An intelligent registration management system based on big data

Abstract

The present invention discloses an intelligent registration management system based on big data, which belongs to the technical field of big data. The symptom query module is used to detect whether a user has queried disease symptoms through the network, the data processing module is used to analyze and calculate the probability of the user going to the hospital for treatment according to historical big data, the registration module is used to determine the registration situation, and the reminder notification module is used to remind the user of the current registration status and feedback the user's viewing situation. The application determines whether to perform automatic registration according to the user's browsing of disease symptoms, and, after automatic registration, analyzes whether the user is sure to register according to the user's actual situation and historical registration big data, so that the user can register in advance when there is a possibility of registration for treatment to avoid missing the registration time. At the same time, it is determined through the user's feedback whether to convert the pending number into a confirmed registration to avoid the pending number occupying medical resources.

Description

Technical Field

[0001] The present invention relates to the technical field of big data, and in particular to an intelligent registration management system based on big data. Background Art

[0002] With the continuous development of society and the continuous advancement of science and technology, the medical level in our country is also constantly improving. Today, young people are also living a fast-paced life in the ever-developing science and technology. However, the result of the fast-paced life is that many young people today are in a sub-healthy state. Even if they feel unwell and go to the hospital for examination and treatment, the large number of medical examinations will lead to the following problems:

[0003] 1. It is difficult to register. You may rush to the hospital and find that the hospital's morning registration is full. You need to wait until the afternoon to register for treatment, which wastes a lot of time and causes congestion in the hospital.

[0004] 2. When registering online, patients may not go to the hospital for treatment in time after registration, resulting in a large number of registrations but a small number of patients, which leads to a waste of medical resources;

[0005] Therefore, people urgently need an intelligent registration management system based on big data to solve the above problems. Summary of the invention

[0006] The purpose of the present invention is to provide an intelligent registration management system based on big data to solve the problems raised in the prior art.

[0007] To achieve the above object, the present invention provides the following technical solutions: an intelligent registration management system based on big data, the system comprising a symptom query module, a data processing module, a registration module and a reminder notification module;

[0008] The symptom query module is used to detect whether the user has queried the symptoms of the disease through the network, so as to determine whether the user has the need to register for medical treatment. The data processing module is used to analyze and calculate the probability of the user going to the hospital for medical treatment based on historical big data, so as to determine whether to automatically register in advance to save the user's time. The registration module is used to determine the registration status and adjust the registration status. The reminder notification module is used to remind the user of the current registration status and feedback the user's viewing status;

[0009] The system also includes a personal cloud, which is used to store and record the user's historical medical data;

[0010] The output end of the symptom query module is electrically connected to the input end of the data processing module and the registration module, the output end of the personal cloud is electrically connected to the input end of the data processing module, the output end of the data processing module is electrically connected to the input end of the registration module, the output end of the registration module is electrically connected to the input end of the reminder notification module, and the output end of the reminder notification module is electrically connected to the input end of the registration module.

[0011] According to the above technical solution, the symptom query module includes a storage database, a keyword input unit, a keyword extraction unit, a keyword comparison unit and a time recording unit;

[0012] The keyword input unit is used for a user to input keywords for querying disease symptoms, the storage database is used to store the keywords input by the keyword input unit, the keyword extraction unit is used to extract keywords from the storage database, the keyword comparison unit is used to compare the keywords extracted by the keyword extraction unit with the keywords input by the keyword input unit, so as to confirm the user's disease symptoms and the department to be registered, and the time recording unit is used to record the time T for the user to browse the queried disease symptoms;

[0013] The output end of the storage database is electrically connected to the input end of the keyword extraction unit, the output ends of the keyword input unit and the keyword extraction unit are electrically connected to the input end of the keyword comparison unit, the output end of the time recording unit is electrically connected to the input end of the keyword comparison unit, and the output end of the keyword comparison unit is electrically connected to the input end of the data analysis module.

[0014] According to the above technical solution, the data processing module includes a data retrieval unit, a data aggregation unit and a data calculation unit;

[0015] The data retrieval unit is used to retrieve the registration and medical treatment data from the personal cloud, the data aggregation unit is used to aggregate the data retrieved by the data retrieval unit, and the data calculation unit is used to calculate the probability of going to the hospital for medical treatment based on the data retrieved by the data retrieval unit;

[0016] The output end of the personal cloud is electrically connected to the input end of the data retrieval unit, the output end of the keyword comparison unit is electrically connected to the input end of the data retrieval unit, the output end of the data retrieval unit is electrically connected to the input end of the data aggregation unit, the output end of the data aggregation unit is electrically connected to the input end of the data calculation unit, and the output end of the data calculation unit is electrically connected to the input end of the registration module.

