医院的排名，确定每个医生的第一医院权重；Obtain the ranking of the hospital to which each doctor belongs in the first doctor list, and determine the first hospital weight of each doctor according to the ranking of the hospital to which each doctor belongs;
获取所述第一医生列表中每个医生所属的医院与患者当前位置的距离，并根据所述距离，确定每个医生的车程权重；Obtain the distance between the hospital to which each doctor belongs in the first doctor list and the patient's current location, and determine the driving weight of each doctor according to the distance;
根据所述第一医生列表中每个医生的所述能力权重、第一医院权重以及车程权重建立智能导诊模型，并利用所述智能导诊模型确定每个医生的推荐指数，并选取最大的所述推荐指数对应的医生作为推荐医生。Establish an intelligent guidance model according to the ability weight, first hospital weight and driving weight of each doctor in the first doctor list, and use the intelligent guidance model to determine the recommendation index of each doctor, and select the largest The doctor corresponding to the recommendation index is the recommended doctor.
结合第一方面，在第一种可能的实现方式中，所述方法还包括如下步骤：With reference to the first aspect, in a first possible implementation manner, the method further includes the following steps:
获取每个医生所属的医院与患者当前位置的距离；Obtain the distance between the hospital to which each doctor belongs and the patient's current location;
判断所述距离是否大于预定距离，若所述距离大于所述预定距离，则将所述距离对应的医生从所述第一医生列表中删除。It is judged whether the distance is greater than a predetermined distance, and if the distance is greater than the predetermined distance, the doctor corresponding to the distance is deleted from the first doctor list.
结合第一方面的第一种可能的实现方式，在第二种可能的实现方式中，所述方法还包括如下步骤：With reference to the first possible implementation of the first aspect, in a second possible implementation, the method further includes the following steps:
按照所述推荐指数从高到底的顺序，对每个所述医生进行排序，得到第二医生列表；Sorting each of the doctors according to the order of the recommendation index from high to low to obtain a list of second doctors;
针对所述第二医生列表中的每个医生，获取当前医生所属的医院在对应的医院集合中出现的次数，并计算所述次数与所述医院集合中医院的总个数的商，得到第二医院权重；其中，所述医院集合为所述推荐指数等于或小于当前医生的医生所属的医院的集合；For each doctor in the second doctor list, obtain the number of times the hospital to which the current doctor belongs appears in the corresponding hospital set, and calculate the quotient of the number of times and the total number of hospitals in the hospital set to obtain the first Two hospital weights; wherein, the hospital set is a set of hospitals whose recommendation index is equal to or less than that of the current doctor;
根据所述第二医生列表中每个医生的所述能力权重、第一医院权重、第二医院权重以及车程权重建立目标智能导诊模型，并利用所述目标智能导诊模型确定每个医生的目标推荐指数，并选取最大的所述目标推荐指数对应的医生，得到目标推荐医生。According to the ability weight, the first hospital weight, the second hospital weight and the driving weight of each doctor in the second doctor list, a target intelligent guidance model is established, and the target intelligent guidance model is used to determine each doctor's target recommendation index, and select the doctor corresponding to the largest target recommendation index to obtain the target recommended doctor.
结合第一方面的第二种可能的实现方式，在第三种可能的实现方式中，所述方法利用如下公式确定每个医生的能力权重：In combination with the second possible implementation of the first aspect, in a third possible implementation, the method uses the following formula to determine the ability weight of each doctor:
式中，ui表示所述第一医生列表u中的第i个医生，wui表示所述第一医生列表u中的第i个医生的能力权重，cij表示所述第i个医生的疾病j的评价数量，I表示所述第一医生列表中医生的数量。In the formula, u i represents the i-th doctor in the first doctor list u, w ui represents the ability weight of the i-th doctor in the first doctor list u, and c ij represents the i-th doctor’s The evaluation number of disease j, I represents the number of doctors in the first doctor list.
结合第一方面的第三种可能的实现方式，在第四种可能的实现方式中，所述方法利用如下公式确定每个医生的车程权重：In combination with the third possible implementation of the first aspect, in a fourth possible implementation, the method uses the following formula to determine the driving weight of each doctor:
式中，dpz表示所述第一医生列表中一医生所属的医院z与患者p之间的距离，maxdpz表示所述第一医生列表中的每个医生所属的医院与患者之间的距离中的最大值，wdpz表示所述第一医生列表中每个医生的车程权重。In the formula, d pz represents the distance between the hospital z to which a doctor belongs and patient p in the first doctor list, and maxd pz represents the distance between the hospital and the patient to which each doctor belongs in the first doctor list The maximum value in , w dpz represents the driving weight of each doctor in the first doctor list.
结合第一方面的第四种可能的实现方式，在第五种可能的实现方式中，所述方法利用如下公式确定每个医生的第一医院权重：With reference to the fourth possible implementation of the first aspect, in a fifth possible implementation, the method uses the following formula to determine the first hospital weight of each doctor:
式中，rz表示所述第一医生列表中一医生所属的医院z的排名，r_lowest表示所述第一医生列表中每个医生所属的医院中排名最后的医院的排名；whz1表示所述第一医生列表中每个医生的第一医院权重；In the formula, r z represents the ranking of the hospital z to which a doctor belongs in the first doctor list, r_lowest represents the ranking of the last hospital among the hospitals each doctor belongs to in the first doctor list; w hz1 represents the The first hospital weight of each doctor in the first doctor list;
所述方法利用如下公式确定每个医生的第二医院权重：The method uses the following formula to determine the weight of the second hospital for each doctor:
式中，numhz表示所述第二医生列表中一医生所属的医院z在对应的医院集合中出现的次数，Z表示当前医生对应的医院集合中对应的医生的数量，所述医院集合中医院的总个数，whz2表示所述第二医生列表中每个医生的第二医院权重。In the formula, num hz represents the number of times that the hospital z to which a doctor belongs in the second doctor list appears in the corresponding hospital set, Z represents the number of corresponding doctors in the hospital set corresponding to the current doctor, The total number of hospitals in the hospital set, w hz2 represents the second hospital weight of each doctor in the second doctor list.
结合第一方面的第五种可能的实现方式，在第六种可能的实现方式中，所述目标智能导诊模型为：In combination with the fifth possible implementation of the first aspect, in a sixth possible implementation, the target intelligent diagnosis guidance model is:
其中，in,
式中，Y表示所述目标推荐指数，P表示患者的数量。In the formula, Y represents the target recommendation index, and P represents the number of patients.