[0017] According to the above technical solution, the data retrieval unit retrieves the number of times m that the user inquires about the symptoms of the disease from the personal cloud, and the data retrieval unit also retrieves the number of times n that the user registers for medical treatment from the personal cloud;

[0018] The data aggregation unit collects the number of times m the user has historically searched for symptoms of a disease and the browsing time set T 集 ={T1, T2, T3, ..., T m};

[0019] The data calculation unit calculates the probability P between the number of normal condition inquiries m and the number of registered visits n according to the following formula:

[0020]

[0021] The set T of the number of times m that a user has historically searched for symptoms of a disease and the length of time they have been browsing is sorted according to the following formula:

[0022]

[0023] when When , put Tk before Ti;

[0024] when When , put Tk after Ti;

[0025] when When , bind Tk and Ti and then sort;

[0026] Get the sorted browsing time set T 排 ={T1, T2, T3, ..., T n , ..., T m};

[0027] According to the set T 排 It is concluded that when browsing time T ≥ T n When the user visits the hospital, he or she will register for treatment.

[0028] According to the above technical solution, the registration module includes a manual registration unit, an automatic registration unit, an automatic cancellation unit, a manual cancellation unit, a registration pending unit, and a registration confirmation unit;

[0029] The manual registration unit is used for users to manually register, the automatic registration unit is used for automatically registering according to the calculation processing results of the data processing module and the keywords extracted by the keyword extraction unit, so as to avoid users forgetting to register and failing to register in time, thus missing the consultation time, the pending registration unit is used for making the result of the registration of the automatic registration unit pending, waiting for the user to confirm the registration, which is called the pending number, the automatic cancellation unit is used for automatically canceling the registration according to the reminder notification result of the reminder notification module, the manual cancellation unit is used for users to manually cancel the pending number after the registration of the automatic registration unit, and the registration confirmation unit is used for users to confirm the pending number in the pending registration unit;

[0030] The output ends of the keyword extraction unit and the data calculation unit are electrically connected to the input end of the automatic registration unit, the output end of the automatic registration unit is electrically connected to the input end of the registration pending unit, the output end of the registration pending unit is electrically connected to the input ends of the automatic cancellation unit and the registration confirmation unit, and the output end of the manual registration unit is electrically connected to the input end of the registration confirmation unit.

[0031] According to the above technical solution, the reminder notification module includes a message push unit and a review feedback unit;

[0032] The message push unit is used to push a message to the user after the automatic registration unit automatically registers, reminding the user that the system automatically performs automatic registration processing according to the condition symptom query keyword, and the reference feedback unit is used to feedback whether the user has consulted the information pushed by the message push unit, and feedback whether the user has manually cancelled the pending number by querying the message pushed by the message push unit;

[0033] The output end of the pending registration unit is electrically connected to the input end of the message push unit, the output end of the message push unit is electrically connected to the input end of the reference feedback unit, the output end of the reference feedback unit is electrically connected to the input end of the pending registration unit, and the output end of the reference feedback unit is electrically connected to the input end of the manual cancellation unit.

[0034] According to the above technical solution, after the data calculation unit calculates;

[0035] When the user searches for symptoms for a certain period of time T≥T n When the automatic registration unit performs automatic registration, the message push unit pushes the automatic registration information to the user client, and the review feedback unit feedbacks whether the user has viewed the push message. When the feedback result is that the user has viewed the push message, the time recording unit starts timing;

[0036] When the time t1 recorded by the time recording unit is ≥ a and the user has not confirmed the pending number through the registration confirmation unit or has not canceled the pending number through the manual cancellation unit, the message push pushes the registration information to the user client again, and the review feedback unit feedbacks whether the user has viewed the pushed message. When the feedback result is that the user has viewed the pushed message, the time recording unit starts timing;

[0037] When the time t2 recorded by the time recording unit is ≥a and the user has not confirmed the pending number through the registration confirmation unit or has not canceled the pending number through the manual cancellation unit, the automatic cancellation unit cancels the pending number in the registration pending unit, where a represents the set time threshold.