第二方面，提供了一种多样性增强的智能导诊系统，所述系统包括：In the second aspect, an intelligent diagnosis guidance system with enhanced diversity is provided, and the system includes:
第一医生列表获取模块，用于针对患者的疾病选取对应的第一医生列表；其中所述第一医生列表中包括若干名医生以及每个医生所属的医院；The first doctor list acquisition module is used to select a corresponding first doctor list for the patient's disease; wherein the first doctor list includes several doctors and the hospital to which each doctor belongs;
数据获取模块，用于获取所述第一医生列表中每个医生的评价、所述第一医生列表中每个医生所属的医院的排名，以及所述第一医生列表中每个医生所属的医院与患者当前位置的距离；A data acquisition module, configured to acquire the evaluation of each doctor in the first doctor list, the ranking of the hospital to which each doctor in the first doctor list belongs, and the hospital to which each doctor in the first doctor list belongs the distance from the patient's current location;
能力权重确定模块，用于根据每个医生的评价，确定每个医生的能力权重；A capability weight determination module, configured to determine the capability weight of each doctor according to the evaluation of each doctor;
第一医院权重确定模块，用于根据每个医生所属的医院的排名，确定每个医生的第一医院权重；The first hospital weight determination module is used to determine the first hospital weight of each doctor according to the ranking of the hospital to which each doctor belongs;
车程权重确定模块，用于根据所述距离，确定每个医生的车程权重；The driving weight determination module is used to determine the driving weight of each doctor according to the distance;
医生推荐模块，用于根据所述第一医生列表中每个医生的所述能力权重、第一医院权重以及车程权重建立智能导诊模型，并利用所述智能导诊模型确定每个医生的推荐指数，并选取最大的所述推荐指数对应的医生作为推荐医生。A doctor recommendation module, configured to establish an intelligent guidance model according to the ability weight, first hospital weight, and drive weight of each doctor in the first doctor list, and use the intelligent guidance model to determine each doctor's recommendation index, and select the doctor corresponding to the largest recommendation index as the recommended doctor.
结合第二方面，在第一种可能的实现方式中，所述系统还包括：With reference to the second aspect, in a first possible implementation manner, the system further includes:
医生筛选模块，用于获取每个医生所属的医院与患者当前位置的距离，判断所述距离是否大于预定距离，若所述距离大于所述预定距离，则将所述距离对应的医生从所述第一医生列表中删除。The doctor screening module is used to obtain the distance between the hospital to which each doctor belongs and the patient's current location, and judge whether the distance is greater than a predetermined distance, and if the distance is greater than the predetermined distance, then select the doctor corresponding to the distance from the Removed from the first doctor list.
结合第一方面的第一种可能的实现方式，在第二种可能的实现方式中，所述系统还包括：With reference to the first possible implementation of the first aspect, in a second possible implementation, the system further includes:
第二医生列表获取模块，用于按照所述推荐指数从高到底的顺序，对每个所述医生进行排序，得到第二医生列表；The second doctor list acquisition module is used to sort each of the doctors according to the order of the recommendation index from high to bottom to obtain the second doctor list;
第二医院权重确定模块，用于针对所述第二医生列表中的每个医生，获取当前医生所属的医院在对应的医院集合中出现的次数，并计算所述次数与所述医院集合中医院的总个数的商，得到第二医院权重；其中，所述医院集合为所述推荐指数等于或小于当前医生的医生所属的医院的集合；The second hospital weight determination module is used to obtain, for each doctor in the second doctor list, the number of times the hospital to which the current doctor belongs appears in the corresponding hospital set, and calculate the difference between the number of times and the number of times the hospital in the hospital set The quotient of the total number to obtain the weight of the second hospital; wherein, the set of hospitals is the set of hospitals whose recommendation index is equal to or less than that of the current doctor;
所述医生推荐模块，还用于根据所述第二医生列表中每个医生的所述能力权重、第一医院权重、第二医院权重以及车程权重建立目标智能导诊模型，并利用所述目标智能导诊模型确定每个医生的目标推荐指数，并选取最大的所述目标推荐指数对应的医生，得到目标推荐医生。The doctor recommendation module is also used to establish a target intelligent guidance model according to the ability weight, the first hospital weight, the second hospital weight and the driving weight of each doctor in the second doctor list, and use the target The intelligent guidance model determines the target recommendation index of each doctor, and selects the doctor corresponding to the largest target recommendation index to obtain the target recommended doctor.
(三)有益效果(3) Beneficial effects
本发明实施例提供了一种多样性增强的智能导诊方法及系统。具备以下有益效果：The embodiment of the present invention provides an intelligent diagnosis guidance method and system with enhanced diversity. Has the following beneficial effects:
本发明实施例首先针对患者的疾病获取第一医生列表，之后获取第一医生列表中每个医生的评价、每个医生所属的医院的排名，以及每个医生所属的医院与患者当前位置的距离，确定每个医生的能力权重、第一医院权重以及车程权重，并据此建立智能导诊模型，最后利用智能导诊模型确定每个医生的推荐指数，并选取最大的所述推荐指数对应的医生作为推荐医生。上述技术方案解决了医院资源分配不均的问题，同时在推荐医生时结合了患者与医院的车程以及医院的排名等因素，能够为患者提供最优的看诊医生建议。上述是从全局资源分配的角度出发，通过病人的病症、病人的位置，为其提供有能力诊断其疾病，且医院排名优异、距离适中的医生，有效解决目前大型医院门庭若市、而具有相同诊断同种疾病能力的小型医院的患者数却寥寥无几的现象，有利于缓解医疗资源分配不均的现状，同时根据患者与医院的车程可以实现患者个性化择医的目的。The embodiment of the present invention first obtains the first doctor list for the patient's disease, and then obtains the evaluation of each doctor in the first doctor list, the ranking of the hospital to which each doctor belongs, and the distance between the hospital to which each doctor belongs and the patient's current location , determine the ability weight of each doctor, the weight of the first hospital and the weight of the driving distance, and establish an intelligent guidance model based on this, and finally use the intelligent guidance model to determine the recommendation index of each doctor, and select the one corresponding to the largest recommendation index Physician as referring physician. The above technical solution solves the problem of uneven allocation of hospital resources, and at the same time, when recommending doctors, it combines factors such as the distance between the patient and the hospital and the ranking of the hospital, and can provide patients with the best doctor recommendations. The above is from the perspective of global resource allocation, through the patient's symptoms and location, provide doctors who are capable of diagnosing their diseases, and the hospital ranks well, and the distance is moderate. The phenomenon that there are only a few patients in small hospitals with the ability to treat various diseases is beneficial to alleviate the current situation of uneven distribution of medical resources, and at the same time, the purpose of personalized medical selection for patients can be realized according to the distance between patients and the hospital.