[0038] According to the above technical solution, when the keyword input by the keyword input unit does not appear in the storage database, the message push unit pushes a message to the user, asking the user whether to add the keyword to the storage database for storage to facilitate later comparison.

[0039] According to the above technical solution, the data retrieval unit is also used to retrieve the time point information of the user going to the hospital for medical treatment from the personal cloud, with "0" representing the working day and "1" representing the holiday. The data aggregation unit forms a set of time point information {0, 1, 1, ..., 1}, and the data aggregation unit counts the total number of visits as n times, with n0 visits on working days and n1 visits on holidays;

[0040] The probabilities of visiting on weekdays and holidays are calculated using the following formula:

[0041]

[0042] in, represents the probability of visiting a doctor on weekdays, represents the probability of visiting a doctor on holidays;

[0043] when or When , the automatic registration unit selects registration on holidays according to the keywords browsed by the user, where b represents the set probability threshold.

[0044] According to the above technical solution, the intelligent registration management system also includes an evaluation module, which is used to confirm the user's automatic registration success rate based on the registration number X of the automatic registration unit and the confirmed registration number Y of the registration confirmation unit.

[0045]

[0046] when When the automatic registration unit does not perform automatic registration, the success rate of automatic registration is low, which will cause a waste of medical resources.

[0047] Compared with the prior art, the present invention has the following beneficial effects:

[0048] 1. This application determines whether to automatically register based on the user's browsing of the symptoms of the disease. After the automatic registration, the application determines whether the user is sure to register based on the user's actual situation and historical registration big data analysis, so that the user can register in advance if there is a possibility of registering for a medical treatment, which can save the user's time and avoid missing the registration time. At the same time, the application determines whether to convert the pending number into a confirmed registration based on the user's feedback to avoid the pending number occupying medical resources.

[0049] 2. This application uses the analysis of historical big data as a limiting condition, so that the final success rate of automatic registration is higher. In addition, based on the analysis of the success rate of automatic registration based on historical big data, when the success rate of automatic registration is low, automatic registration is canceled to reduce the occupation of medical resources and make the management of registration more reasonable.

[0050] 3. This application provides timely feedback to users after they have consulted the automatic registration information based on the review feedback unit, so that the user's true thoughts can be known in a timely manner, avoiding the long pending registration time that results in a long occupation of medical registration resources, so that medical resources can be reasonably allocated and utilized. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] Figure 1 This is a schematic diagram of the module composition of an intelligent registration management system based on big data in the present invention;

[0052] Figure 2 This is a schematic diagram of module connections of an intelligent registration management system based on big data according to the present invention;

[0053] Figure 3 This is a unit connection diagram of an intelligent registration management system based on big data in the present invention. DETAILED DESCRIPTION

[0054] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0055] like Figures 1 to 3 As shown, an intelligent registration management system based on big data includes a symptom query module, a data processing module, a registration module and a reminder notification module;

[0056] The symptom query module is used to detect whether the user has queried the symptoms of the disease through the network, so as to determine whether the user has the need to register for medical treatment. The data processing module is used to analyze and calculate the probability of the user going to the hospital for medical treatment based on historical big data, so as to determine whether to automatically register in advance to save the user's time. The registration module is used to determine the registration status and adjust the registration status. The reminder notification module is used to remind the user of the current registration status and feedback the user's viewing status;

[0057] The system also includes a personal cloud, which is used to store and record the user's historical medical data;

[0058] The output end of the symptom query module is electrically connected to the input end of the data processing module and the registration module, the output end of the personal cloud is electrically connected to the input end of the data processing module, the output end of the data processing module is electrically connected to the input end of the registration module, the output end of the registration module is electrically connected to the input end of the reminder notification module, and the output end of the reminder notification module is electrically connected to the input end of the registration module.

[0059] The symptom query module includes a storage database, a keyword input unit, a keyword extraction unit, a keyword comparison unit and a time recording unit;

[0060] The keyword input unit is used for a user to input keywords for querying disease symptoms, the storage database is used to store the keywords input by the keyword input unit, the keyword extraction unit is used to extract keywords from the storage database, the keyword comparison unit is used to compare the keywords extracted by the keyword extraction unit with the keywords input by the keyword input unit, so as to confirm the user's disease symptoms and the department to be registered, and the time recording unit is used to record the time T for the user to browse the queried disease symptoms;

[0061] The output end of the storage database is electrically connected to the input end of the keyword extraction unit, the output ends of the keyword input unit and the keyword extraction unit are electrically connected to the input end of the keyword comparison unit, the output end of the time recording unit is electrically connected to the input end of the keyword comparison unit, and the output end of the keyword comparison unit is electrically connected to the input end of the data analysis module.