附图说明Description of drawings
为了更清楚地说明本发明实施例或现有技术中的技术方案，下面将对实施例或现有技术描述中所需要使用的附图作简单地介绍，显而易见地，下面描述中的附图仅仅是本发明的一些实施例，对于本领域普通技术人员来讲，在不付出创造性劳动的前提下，还可以根据这些附图获得其他的附图。In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings that need to be used in the description of the embodiments or the prior art. Obviously, the accompanying drawings in the following description are only These are some embodiments of the present invention. Those skilled in the art can also obtain other drawings based on these drawings without creative work.
图1示意性的示出了本发明一实施例的多样性增强的智能导诊方法的流程图；Fig. 1 schematically shows a flow chart of a diversity-enhanced intelligent diagnosis method according to an embodiment of the present invention;
图2示意性的示出了本发明再一实施例的多样性增强的智能导诊方法的流程图；Fig. 2 schematically shows a flow chart of a diversity-enhanced intelligent diagnosis method according to yet another embodiment of the present invention;
图3示意性的示出了本发明一实施例的多样性增强的智能导诊系统的框图；Fig. 3 schematically shows a block diagram of an intelligent diagnosis guidance system with enhanced diversity according to an embodiment of the present invention;
图4示意性的示出了本发明再一实施例的多样性增强的智能导诊系统的框图；Fig. 4 schematically shows a block diagram of an intelligent diagnosis guidance system with enhanced diversity according to yet another embodiment of the present invention;
图5示意性的示出了本发明又一实施例的多样性增强的智能导诊系统的框图。Fig. 5 schematically shows a block diagram of an intelligent diagnosis guidance system with enhanced diversity according to another embodiment of the present invention.
具体实施方式Detailed ways
为使本发明实施例的目的、技术方案和优点更加清楚，下面将结合本发明实施例中的附图，对本发明实施例中的技术方案进行清楚、完整地描述，显然，所描述的实施例是本发明一部分实施例，而不是全部的实施例。基于本发明中的实施例，本领域普通技术人员在没有作出创造性劳动前提下所获得的所有其他实施例，都属于本发明保护的范围。In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.
一种多样性增强的智能导诊方法，如图1所示，所述方法包括如下步骤：A kind of intelligent guidance method of diversity enhancement, as shown in Figure 1, described method comprises the steps:
110、针对患者的疾病选取对应的第一医生列表；其中所述第一医生列表中包括若干名医生以及每个医生所属的医院；110. Select the corresponding first doctor list for the patient's disease; wherein the first doctor list includes several doctors and the hospital to which each doctor belongs;
此步骤在执行之前需要确定患者的疾病，之后根据患者的疾病才能获取第一医生列表；Before this step is executed, the patient's disease needs to be determined, and then the first doctor list can be obtained according to the patient's disease;
120、获取所述第一医生列表中每个医生的评价，并根据每个医生的评价，确定每个医生的能力权重；120. Obtain the evaluation of each doctor in the first doctor list, and determine the ability weight of each doctor according to the evaluation of each doctor;
此步骤中，利用如下公式确定每个医生的能力权重：In this step, use the following formula to determine the ability weight of each doctor:
式中，ui表示所述第一医生列表u中的第i个医生，wui表示所述第一医生列表u中的第i个医生的能力权重，cij表示所述第i个医生的疾病j的评价数量，I表示所述第一医生列表中医生的数量；In the formula, u i represents the i-th doctor in the first doctor list u, w ui represents the ability weight of the i-th doctor in the first doctor list u, and c ij represents the i-th doctor’s The number of evaluations of disease j, I represents the number of doctors in the first doctor list;
130、获取所述第一医生列表中每个医生所属的医院的排名，并根据每个医生所属的医院的排名，确定每个医生的第一医院权重；130. Obtain the ranking of the hospital to which each doctor belongs in the first doctor list, and determine the weight of the first hospital of each doctor according to the ranking of the hospital to which each doctor belongs;
此步骤中，利用如下公式确定每个医生的第一医院权重：In this step, use the following formula to determine the weight of the first hospital for each doctor:
式中，rz表示所述第一医生列表中一医生所属的医院z的排名，r_lowest表示所述第一医生列表中每个医生所属的医院中排名最后的医院的排名；whz1表示所述第一医生列表中每个医生的第一医院权重；In the formula, r z represents the ranking of the hospital z to which a doctor belongs in the first doctor list, r_lowest represents the ranking of the last hospital among the hospitals each doctor belongs to in the first doctor list; w hz1 represents the The first hospital weight of each doctor in the first doctor list;
140、获取所述第一医生列表中每个医生所属的医院与患者当前位置的距离，并根据所述距离，确定每个医生的车程权重；140. Obtain the distance between the hospital to which each doctor belongs in the first doctor list and the patient's current location, and determine the driving weight of each doctor according to the distance;
此步骤中，利用如下公式确定每个医生的车程权重：In this step, use the following formula to determine the driving weight of each doctor:
式中，dpz表示所述第一医生列表中一医生所属的医院z与患者p之间的距离，maxdpz表示所述第一医生列表中的每个医生所属的医院与患者之间的距离中的最大值，wdpz表示所述第一医生列表中每个医生的车程权重；In the formula, d pz represents the distance between the hospital z to which a doctor belongs and patient p in the first doctor list, and maxd pz represents the distance between the hospital and the patient to which each doctor belongs in the first doctor list The maximum value in , w dpz represents the driving weight of each doctor in the first doctor list;
150、根据所述第一医生列表中每个医生的所述能力权重、第一医院权重以及车程权重建立智能导诊模型，并利用所述智能导诊模型确定每个医生的推荐指数，并选取最大的所述推荐指数对应的医生作为推荐医生；具体地，是将能力权重、第一医院权重以及车程权重作乘积得到智能导诊模型。另外，根据推荐指数按照从大到小的顺序将对应的医生进行排序将得到看诊医生推荐列表。150. Establish an intelligent guidance model according to the ability weight, first hospital weight, and driving weight of each doctor in the first doctor list, and use the intelligent guidance model to determine the recommendation index of each doctor, and select The doctor corresponding to the largest recommendation index is used as the recommended doctor; specifically, the intelligent guidance model is obtained by multiplying the ability weight, the first hospital weight and the driving weight as the product. In addition, according to the recommendation index, the corresponding doctors are sorted in descending order to obtain a doctor recommendation list.