[0062] The data processing module includes a data retrieval unit, a data aggregation unit and a data calculation unit;

[0063] The data retrieval unit is used to retrieve the registration and medical treatment data from the personal cloud, the data aggregation unit is used to aggregate the data retrieved by the data retrieval unit, and the data calculation unit is used to calculate the probability of going to the hospital for medical treatment based on the data retrieved by the data retrieval unit;

[0064] The output end of the personal cloud is electrically connected to the input end of the data retrieval unit, the output end of the keyword comparison unit is electrically connected to the input end of the data retrieval unit, the output end of the data retrieval unit is electrically connected to the input end of the data aggregation unit, the output end of the data aggregation unit is electrically connected to the input end of the data calculation unit, and the output end of the data calculation unit is electrically connected to the input end of the registration module.

[0065] The data retrieval unit retrieves the number of times m that the user inquires about the symptoms of the disease from the personal cloud, and the data retrieval unit also retrieves the number of times n that the user registers for medical treatment from the personal cloud;

[0066] The data aggregation unit collects the number of times m the user has historically searched for symptoms of a disease and the browsing time set T 集 ={T1, T2, T3, ..., T m};

[0067] The data calculation unit calculates the probability P between the number of normal condition inquiries m and the number of registered visits n according to the following formula:

[0068]

[0069] The set T of the number of times m that a user has historically searched for symptoms of a disease and the length of time they have been browsing is sorted according to the following formula:

[0070]

[0071] when When , put Tk before Ti;

[0072] when When , put Tk after Ti;

[0073] when When , bind Tk and Ti and then sort;

[0074] Get the sorted browsing time set T 排 ={T1, T2, T3, ..., T n , ..., T m};

[0075] According to the set T 排 It is concluded that when browsing time T ≥ T n When the user visits the hospital, he or she will register for treatment.

[0076] The registration module includes a manual registration unit, an automatic registration unit, an automatic cancellation unit, a manual cancellation unit, a registration pending unit, and a registration confirmation unit;

[0077] The manual registration unit is used for users to manually register, the automatic registration unit is used for automatically registering according to the calculation processing results of the data processing module and the keywords extracted by the keyword extraction unit, so as to avoid users forgetting to register and failing to register in time, thus missing the consultation time, the pending registration unit is used for making the result of the registration of the automatic registration unit pending, waiting for the user to confirm the registration, which is called the pending number, the automatic cancellation unit is used for automatically canceling the registration according to the reminder notification result of the reminder notification module, the manual cancellation unit is used for users to manually cancel the pending number after the registration of the automatic registration unit, and the registration confirmation unit is used for users to confirm the pending number in the pending registration unit;

[0078] The output ends of the keyword extraction unit and the data calculation unit are electrically connected to the input end of the automatic registration unit, the output end of the automatic registration unit is electrically connected to the input end of the registration pending unit, the output end of the registration pending unit is electrically connected to the input ends of the automatic cancellation unit and the registration confirmation unit, and the output end of the manual registration unit is electrically connected to the input end of the registration confirmation unit.

[0079] The reminder notification module includes a message push unit and a review feedback unit;

[0080] The message push unit is used to push a message to the user after the automatic registration unit automatically registers, reminding the user that the system automatically performs automatic registration processing according to the condition symptom query keyword, and the reference feedback unit is used to feedback whether the user has consulted the information pushed by the message push unit, and feedback whether the user has manually cancelled the pending number by querying the message pushed by the message push unit;

[0081] The output end of the pending registration unit is electrically connected to the input end of the message push unit, the output end of the message push unit is electrically connected to the input end of the reference feedback unit, the output end of the reference feedback unit is electrically connected to the input end of the pending registration unit, and the output end of the reference feedback unit is electrically connected to the input end of the manual cancellation unit.