本实施例是从全局资源分配的角度出发，通过病人的病症、病人的位置，为其提供有能力诊断其疾病，且医院排名优异、距离适中的医生列表。确保患者使用该方法能轻松得到有能力诊断其疾病得医生列表，该列表充分考虑患者的其余客观指标，例如患者与医院的车程、医院的官方排名、医院综合能力。In this embodiment, from the perspective of global resource allocation, a list of doctors who are capable of diagnosing their diseases, with excellent hospital rankings and moderate distances are provided through the patient's illness and location. To ensure that patients can easily obtain a list of doctors who are capable of diagnosing their diseases by using this method, the list fully considers other objective indicators of the patient, such as the driving distance between the patient and the hospital, the official ranking of the hospital, and the comprehensive capabilities of the hospital.
在一个实施例中，所述多样性增强的智能导诊方法还包括如下步骤：In one embodiment, the intelligent diagnosis guidance method of described diversity enhancement also comprises the following steps:
210、获取每个医生所属的医院与患者当前位置的距离；210. Obtain the distance between the hospital to which each doctor belongs and the current location of the patient;
220、判断所述距离是否大于预定距离，若所述距离大于所述预定距离，则将所述距离对应的医生从所述第一医生列表中删除。220. Determine whether the distance is greater than a predetermined distance, and if the distance is greater than the predetermined distance, delete the doctor corresponding to the distance from the first doctor list.
本实施例将距离患者太远的医生剔除。In this embodiment, doctors who are too far away from the patient are eliminated.
在一个实施例中，如图2所示，多样性增强的智能导诊方法还包括如下步骤：In one embodiment, as shown in Figure 2, the intelligent diagnosis guidance method of diversity enhancement also includes the following steps:
310、按照所述推荐指数从高到底的顺序，对每个所述医生进行排序，得到第二医生列表；310. Sort each of the doctors according to the order of the recommendation index from high to low to obtain a list of second doctors;
320、针对所述第二医生列表中的每个医生，获取当前医生所属的医院在对应的医院集合中出现的次数，并计算所述次数与所述医院集合中医院的总个数的商，得到第二医院权重；其中，所述医院集合为所述推荐指数等于或小于当前医生的医生所属的医院的集合；320. For each doctor in the second doctor list, obtain the number of times the hospital to which the current doctor belongs appears in the corresponding hospital set, and calculate the quotient of the number of times and the total number of hospitals in the hospital set, Obtain the second hospital weight; wherein, the hospital set is the set of hospitals whose recommendation index is equal to or less than the current doctor's doctor;
此步骤中，利用如下公式确定每个医生的第二医院权重：In this step, use the following formula to determine the weight of the second hospital for each doctor:
式中，numhz表示所述第二医生列表中一医生所属的医院z在对应的医院集合中出现的次数，Z表示当前医生对应的医院集合中对应的医生的数量，所述医院集合中医院的总个数，whz2表示所述第二医生列表中每个医生的第二医院权重；In the formula, num hz represents the number of times that the hospital z to which a doctor belongs in the second doctor list appears in the corresponding hospital set, Z represents the number of corresponding doctors in the hospital set corresponding to the current doctor, The total number of hospitals in the hospital set, w hz2 represents the second hospital weight of each doctor in the second doctor list;
330、根据所述第二医生列表中每个医生的所述能力权重、第一医院权重、第二医院权重以及车程权重建立目标智能导诊模型，并利用所述目标智能导诊模型确定每个医生的目标推荐指数，并选取最大的所述目标推荐指数对应的医生，得到目标推荐医生；另外，根据目标推荐指数按照从大到小的顺序将对应的医生进行排序将得到看诊医生推荐列表；330. Establish a target intelligent guidance model according to the ability weight, first hospital weight, second hospital weight, and driving distance weight of each doctor in the second doctor list, and use the target intelligent guidance model to determine each The doctor's target recommendation index, and select the doctor corresponding to the largest target recommendation index to get the target recommended doctor; in addition, according to the target recommendation index, sort the corresponding doctors in order from large to small to get the doctor recommendation list ;
此步骤中，目标智能导诊模型为：In this step, the target intelligent guidance model is:
其中，in,
式中，Y表示所述目标推荐指数，P表示患者的数量。In the formula, Y represents the target recommendation index, and P represents the number of patients.
上述实施例，首先根据病人的疾病获取对应疾病的医生列表(即第一医生列表)；获取病人对列表中医生诊断该疾病的评价数据，由此评价数据得到该疾病对应的医生能力最优排序(即得到每个医生的能力权重)；再使用本发明中的智能导诊模型，充分考虑医生能力、医院排名、医院资源、患者与医院的车程得到看诊医生推荐列表。其中，法智能导诊模型的算法借鉴了贪心算法的思想，通过获取局部最优的方式降低算法的空间复杂度，并采用动态更新权重的方式实现将患者分流至不同医院的目的。本发明旨在解决患者择医困难，医院资源分配不均的难题。上述实施例能够有效解决目前大型医院门庭若市、而具有相同诊断同种疾病能力的小型医院的患者数却寥寥无几的现象，有利于缓解医疗资源分配不均的现状。In the above embodiment, first, according to the patient's disease, the list of doctors corresponding to the disease (ie, the first doctor list) is obtained; the patient's evaluation data of the doctor in the list for diagnosing the disease is obtained, and the evaluation data obtains the optimal ranking of the doctor's ability corresponding to the disease (that is, to obtain the ability weight of each doctor); then use the intelligent guidance model in the present invention to fully consider the doctor's ability, hospital ranking, hospital resources, patient and hospital's driving distance to obtain the doctor's recommendation list. Among them, the algorithm of the method intelligent guidance model draws on the idea of greedy algorithm, reduces the space complexity of the algorithm by obtaining local optimum, and realizes the purpose of shunting patients to different hospitals by dynamically updating weights. The present invention aims to solve the problems of difficulty in choosing a doctor for patients and uneven distribution of hospital resources. The above-mentioned embodiments can effectively solve the phenomenon that large hospitals are full of people, while small hospitals with the same ability to diagnose the same disease have only a few patients, which is beneficial to alleviate the current situation of uneven distribution of medical resources.