[0082] After the data calculation unit calculates;

[0083] When the user searches for symptoms for a certain period of time T≥T n When the automatic registration unit performs automatic registration, the message push unit pushes the automatic registration information to the user client, and the review feedback unit feedbacks whether the user has viewed the push message. When the feedback result is that the user has viewed the push message, the time recording unit starts timing;

[0084] When the time t1 recorded by the time recording unit is ≥ a and the user has not confirmed the pending number through the registration confirmation unit or has not canceled the pending number through the manual cancellation unit, the message push pushes the registration information to the user client again, and the review feedback unit feedbacks whether the user has viewed the pushed message. When the feedback result is that the user has viewed the pushed message, the time recording unit starts timing;

[0085] When the time t2 recorded by the time recording unit is ≥a and the user has not confirmed the pending number through the registration confirmation unit or has not canceled the pending number through the manual cancellation unit, the automatic cancellation unit cancels the pending number in the registration pending unit, where a represents the set time threshold.

[0086] When the keyword input by the keyword input unit does not appear in the storage database, the message push unit pushes a message to the user, asking the user whether to add the keyword into the storage database for storage, so as to facilitate later comparison.

[0087] The data retrieval unit is also used to retrieve the time point information of the user going to the hospital for medical treatment from the personal cloud, with "0" representing weekdays and "1" representing holidays. The data aggregation unit forms a set of time point information {0, 1, 1, ..., 1}, and the data aggregation unit counts the total number of visits as n times, with visits on weekdays as n0 times and visits on holidays as n1 times;

[0088] The probabilities of visiting on weekdays and holidays are calculated using the following formula:

[0089]

[0090] in, represents the probability of visiting a doctor on weekdays, represents the probability of visiting a doctor on holidays;

[0091] when or When , the automatic registration unit selects registration on holidays according to the keywords browsed by the user, where b represents the set probability threshold.

[0092] The intelligent registration management system also includes an evaluation module, which is used to confirm the user's automatic registration success rate based on the registration times X of the automatic registration unit and the registration confirmation times Y of the registration confirmation unit.

[0093]

[0094] when When the automatic registration unit does not perform automatic registration, the success rate of automatic registration is low, which will cause a waste of medical resources.

[0095] Example:

[0096] The data retrieval unit retrieves the number of times the user inquired about the symptoms of the disease 10 times from the personal cloud, and the data retrieval unit also retrieves the number of times the user registered for medical treatment 6 times from the personal cloud;

[0097] The data aggregation unit collects the number of times m the user has historically searched for symptoms of a disease and the browsing time set T 集 ={3,5,4,3,4,3,8,6,6,4};

[0098] The data calculation unit calculates the probability P between the number of normal condition inquiries m and the number of registered visits n according to the following formula:

[0099]

[0100] The set T of the number of times m that a user has historically searched for symptoms of a disease and the length of time they have been browsing is sorted according to the following formula:

[0101]

[0102] when When , put Tk before Ti;

[0103] when When , put Tk after Ti;

[0104] when When , bind Tk and Ti and then sort;

[0105] Get the sorted browsing time set T 排 ={8,6,6,5,4,4,4,3,3,3};

[0106] According to the set T 排 It is concluded that when browsing time T ≥ T n =4, the user will go to the hospital to register for treatment.

[0107] After the data calculation unit calculates;

[0108] When the user searches for symptoms for a certain period of time T≥T n =4, the automatic registration unit performs automatic registration, the message push unit pushes the automatic registration information to the user client, the review feedback unit feedbacks whether the user has viewed the push message, and when the feedback result is that the user has viewed the push message, the time recording unit starts timing;

[0109] When the time recorded by the time recording unit is t1≥a=30min and the user does not confirm the pending number through the registration confirmation unit or does not cancel the pending number through the manual cancellation unit, the message push pushes the registration information to the user client again, and the review feedback unit feedbacks whether the user has viewed the pushed message. When the feedback result is that the user has viewed the pushed message, the time recording unit starts timing;

[0110] When the time t2 recorded by the time recording unit is ≥a=30min and the user has not confirmed the pending number through the registration confirmation unit or has not canceled the pending number through the manual cancellation unit, the automatic cancellation unit cancels the pending number in the registration pending unit, where a=30min represents the set time threshold.

[0111] When the keyword input by the keyword input unit does not appear in the storage database, the message push unit pushes a message to the user, asking the user whether to add the keyword into the storage database for storage, so as to facilitate later comparison.