对应于上述方法，本发明实施例还提供了一种多样性增强的智能导诊系统，如图3所示，所述系统包括：Corresponding to the above method, an embodiment of the present invention also provides an intelligent diagnosis guidance system with enhanced diversity, as shown in Figure 3, the system includes:
第一医生列表获取模块，用于针对患者的疾病选取对应的第一医生列表；其中所述第一医生列表中包括若干名医生以及每个医生所属的医院；The first doctor list acquisition module is used to select a corresponding first doctor list for the patient's disease; wherein the first doctor list includes several doctors and the hospital to which each doctor belongs;
数据获取模块，用于获取所述第一医生列表中每个医生的评价、所述第一医生列表中每个医生所属的医院的排名，以及所述第一医生列表中每个医生所属的医院与患者当前位置的距离；A data acquisition module, configured to acquire the evaluation of each doctor in the first doctor list, the ranking of the hospital to which each doctor in the first doctor list belongs, and the hospital to which each doctor in the first doctor list belongs the distance from the patient's current location;
能力权重确定模块，用于根据每个医生的评价，确定每个医生的能力权重；A capability weight determination module, configured to determine the capability weight of each doctor according to the evaluation of each doctor;
第一医院权重确定模块，用于根据每个医生所属的医院的排名，确定每个医生的第一医院权重；The first hospital weight determination module is used to determine the first hospital weight of each doctor according to the ranking of the hospital to which each doctor belongs;
车程权重确定模块，用于根据所述距离，确定每个医生的车程权重；The driving weight determination module is used to determine the driving weight of each doctor according to the distance;
医生推荐模块，用于根据所述第一医生列表中每个医生的所述能力权重、第一医院权重以及车程权重建立智能导诊模型，并利用所述智能导诊模型确定每个医生的推荐指数，并选取最大的所述推荐指数对应的医生作为推荐医生。A doctor recommendation module, configured to establish an intelligent guidance model according to the ability weight, first hospital weight, and drive weight of each doctor in the first doctor list, and use the intelligent guidance model to determine each doctor's recommendation index, and select the doctor corresponding to the largest recommendation index as the recommended doctor.
在一个实施例中，如图4所示，所述多样性增强的智能导诊系统还包括：In one embodiment, as shown in Figure 4, the intelligent diagnosis guidance system with enhanced diversity further includes:
医生筛选模块，用于获取每个医生所属的医院与患者当前位置的距离，判断所述距离是否大于预定距离，若所述距离大于所述预定距离，则将所述距离对应的医生从所述第一医生列表中删除。The doctor screening module is used to obtain the distance between the hospital to which each doctor belongs and the patient's current location, and judge whether the distance is greater than a predetermined distance, and if the distance is greater than the predetermined distance, then select the doctor corresponding to the distance from the Removed from the first doctor list.
在一个实施例中，如图5所示，所述多样性增强的智能导诊系统还包括：In one embodiment, as shown in Figure 5, the intelligent diagnosis guidance system with enhanced diversity further includes:
第二医生列表获取模块，用于按照所述推荐指数从高到底的顺序，对每个所述医生进行排序，得到第二医生列表；The second doctor list acquisition module is used to sort each of the doctors according to the order of the recommendation index from high to bottom to obtain the second doctor list;
第二医院权重确定模块，用于针对所述第二医生列表中的每个医生，获取当前医生所属的医院在对应的医院集合中出现的次数，并计算所述次数与所述医院集合中医院的总个数的商，得到第二医院权重；其中，所述医院集合为所述推荐指数等于或小于当前医生的医生所属的医院的集合；The second hospital weight determination module is used to obtain, for each doctor in the second doctor list, the number of times the hospital to which the current doctor belongs appears in the corresponding hospital set, and calculate the difference between the number of times and the number of times the hospital in the hospital set The quotient of the total number to obtain the weight of the second hospital; wherein, the set of hospitals is the set of hospitals whose recommendation index is equal to or less than that of the current doctor;
所述医生推荐模块，还用于根据所述第二医生列表中每个医生的所述能力权重、第一医院权重、第二医院权重以及车程权重建立目标智能导诊模型，并利用所述目标智能导诊模型确定每个医生的目标推荐指数，并选取最大的所述目标推荐指数对应的医生，得到目标推荐医生。The doctor recommendation module is also used to establish a target intelligent guidance model according to the ability weight, the first hospital weight, the second hospital weight and the driving weight of each doctor in the second doctor list, and use the target The intelligent guidance model determines the target recommendation index of each doctor, and selects the doctor corresponding to the largest target recommendation index to obtain the target recommended doctor.
本发明实施例的方法中的每个步骤是于本发明实施例的系统在智能导诊过程中的步骤一一对应的，本发明实施例的系统在智能导诊过程中每个步骤均包含在本发明实施例的方法中，因此，对于重复的部分，这里不再进行赘述。Each step in the method of the embodiment of the present invention is one-to-one corresponding to the steps in the intelligent diagnosis process of the system in the embodiment of the present invention, and each step in the intelligent diagnosis process of the system in the embodiment of the present invention is included in In the method of the embodiment of the present invention, therefore, the repeated part will not be repeated here.
下面通过再一个具体的实施例对本发明的多样性增强的智能导诊系统进行详细说明。The intelligent diagnosis guidance system with enhanced diversity of the present invention will be described in detail below through yet another specific embodiment.
本实施例的系统包括数据准备模块、智能导诊模型建立模块以及模型求解模块。The system of this embodiment includes a data preparation module, an intelligent diagnosis guidance model building module and a model solving module.
数据准备模块用于获取以下数据：病人的疾病、患者对医生诊断该疾病能力的评价、医院的官方排名、医院与患者的车程。其中，医生能力评价由高到低进行排序，得到医生能力排序列表。The data preparation module is used to obtain the following data: the patient's disease, the patient's evaluation of the doctor's ability to diagnose the disease, the official ranking of the hospital, and the driving distance between the hospital and the patient. Among them, the doctor's ability evaluation is sorted from high to low to obtain a doctor's ability sorted list.