[0112] The data retrieval unit is also used to retrieve the time point information of the user going to the hospital for medical treatment from the personal cloud, with "0" representing weekdays and "1" representing holidays. The data aggregation unit forms a set of time point information {0, 1, 1, 1, 1, 1}, and the data aggregation unit counts a total of 6 visits, with n0 = 5 visits on weekdays and n1 = 1 visit on holidays;

[0113] The probabilities of visiting on weekdays and holidays are calculated using the following formula:

[0114]

[0115] in, represents the probability of visiting a doctor on weekdays, represents the probability of visiting a doctor on holidays;

[0116] when or When the automatic registration unit selects to register on holidays according to the keywords browsed by the user, b=80% represents the set probability threshold.

[0117] The intelligent registration management system also includes an evaluation module, which is used to confirm the user's automatic registration success rate based on the registration times X=12 times of the automatic registration unit and the registration confirmation times Y=5 times of the registration confirmation unit.

[0118]

[0119] when When the automatic registration unit does not perform automatic registration, the success rate of automatic registration is low, which will cause a waste of medical resources;

[0120] In this embodiment The automatic registration unit will continue to perform automatic registration.

[0121] It will be apparent to those skilled in the art that the invention is not limited to the details of the exemplary embodiments described above and that the invention can be implemented in other specific forms without departing from the spirit or essential features of the invention. Therefore, the embodiments should be considered exemplary and non-limiting in all respects, and the scope of the invention is defined by the appended claims rather than the foregoing description, and it is intended that all variations falling within the meaning and scope of the equivalent elements of the claims be included in the invention. Any reference numeral in a claim should not be considered as limiting the claim to which it relates.