许多现存的医生推荐系统均只依据医生的资历进行推荐，造成大型医院患者数超负荷、患者争抢专家号、医院资源分配不均等现象。为解决这些问题，本实施例在为患者推荐医生时，除了考虑了医生诊断疾病的能力，还考虑了医生能力排序中医院的占比情况、医院的官方排名情况以及患者与医院的车程这些因素，其中医生能力排序中医院的占比情况能直接体现医院拥有的高质量医生的数量情况；医院的官方排名能体现医院的整体服务水平；患者与医院的车程直接影响患者接受救治的便利程度。本发明采用智能导诊模型，最终将得到权衡上述指标的医生推荐序列，具体建模过程如下：Many existing doctor recommendation systems only recommend doctors based on their qualifications, resulting in the overload of patients in large hospitals, patients competing for expert numbers, and uneven distribution of hospital resources. In order to solve these problems, in this embodiment, when recommending doctors to patients, in addition to considering the ability of doctors to diagnose diseases, factors such as the proportion of hospitals in the ranking of doctors' abilities, the official ranking of hospitals, and the driving distance between patients and hospitals are also considered. , in which the proportion of hospitals in the ranking of doctors' abilities can directly reflect the number of high-quality doctors owned by hospitals; the official ranking of hospitals can reflect the overall service level of hospitals; the distance between patients and hospitals directly affects the convenience of patients receiving treatment. The present invention adopts an intelligent guidance model, and finally obtains a doctor recommendation sequence that weighs the above indicators. The specific modeling process is as follows:
医生能力由病人对医生诊断疾病的评价得出，代表着医生诊断疾病的患者满意度及经验。医生能力权重为医生ui诊断疾病vj的评价cij占所有医生诊断疾病vj评价的占比。医生能力权重具体表示为：若医生能力权重越大，则代表医生诊断该种疾病的经验越丰富，患者的满意度越高。The doctor's ability is derived from the patient's evaluation of the doctor's diagnosis of the disease, which represents the patient's satisfaction and experience of the doctor's diagnosis of the disease. Doctor ability weight For doctor u i diagnose disease v j evaluation c ij account for all doctors diagnose disease v j evaluation proportion. The doctor's ability weight is specifically expressed as: The greater the weight of the doctor's ability, the richer the doctor's experience in diagnosing the disease and the higher the patient's satisfaction.
医院权重包括医生能力排序中医院的占比(对应上述二医院权重)和医院官方排名(对应上述一医院权重)情况两个部分。其中，医生能力排序中医院的占比由医院hz的个数占该列表中所有医院数的比例计算得出，该比例是一个动态更新的过程，因为在排序过程中，当医生ui被选择后，在选择下一位医生时，使用的是剔除ui信息后的医生能力排序，以此类推，直至所有的医生均被排序。The hospital weight includes two parts: the proportion of the hospital in the doctor's ability ranking (corresponding to the weight of the second hospital above) and the official ranking of the hospital (corresponding to the weight of the first hospital above). Among them, the proportion of hospitals in the ranking of doctors' ability is determined by the number of hospitals h z of all hospitals in this list The ratio is calculated from the ratio, which is a process of dynamic update, because in the sorting process, when the doctor u i is selected, when selecting the next doctor, the doctor's ability sorting after removing the information of u i is used, And so on until all doctors are sorted.
医院官方排名可以反映该医院的整体医疗服务水平，因此该排名越高，对应的权重应当越大。首先将医生能力排序中的医院与医院官方排名进行对应，rz表示医院hz的官方排名，把医生能力排序中医院官方排名最末的医院排名设为r_lowest，则列表中医院排名的范围为[1,r_lowest]，利用线性递减的关系将医院排名映射到[0,1]上用于表示医院官方排名的权重，则医院官方排名的权重可表示为医院权重综合起来可表示为： The official ranking of a hospital can reflect the overall medical service level of the hospital, so the higher the ranking, the greater the corresponding weight. Firstly, the hospitals in the ranking of doctors’ abilities are corresponding to the official rankings of hospitals, r z represents the official ranking of hospitals h z , and the rank of the hospital with the last official ranking of hospitals in the ranking of doctors’ abilities is set as r_lowest, then the range of hospital rankings in the list is [1, r_lowest], use the linear decreasing relationship to map the hospital ranking to [0,1] to represent the weight of the official ranking of the hospital, then the weight of the official ranking of the hospital can be expressed as The hospital weights can be expressed as follows:
患者在择医过程中，患者与医院的车程是重要的考量因素之一，直接影响了患者对医生的选择，因此本实施例将患者与医院的车程作为权衡多样性的指标之一。患者与医院的车程是通过确定患者位置，并以患者为中心，收集该区域内的所有医院与患者车程小于D的医院列表，并按车程长短进行排序，并与医生能力排序中的医院取交集。当患者与医院的车程越短时，推荐的力度应越大，则对应的权重也应当越大，因此我们使用时间衰减函数f(x)＝(1-x)e-x来刻画车程与权重之间的对应关系，其中，令x∈[0,1]，dpz表示医院hz与患者p之间的车程，即患者与医院之间车程的权重可表示为：In the process of choosing a doctor, the distance between the patient and the hospital is one of the important considerations, which directly affects the patient's choice of doctor. Therefore, in this embodiment, the distance between the patient and the hospital is used as one of the indicators for weighing diversity. The driving distance between the patient and the hospital is determined by determining the location of the patient, and taking the patient as the center, collecting all the hospitals in the area and the list of hospitals whose driving distance between the patient and the patient is less than D, sorting by the length of the driving distance, and intersecting with the hospitals in the doctor's ability sorting . When the distance between the patient and the hospital is shorter, the strength of the recommendation should be greater, and the corresponding weight should also be greater. Therefore, we use the time decay function f(x)=(1-x)e -x to describe the distance between the distance and the weight The corresponding relationship between, where, let x∈[0,1], d pz represents the driving distance between the hospital h z and the patient p, that is, the weight of the driving distance between the patient and the hospital Can be expressed as:
综上，可得智能导诊模型如下：To sum up, the intelligent guidance model can be obtained as follows:
其中，该模型的目标函数为Y表示序列各项权重的乘积，Y值越大，则对应的医生排序越优，即该医生排序越能综合考虑医生能力、医生能力列表中医院的占比、医院的排名以及患者和医院的车程这些方面的因素，因此该模型的目的是要得到Y值最大时所对应的医生排序。模型包含4个约束条件，条件一：dpz≤D用于限定患者与医院的车程范围；其余三个条件分别用于求解医生能力的权重医院的权重和患者与医院车程的权重 Among them, the objective function of the model is Y represents the product of the weights of the sequence. The larger the value of Y, the better the ranking of the corresponding doctors, that is, the more comprehensive the ranking of doctors can take into account the doctor's ability, the proportion of hospitals in the doctor's ability list, the ranking of hospitals, and the relationship between patients and hospitals. Therefore, the purpose of this model is to obtain the ranking of doctors corresponding to the maximum Y value. The model contains 4 constraints. Condition 1: d pz ≤ D is used to limit the driving distance between the patient and the hospital; the remaining three conditions are used to solve the weight of the doctor's ability hospital weight and the weight of the patient-hospital drive
由于列表中的医生个数较多，若求解所有可能的医生排序的目标函数，会导致该模型求解的空间复杂度很高，求解效率低，因此本实施例模型求解模块借鉴谈心算法的思想，通过求解局部最优来降低算法的空间复杂度，具体地：Due to the large number of doctors in the list, if the objective function of all possible doctor rankings is solved, the space complexity of the model solution will be very high, and the solution efficiency will be low. Therefore, the model solution module in this embodiment draws on the idea of the talk algorithm, Reduce the space complexity of the algorithm by solving the local optimum, specifically:
步骤一、利用dpz≤D对医生进行筛选，选择出所有与患者之间车程小于D的医生。Step 1: Use d pz ≤ D to screen doctors, and select all doctors whose distance to the patient is less than D.