Claims

1. An intelligent registration management system based on big data, characterized by: The system includes a symptom query module, a data processing module, a registration module and a reminder notification module; The symptom query module is used to detect whether the user has queried the symptoms of the disease through the network, the data processing module is used to analyze and calculate the probability of the user going to the hospital for treatment based on historical big data, the registration module is used to determine the registration status and adjust the registration status, and the reminder notification module is used to remind the user of the current registration status and feedback the user's viewing status; The system also includes a personal cloud, which is used to store and record the user's historical medical data; The output end of the symptom query module is electrically connected to the input end of the data processing module and the registration module, the output end of the personal cloud is electrically connected to the input end of the data processing module, the output end of the data processing module is electrically connected to the input end of the registration module, the output end of the registration module is electrically connected to the input end of the reminder notification module, and the output end of the reminder notification module is electrically connected to the input end of the registration module; The symptom query module includes a storage database, a keyword input unit, a keyword extraction unit, a keyword comparison unit and a time recording unit; The keyword input unit is used for a user to input keywords for querying disease symptoms, the storage database is used to store the keywords input by the keyword input unit, the keyword extraction unit is used to extract keywords from the storage database, the keyword comparison unit is used to compare the keywords extracted by the keyword extraction unit with the keywords input by the keyword input unit, and the time recording unit is used to record the time length T of the user browsing the queried disease symptoms; The output end of the storage database is electrically connected to the input end of the keyword extraction unit, the output ends of the keyword input unit and the keyword extraction unit are electrically connected to the input end of the keyword comparison unit, the output end of the time recording unit is electrically connected to the input end of the keyword comparison unit, and the output end of the keyword comparison unit is electrically connected to the input end of the data analysis module; The data processing module includes a data retrieval unit, a data aggregation unit and a data calculation unit; The data retrieval unit is used to retrieve the registration and medical treatment data from the personal cloud, the data aggregation unit is used to aggregate the data retrieved by the data retrieval unit, and the data calculation unit is used to calculate the probability of going to the hospital for medical treatment based on the data retrieved by the data retrieval unit; The output end of the personal cloud is electrically connected to the input end of the data retrieval unit, the output end of the keyword comparison unit is electrically connected to the input end of the data retrieval unit, the output end of the data retrieval unit is electrically connected to the input end of the data aggregation unit, the output end of the data aggregation unit is electrically connected to the input end of the data calculation unit, and the output end of the data calculation unit is electrically connected to the input end of the registration module; The data retrieval unit retrieves the number of times the user inquires about the symptoms of the disease from the personal cloud, m. The data retrieval unit also retrieves the number of times the user has registered for medical treatment n from the personal cloud; The data aggregation unit collects the number of times m the user has historically searched for symptoms of a disease and the browsing time set T 集 ={T1, T2, T3, ..., T m }; The data calculation unit calculates the probability P between the number of normal condition inquiries m and the number of registered visits n according to the following formula: The set T of the number of times m that a user has historically searched for symptoms of a disease and the length of time they have been browsing is sorted according to the following formula: k∈[1,m],i∈[1,m]; when When , put Tk before Ti; when When , put Tk after Ti; when When , bind Tk and Ti and then sort; Get the sorted browsing time set T 排 ={T1, T2, T3, ..., T n , ..., T m }; According to the set T 排 It is concluded that when browsing time T ≥ T n When the user goes to the hospital to register for treatment; The registration module includes a manual registration unit, an automatic registration unit, an automatic cancellation unit, a manual cancellation unit, a registration pending unit, and a registration confirmation unit; The manual registration unit is used for users to manually register, the automatic registration unit is used for automatically registering according to the calculation processing result of the data processing module and the keywords extracted by the keyword extraction unit, the pending registration unit is used to make the result of the registration of the automatic registration unit pending, waiting for the user to confirm the registration, which is called the pending number, the automatic cancellation unit is used to automatically cancel the registration according to the reminder notification result of the reminder notification module, the manual cancellation unit is used for users to manually cancel the pending number after the registration of the automatic registration unit, and the registration confirmation unit is used for users to confirm the pending number in the pending registration unit; The output ends of the keyword extraction unit and the data calculation unit are electrically connected to the input end of the automatic registration unit, the output end of the automatic registration unit is electrically connected to the input end of the pending registration unit, the output end of the pending registration unit is electrically connected to the input ends of the automatic cancellation unit and the registration determination unit, and the output end of the manual registration unit is electrically connected to the input end of the registration confirmation unit; The reminder notification module includes a message push unit and a review feedback unit; The message push unit is used to push a message to the user after the automatic registration unit automatically registers, reminding the user that the system automatically performs automatic registration processing according to the condition symptom query keyword, and the reference feedback unit is used to feedback whether the user has consulted the information pushed by the message push unit, and feedback whether the user has manually cancelled the pending number by querying the message pushed by the message push unit; The output end of the pending registration unit is electrically connected to the input end of the message push unit, the output end of the message push unit is electrically connected to the input end of the reference feedback unit, the output end of the reference feedback unit is electrically connected to the input end of the pending registration unit, and the output end of the reference feedback unit is electrically connected to the input end of the manual cancellation unit; After the data calculation unit calculates; When the user searches for symptoms for a certain period of time T≥T n When the automatic registration unit performs automatic registration, the message push unit pushes the automatic registration information to the user client, and the review feedback unit feedbacks whether the user has viewed the push message. When the feedback result is that the user has viewed the push message, the time recording unit starts timing; When the time t1 recorded by the time recording unit is ≥ a and the user has not confirmed the pending number through the registration confirmation unit or has not canceled the pending number through the manual cancellation unit, the message push pushes the registration information to the user client again, and the review feedback unit feedbacks whether the user has viewed the pushed message. When the feedback result is that the user has viewed the pushed message, the time recording unit starts timing; When the time t2 recorded by the time recording unit is ≥ a and the user has not confirmed the pending number through the registration confirmation unit or has not cancelled the pending number through the manual cancellation unit, the automatic cancellation unit cancels the pending number in the registration pending unit, where a represents the set time threshold; When the keyword input by the keyword input unit does not appear in the storage database, the message push unit pushes a message to the user, asking the user whether to add the keyword to the storage database for storage, so as to facilitate later comparison; The data retrieval unit is also used to retrieve the time point information of the user going to the hospital for medical treatment from the personal cloud, with "0" representing the working day and "1" representing the holiday. The data aggregation unit forms a set of time point information {0, 1, 1, ..., 1}, and the data aggregation unit counts the total number of visits as n times, with visits on working days as n0 times and visits on holidays as n1 times; The probabilities of visiting on weekdays and holidays are calculated using the following formula: in, represents the probability of visiting a doctor on weekdays, represents the probability of visiting a doctor on holidays; when or When , the automatic registration unit selects to register on holidays according to the keywords browsed by the user, where b represents the set probability threshold; The intelligent registration management system also includes an evaluation module, which is used to confirm the user's automatic registration success rate based on the registration times X of the automatic registration unit and the registration confirmation times Y of the registration confirmation unit. when , the automatic registration unit does not perform automatic registration.

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