步骤二、计算静态权重的值。在医院权重计算过程中，医生能力排序中医院的占比是一个动态更新的过程，因此再次部分暂不考虑此部分的权重，将其余静态部分的权重计算出，暂用代替医院权重，则如下表1中所示计算出每个医生的静态权重：Step 2, calculating the value of the static weight. In the process of hospital weight calculation, the proportion of hospitals in the doctor's ability ranking is a dynamic update process, so the weight of this part is not considered for the time being, and the weight of the rest of the static part is calculated, and temporarily used Instead of hospital weights, then The static weight of each doctor is calculated as shown in Table 1 below:
表1Table 1
根据医生的静态权重进行排序，得到表2：Sort according to the static weights of doctors, and get Table 2:
表2Table 2
步骤三、根据医生的静态权重排序，从排序由高到底对医生进行抽取，计算其动态权重，并将静态权重和动态权重相乘得到最终的权重，并对最终的医生权重进行由高到底的排序。Step 3. According to the static weight ranking of doctors, extract doctors from high to bottom, calculate their dynamic weights, and multiply the static weights and dynamic weights to obtain the final weights, and perform final doctor weights from high to bottom. Sort.
本实施例对医生进行推荐的过程中充分考虑医生能力、医院排名、医院资源分配、医院和患者之间的车程这些因素，实现了患者个性化择医以及医院资源分配不均的问题。计算看诊医生推荐列表过程中，借鉴了谈心算法的思想，降低了算法的空间复杂度，使用动态更新权重的方式提高了所推荐的医生列表的多样性，实现了将患者分流至不同医院的目的。In this embodiment, factors such as doctor's ability, hospital ranking, hospital resource allocation, and the driving distance between the hospital and the patient are fully considered in the process of recommending doctors, so as to realize the problems of personalized medical selection for patients and uneven allocation of hospital resources. In the process of calculating the doctor recommendation list, the idea of the heart-to-heart algorithm is used for reference, which reduces the space complexity of the algorithm, and uses the method of dynamically updating the weight to increase the diversity of the recommended doctor list, and realizes the diversion of patients to different hospitals. Purpose.
需要说明的是，在本文中，诸如第一和第二等之类的关系术语仅仅用来将一个实体或者操作与另一个实体或操作区分开来，而不一定要求或者暗示这些实体或操作之间存在任何这种实际的关系或者顺序。而且，术语“包括”、“包含”或者其任何其他变体意在涵盖非排他性的包含，从而使得包括一系列要素的过程、方法、物品或者设备不仅包括那些要素，而且还包括没有明确列出的其他要素，或者是还包括为这种过程、方法、物品或者设备所固有的要素。在没有更多限制的情况下，由语句“包括一个……”限定的要素，并不排除在包括所述要素的过程、方法、物品或者设备中还存在另外的相同要素。It should be noted that in this article, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply that there is a relationship between these entities or operations. There is no such actual relationship or order between them. Furthermore, the term "comprises", "comprises" or any other variation thereof is intended to cover a non-exclusive inclusion such that a process, method, article or apparatus comprising a set of elements includes not only those elements, but also includes elements not expressly listed. other elements of or also include elements inherent in such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of additional identical elements in the process, method, article or apparatus comprising said element.
以上实施例仅用以说明本发明的技术方案，而非对其限制；尽管参照前述实施例对本发明进行了详细的说明，本领域的普通技术人员应当理解：其依然可以对前述各实施例所记载的技术方案进行修改，或者对其中部分技术特征进行等同替换；而这些修改或者替换，并不使相应技术方案的本质脱离本发明各实施例技术方案的精神和范围。The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: it can still be described in the foregoing embodiments Modifications are made to the recorded technical solutions, or equivalent replacements are made to some of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims (10)
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810077938.1A CN108305675B (en) | 2018-01-26 | 2018-01-26 | Diversity-enhanced intelligent guidance method and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810077938.1A CN108305675B (en) | 2018-01-26 | 2018-01-26 | Diversity-enhanced intelligent guidance method and system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN108305675A true CN108305675A (en) | 2018-07-20 |
| CN108305675B CN108305675B (en) | 2020-10-23 |
Family
ID=62866714
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810077938.1A Active CN108305675B (en) | 2018-01-26 | 2018-01-26 | Diversity-enhanced intelligent guidance method and system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108305675B (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111554387A (en) * | 2020-04-26 | 2020-08-18 | 医渡云（北京）技术有限公司 | Doctor information recommendation method and device, storage medium and electronic equipment |
| CN112614578A (en) * | 2020-12-29 | 2021-04-06 | 平安国际智慧城市科技股份有限公司 | Doctor intelligent recommendation method and device, electronic equipment and storage medium |
| CN114864062A (en) * | 2022-03-14 | 2022-08-05 | 北京融威众邦电子技术有限公司 | A kind of medical intelligent triage method and triage system |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103914797A (en) * | 2013-01-04 | 2014-07-09 | 华为技术有限公司 | Registration scheme recommending system and method |
| US20150019247A1 (en) * | 2013-07-15 | 2015-01-15 | Navigo Health Inc. | Doctor-Selection-Facilitating Method |
| WO2016126868A1 (en) * | 2015-02-03 | 2016-08-11 | Dignity Health | System and method for coordinating physician matching |
| CN105868564A (en) * | 2016-04-05 | 2016-08-17 | 苏州联康网络有限公司 | Disease treatment hospital recommendation system |
| CN106227880A (en) * | 2016-08-01 | 2016-12-14 | 挂号网（杭州）科技有限公司 | Doctor searches for the implementation method of recommendation |
| CN106339578A (en) * | 2016-08-17 | 2017-01-18 | 秦皇岛市第医院 | Multi-strategy integration hospital patient registration recommendation method |
| CN106846210A (en) * | 2017-03-11 | 2017-06-13 | 广东省中医院 | A kind of ward mate's commending system based on patient's medical information |
| CN106952020A (en) * | 2017-02-25 | 2017-07-14 | 深圳市前海安测信息技术有限公司 | Doctor grading commending system and method for the medical information based on webpage |
| CN106965193A (en) * | 2017-03-31 | 2017-07-21 | 旗瀚科技有限公司 | A kind of intelligent robot diagnosis guiding system |
| CN107580038A (en) * | 2017-08-28 | 2018-01-12 | 江西博瑞彤芸科技有限公司 | A kind of expert recommendation method and system |
-
2018
- 2018-01-26 CN CN201810077938.1A patent/CN108305675B/en active Active
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103914797A (en) * | 2013-01-04 | 2014-07-09 | 华为技术有限公司 | Registration scheme recommending system and method |
| US20150019247A1 (en) * | 2013-07-15 | 2015-01-15 | Navigo Health Inc. | Doctor-Selection-Facilitating Method |
| WO2016126868A1 (en) * | 2015-02-03 | 2016-08-11 | Dignity Health | System and method for coordinating physician matching |
| CN105868564A (en) * | 2016-04-05 | 2016-08-17 | 苏州联康网络有限公司 | Disease treatment hospital recommendation system |
| CN106227880A (en) * | 2016-08-01 | 2016-12-14 | 挂号网（杭州）科技有限公司 | Doctor searches for the implementation method of recommendation |
| CN106339578A (en) * | 2016-08-17 | 2017-01-18 | 秦皇岛市第医院 | Multi-strategy integration hospital patient registration recommendation method |
| CN106952020A (en) * | 2017-02-25 | 2017-07-14 | 深圳市前海安测信息技术有限公司 | Doctor grading commending system and method for the medical information based on webpage |
| CN106846210A (en) * | 2017-03-11 | 2017-06-13 | 广东省中医院 | A kind of ward mate's commending system based on patient's medical information |
| CN106965193A (en) * | 2017-03-31 | 2017-07-21 | 旗瀚科技有限公司 | A kind of intelligent robot diagnosis guiding system |
| CN107580038A (en) * | 2017-08-28 | 2018-01-12 | 江西博瑞彤芸科技有限公司 | A kind of expert recommendation method and system |
Non-Patent Citations (2)
| Title |
|---|
| 李清明，段富: "医疗信息服务应用中情境感知推荐的研究与实现", 《现代电子技术》 * |
| 李清明: "基于情境感知的就医信息推荐系统的设计与实现", 《太原理工大学》 * |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111554387A (en) * | 2020-04-26 | 2020-08-18 | 医渡云（北京）技术有限公司 | Doctor information recommendation method and device, storage medium and electronic equipment |
| CN112614578A (en) * | 2020-12-29 | 2021-04-06 | 平安国际智慧城市科技股份有限公司 | Doctor intelligent recommendation method and device, electronic equipment and storage medium |
| CN112614578B (en) * | 2020-12-29 | 2023-06-09 | 深圳平安智慧医健科技有限公司 | Doctor intelligent recommendation method and device, electronic equipment and storage medium |
| CN114864062A (en) * | 2022-03-14 | 2022-08-05 | 北京融威众邦电子技术有限公司 | A kind of medical intelligent triage method and triage system |
| CN114898851A (en) * | 2022-03-14 | 2022-08-12 | 北京融威众邦电子技术有限公司 | Intelligent diagnosis guiding method and system |
Also Published As
| Publication number | Publication date |
|---|---|
| CN108305675B (en) | 2020-10-23 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109102867A (en) | The intelligent diagnosis method and intelligent diagnosis platform of tele-medicine | |
| CN107463769A (en) | A kind of medical receipt and payment expense management method and system based on medical diagnosis on disease associated packets | |
| CN110428890A (en) | A kind of medical treatment hospital guide method and system | |
| CN108305675B (en) | Diversity-enhanced intelligent guidance method and system | |
| CN114864062A (en) | A kind of medical intelligent triage method and triage system | |
| CN111640489A (en) | Method and device for recommending doctors in Internet diagnosis and treatment | |
| Elleuch et al. | Real-time prediction of COVID-19 patients health situations using Artificial Neural Networks and Fuzzy Interval Mathematical modeling | |
| US8321238B2 (en) | Method and system for automatically associating an assessor with a medical assessment task | |
| CN106485061A (en) | A kind of life risk assessment and the method for building up of improvement system | |
| CN112200411B (en) | Nursing human resource scheduling system giving consideration to patient and caregiver appeal | |
| Castro et al. | Sequential test selection in the analysis of abdominal pain | |
| CN114255855A (en) | Medical grading diagnosis and treatment registration management method and system based on artificial intelligence | |
| CN113066542A (en) | One-stop type differential physical examination process management system | |
| CN118039104A (en) | Multi-inspection item recommendation method, device, equipment and readable storage medium | |
| CN111145888B (en) | Outpatient intelligent diagnosis guiding method based on analytic hierarchy process | |
| CN111326227B (en) | Case report generation method, device, equipment and storage medium | |
| Farion et al. | Rough set methodology in clinical practice: Controlled hospital trial of the MET system | |
| EP3111350A1 (en) | Method and system for assisting determination of a medical condition | |
| CN116822910B (en) | Intelligent triage queuing management system for hospitals | |
| CN118448049B (en) | Grouping distribution management system and method based on different chronic diseases | |
| Golsefid et al. | Improving the performance of a medical imaging center through simulation and fuzzy DEA | |
| CN111462880A (en) | System and method for medical service evaluation | |
| CN116313017B (en) | Public health dispatching integrated platform under cloud computing | |
| Mooney et al. | World Health Report 2000: challenging a world view | |
| CN119361113A (en) | Social worker active intervention methods and systems |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |