CN113436711A - Western medicine inquiry system based on big data platform - Google Patents
Western medicine inquiry system based on big data platform Download PDFInfo
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Abstract
The invention discloses a western medicine inquiry system based on a big data platform, which comprises a user login module, an image acquisition module, a data receiving module, a data processing module, an illness state library, a master control module, a queuing reminding module, an illness state uploading module, a registration recommending module, a number calling module, an identity verification module, a treatment information uploading module, a user receiving module and a user archive library; the system comprises a user login module, a user identification module and a user identification module, wherein the user login module is installed in an intelligent terminal and is used for logging in an inquiry system, and a user needs to input an account password and acquire face information during logging in; after logging in the inquiry system, the user uploads the illness state information of the user by using the illness state uploading module, and the data receiving module receives the illness state information and sends the illness state information to the data processing module. The invention can lead the patient to directly know the department who needs to register, is more humanized and is more worthy of popularization and use.
Description
Technical Field
The invention relates to the field of inquiry systems, in particular to a western medicine inquiry system based on a big data platform.
Background
The western medicine takes anatomical physiology, tissue embryology, biochemistry and molecular biology as basic subjects, and the inquiry refers to a method for diagnosing diseases by inquiring occurrence, development conditions, current symptoms, treatment processes and the like of the diseases and the patients and their acquaintances in a dialogue mode.
According to the conventional inquiry system, a patient cannot directly know a department to be hung, and is easily robbed by a cattle in the process of registration, so that the patient is delayed, and certain influence is brought to the use of the inquiry system, so that the western medicine inquiry system based on a large data platform is provided.
Disclosure of Invention
The technical problem to be solved by the invention is as follows: how to solve current inquiry system, patient can't directly know the department that oneself will hang, is easily robbed the number etc. by the ox in the process of registering simultaneously, leads to patient and is delayed, has brought the problem of certain influence for the use of inquiry system, provides a western medicine inquiry system based on big data platform.
The invention solves the technical problems through the following technical scheme that the medical treatment system comprises a user login module, an image acquisition module, a data receiving module, a data processing module, a patient condition library, a master control module, a queuing reminding module, a patient condition uploading module, a registration recommending module, a number calling module, an identity verification module, a doctor seeing information uploading module, a user receiving module and a user archive library;
the system comprises a user login module, a user identification module and a user identification module, wherein the user login module is installed in an intelligent terminal and is used for logging in an inquiry system, and a user needs to input an account password and acquire face information during logging in;
after logging in the inquiry system, the user uploads the illness state information of the user by using the illness state uploading module, and the data receiving module receives the illness state information and sends the illness state information to the data processing module;
the data processing module extracts the illness state information to be matched with the illness state in the illness state library, extracts a department corresponding to the illness state after successful matching, sends the department corresponding to the illness state to the registration recommending module, the registration recommending module sends the department corresponding to the illness state to the intelligent terminal for displaying, and the patient registers to generate registration information according to the department corresponding to the recommended illness state;
the registration information is sent to a number calling module, the number calling module is used for queuing and calling, and after the number calling module calls a patient, the patient performs identity verification in an identity verification module;
the identity authentication module is used for authenticating the identity of the patient calling the number, and the patient can see a doctor only after passing the identity authentication;
after the doctor visits a doctor, the doctor sends the illness state information of the patient to a diagnosis information uploading module, and the diagnosis information uploading module sends the illness state information of the patient to a user receiving end and a user archive;
the image acquisition module is used for acquiring image information of personnel in front of the intelligent terminal, and the data receiving module is used for receiving the image information of the personnel in front of the intelligent terminal and sending the image information of the personnel in front of the intelligent terminal to the data processing module;
the data processing module processes the image information of the personnel in front of the intelligent terminal to generate queuing reminding information;
and after the queuing reminding information is generated, the master control module controls the queuing reminding module to send out the queuing reminding information.
Preferably, the specific process of extracting the disease condition information and matching the disease condition in the disease condition library by the data processing module is as follows:
the method comprises the following steps: extracting disease condition information uploaded by a user, wherein the disease condition information is the disease condition content in a preset word number;
step two: dividing the disease condition content in the preset word number into x combinations, wherein each combination is three characters;
step three: carrying out character recognition on each combination, recognizing specific character contents, and uploading the contents of the characters of the x combinations to an illness state library for matching;
step four: extracting the disease conditions matched by the x combinations and extracting the department corresponding to the disease conditions as a recommended department.
Preferably, the illness state library is connected with the internet, and the department information corresponding to various illness states is collected in real time.
Preferably, the number calling module performs better confirmation during number calling, performs number calling again according to the re-queuing rule when the number calling has a condition that the number is not answered, and performs number calling again when the number calling still has no response, that is, the number is invalidated.
Preferably, the process of the repumbering rule is as follows:
the method comprises the following steps: extracting the quantity information of all the numbered personnel, and marking the quantity information as K;
step two: when the number information K of all the queuing personnel is larger than a preset value and the number calling is not answered, the number is backwards beaten for 1/5K;
step three: when the number information K of all the queuing personnel is within the preset value range and the number calling is not in charge of the number, the number is backwards beaten by 1/6K;
step four: when the number information K of all the queuing personnel is smaller than the preset value and the number is not called, 1/8K names are shot backwards.
Preferably, the specific process of the identity authentication module for performing identity authentication is as follows:
the method comprises the following steps: extracting face information collected when a user logs in, and extracting a characteristic coefficient to obtain a preset characteristic coefficient;
step two: extracting face information acquired during identity authentication, and extracting characteristic coefficients to obtain real-time characteristic coefficients;
step three: and calculating the difference between the preset characteristic coefficient and the real-time characteristic coefficient, and passing the verification when the absolute value of the difference between the preset characteristic coefficient and the real-time characteristic coefficient is smaller than the preset value.
Preferably, the specific extraction process of the feature coefficients is as follows: extracting face image information, extracting feature points, marking a nose tip point as a point A1, marking two outer eye corner points as a point A2 and a point A2, and respectively connecting the point A1 with the point A2 and the point A2 to obtain a line segment L1 and a line segmentL2, the lengths of line L1 and line L2 were measured and calculated by the formula (L1 + L2)/2 = LAre all made ofWith LAre all made ofDrawing a circle with point A1 as the center of the circle to obtain circle M, and obtaining the circle M by formula pi LAre all made of 2= SL, the area SL of the circle M is calculated, and the area of the circle M is the coefficient of characteristics.
Preferably, the specific process of processing the image information of the person in front of the intelligent terminal by the data processing module to generate the queuing reminding information is as follows:
step (1): extracting personnel image information in front of the intelligent terminal, and extracting a characteristic region;
step (2): collecting the number of characteristic areas appearing in the same plane, and marking the number as P;
and (3): and generating queuing reminding information when the number P of the characteristic areas in the same plane is larger than a preset value.
Preferably, the specific processing procedure of the feature region is as follows: extracting a face image in the image information of a person in front of the intelligent terminal, marking two inner canthus as a point B1 and a point B2, marking two mouth corners as a point B3 and a point B4, connecting a point B1 and a point B2 to obtain a line segment T1, connecting a point B2 and a point B3 to obtain a line segment T2, connecting a point B3 and a point B4 to obtain a line segment T3, connecting a point B4 and a point B1 to obtain a line segment T4, and enclosing a characteristic region by a line segment T1, a line segment T2, a line segment T3 and the line segment T4.
Compared with the prior art, the invention has the following advantages: this western medicine inquiry system based on big data platform, can realize that patient uploads the state of an illness promptly and recommends corresponding department of seeing a doctor for patient, thereby effectively reduced the waste of the time that leads to of patient's wrong department, simultaneously, face identification verifies when seeing a doctor, the effectual situation of having avoided the cattle to queue up takes place, every person's of seeing a doctor fairness has been guaranteed, and after calling out the number, carry out humanized arrangement of postponing temporarily to it, the dispute that the number of calling out leads to has been reduced, let change the system and possessed more functions, user's different user demands have been satisfied, let this system be worth using widely more.
Drawings
FIG. 1 is a system block diagram of the present invention.
Detailed Description
The following examples are given for the detailed implementation and specific operation of the present invention, but the scope of the present invention is not limited to the following examples.
As shown in fig. 1, the present embodiment provides a technical solution: a western medicine inquiry system based on a big data platform comprises a user login module, an image acquisition module, a data receiving module, a data processing module, an illness state library, a master control module, a queuing reminding module, an illness state uploading module, a registration recommending module, a number calling module, an identity verification module, a treatment information uploading module, a user receiving module and a user archive library;
the system comprises a user login module, a user identification module and a user identification module, wherein the user login module is installed in an intelligent terminal and is used for logging in an inquiry system, and a user needs to input an account password and acquire face information during logging in;
after logging in the inquiry system, the user uploads the illness state information of the user by using the illness state uploading module, and the data receiving module receives the illness state information and sends the illness state information to the data processing module;
the data processing module extracts the illness state information to be matched with the illness state in the illness state library, extracts a department corresponding to the illness state after successful matching, sends the department corresponding to the illness state to the registration recommending module, the registration recommending module sends the department corresponding to the illness state to the intelligent terminal for displaying, and the patient registers to generate registration information according to the department corresponding to the recommended illness state;
the registration information is sent to a number calling module, the number calling module is used for queuing and calling, and after the number calling module calls a patient, the patient performs identity verification in an identity verification module;
the identity authentication module is used for authenticating the identity of the patient calling the number, and the patient can see a doctor only after passing the identity authentication;
after the doctor visits a doctor, the doctor sends the illness state information of the patient to a diagnosis information uploading module, and the diagnosis information uploading module sends the illness state information of the patient to a user receiving end and a user archive;
the image acquisition module is used for acquiring image information of personnel in front of the intelligent terminal, and the data receiving module is used for receiving the image information of the personnel in front of the intelligent terminal and sending the image information of the personnel in front of the intelligent terminal to the data processing module;
the data processing module processes the image information of the personnel in front of the intelligent terminal to generate queuing reminding information;
and after the queuing reminding information is generated, the master control module controls the queuing reminding module to send out the queuing reminding information.
The specific process of extracting the disease condition information by the data processing module and matching the disease condition information with the disease condition in the disease condition library is as follows:
the method comprises the following steps: extracting disease condition information uploaded by a user, wherein the disease condition information is the disease condition content in a preset word number;
step two: dividing the disease condition content in the preset word number into x combinations, wherein each combination is three characters;
step three: carrying out character recognition on each combination, recognizing specific character contents, and uploading the contents of the characters of the x combinations to an illness state library for matching;
step four: extracting the disease conditions matched by the x combinations and extracting the department corresponding to the disease conditions as a recommended department.
The illness state library is connected with the Internet and collects the department information corresponding to various illness states in real time.
The number calling module carries out better confirmation when calling, calls numbers again according to the rule of re-arranging when the number calling has the condition of not answering the number, and the number is wasted when the number calling still has no response.
The process of the renumbering rule is as follows:
the method comprises the following steps: extracting the quantity information of all the numbered personnel, and marking the quantity information as K;
step two: when the number information K of all the queuing personnel is larger than a preset value and the number calling is not answered, the number is backwards beaten for 1/5K;
step three: when the number information K of all the queuing personnel is within the preset value range and the number calling is not in charge of the number, the number is backwards beaten by 1/6K;
step four: when the number information K of all the queuing personnel is smaller than the preset value and the number is not called, 1/8K names are shot backwards.
The specific process of the identity authentication module for identity authentication is as follows:
the method comprises the following steps: extracting face information collected when a user logs in, and extracting a characteristic coefficient to obtain a preset characteristic coefficient;
step two: extracting face information acquired during identity authentication, and extracting characteristic coefficients to obtain real-time characteristic coefficients;
step three: and calculating the difference between the preset characteristic coefficient and the real-time characteristic coefficient, and passing the verification when the absolute value of the difference between the preset characteristic coefficient and the real-time characteristic coefficient is smaller than the preset value.
The specific extraction process of the characteristic coefficient is as follows: extracting face image information, extracting feature points, marking a nose tip point as a point A1, marking two outer eye corner points as a point A2 and a point A2, respectively connecting the point A1 with the point A2 and the point A2 to obtain a line segment L1 and a line segment L2, measuring the lengths of the line segment L1 and the line segment L2, and obtaining the length of the line segment L1 and the length of the line segment L2 through a formula (L1 + L2)/2 = LAre all made ofWith LAre all made ofDrawing a circle with point A1 as the center of the circle to obtain circle M, and obtaining the circle M by formula pi LAre all made of 2= SL, the area SL of the circle M is calculated, and the area of the circle M is the coefficient of characteristics.
The specific process of processing the image information of the personnel in front of the intelligent terminal by the data processing module to generate the queuing reminding information is as follows:
step (1): extracting personnel image information in front of the intelligent terminal, and extracting a characteristic region;
step (2): collecting the number of characteristic areas appearing in the same plane, and marking the number as P;
and (3): when the number P of the characteristic areas in the same plane is larger than a preset value, queuing reminding information is generated;
through setting up the warning message of lining up, can reduce the emergence of taking place the phenomenon of inserting a team when the personnel of seeing a doctor is too much, promoted the experience of seeing a doctor.
The specific processing procedure of the characteristic region is as follows: extracting a face image in the image information of a person in front of the intelligent terminal, marking two inner canthus as a point B1 and a point B2, marking two mouth corners as a point B3 and a point B4, connecting a point B1 and a point B2 to obtain a line segment T1, connecting a point B2 and a point B3 to obtain a line segment T2, connecting a point B3 and a point B4 to obtain a line segment T3, connecting a point B4 and a point B1 to obtain a line segment T4, and enclosing a characteristic region by a line segment T1, a line segment T2, a line segment T3 and the line segment T4.
In conclusion, when the system is used, the user login module is installed in the intelligent terminal, the user login module enables the user to log in the system for inquiring, and the user needs to input an account password and collect face information during login;
the patient condition information is uploaded by a user after logging in a consultation system, the data receiving module receives the patient condition information and sends the patient condition information to the data processing module, the data processing module extracts the patient condition information to be matched with the patient conditions in a patient condition library, a department corresponding to the patient condition is extracted after successful matching, the department corresponding to the patient condition is sent to a registration recommending module, the registration recommending module sends the department corresponding to the patient condition to an intelligent terminal for displaying, the patient registers according to the recommended department corresponding to the patient condition to generate registration information, the registration information is sent to a number calling module, the number calling module queues and calls the number, the patient is authenticated by an authentication module after the number calling module calls the patient, the authentication module authenticates the identity of the patient who calls the number, only the patient who is authenticated, the patient can be treated, and the doctor sends the patient condition information of the patient to a treatment information uploading module after the patient is treated, the patient condition information uploading module sends the patient condition information to a user receiving end and a user file library, the image acquires the image information of the personnel in front of the intelligent terminal, the data receiving module receives the image information of the personnel in front of the intelligent terminal and sends the image information of the personnel in front of the intelligent terminal to the data processing module, the data processing module processes the image information of the personnel in front of the intelligent terminal to generate queuing reminding information, the master control module controls the queuing reminding module to send the queuing reminding information after the queuing reminding information is generated, the patient uploading condition state is that the patient recommends a corresponding ward, thereby effectively reducing the time waste caused by the patient hanging the wrong ward, simultaneously, the face recognition verification is carried out during the treatment, the condition of queuing in the cattle generation is effectively avoided, the fairness of each patient is ensured, and after the number is called, the system is subjected to temporary postponed humanized arrangement, disputes caused by calling and passing numbers are reduced, the system has more functions, different use requirements of users are met, and the system is more worthy of popularization and use.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of the present invention, "a plurality" means at least two, e.g., two, three, etc., unless specifically limited otherwise.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.
Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention, and that variations, modifications, substitutions and alterations can be made to the above embodiments by those of ordinary skill in the art within the scope of the present invention.
Claims (9)
1. A western medicine inquiry system based on a big data platform is characterized by comprising a user login module, an image acquisition module, a data receiving module, a data processing module, an illness state library, a master control module, a queuing reminding module, an illness state uploading module, a registration recommending module, a number calling module, an identity verification module, a treatment information uploading module, a user receiving module and a user archive library;
the system comprises a user login module, a user identification module and a user identification module, wherein the user login module is installed in an intelligent terminal and is used for logging in an inquiry system, and a user needs to input an account password and acquire face information during logging in;
after logging in the inquiry system, the user uploads the illness state information of the user by using the illness state uploading module, and the data receiving module receives the illness state information and sends the illness state information to the data processing module;
the data processing module extracts the illness state information to be matched with the illness state in the illness state library, extracts a department corresponding to the illness state after successful matching, sends the department corresponding to the illness state to the registration recommending module, the registration recommending module sends the department corresponding to the illness state to the intelligent terminal for displaying, and the patient registers to generate registration information according to the department corresponding to the recommended illness state;
the registration information is sent to a number calling module, the number calling module is used for queuing and calling, and after the number calling module calls a patient, the patient performs identity verification in an identity verification module;
the identity authentication module is used for authenticating the identity of the patient calling the number, and the patient can see a doctor only after passing the identity authentication;
after the doctor visits a doctor, the doctor sends the illness state information of the patient to a diagnosis information uploading module, and the diagnosis information uploading module sends the illness state information of the patient to a user receiving end and a user archive;
the image acquisition module is used for acquiring image information of personnel in front of the intelligent terminal, and the data receiving module is used for receiving the image information of the personnel in front of the intelligent terminal and sending the image information of the personnel in front of the intelligent terminal to the data processing module;
the data processing module processes the image information of the personnel in front of the intelligent terminal to generate queuing reminding information;
and after the queuing reminding information is generated, the master control module controls the queuing reminding module to send out the queuing reminding information.
2. The big data platform-based western medical inquiry system according to claim 1, wherein: the specific process of extracting the disease condition information by the data processing module and matching the disease condition information with the disease condition in the disease condition library is as follows:
the method comprises the following steps: extracting disease condition information uploaded by a user, wherein the disease condition information is the disease condition content in a preset word number;
step two: dividing the disease condition content in the preset word number into x combinations, wherein each combination is three characters;
step three: carrying out character recognition on each combination, recognizing specific character contents, and uploading the contents of the characters of the x combinations to an illness state library for matching;
step four: extracting the disease conditions matched by the x combinations and extracting the department corresponding to the disease conditions as a recommended department.
3. The big data platform-based western medical inquiry system according to claim 1, wherein: the illness state library is connected with the Internet and collects the department information corresponding to various illness states in real time.
4. The big data platform-based western medical inquiry system according to claim 1, wherein: the number calling module carries out better confirmation when calling, calls numbers again according to the rule of re-arranging when the number calling has the condition of not answering the number, and the number is wasted when the number calling still has no response.
5. The big data platform-based western medical inquiry system according to claim 1, wherein: the process of the renumbering rule is as follows:
the method comprises the following steps: extracting the quantity information of all the numbered personnel, and marking the quantity information as K;
step two: when the number information K of all the queuing personnel is larger than a preset value and the number calling is not answered, the number is backwards beaten for 1/5K;
step three: when the number information K of all the queuing personnel is within the preset value range and the number calling is not in charge of the number, the number is backwards beaten by 1/6K;
step four: when the number information K of all the queuing personnel is smaller than the preset value and the number is not called, 1/8K names are shot backwards.
6. The big data platform-based western medical inquiry system according to claim 1, wherein: the specific process of the identity authentication module for identity authentication is as follows:
the method comprises the following steps: extracting face information collected when a user logs in, and extracting a characteristic coefficient to obtain a preset characteristic coefficient;
step two: extracting face information acquired during identity authentication, and extracting characteristic coefficients to obtain real-time characteristic coefficients;
step three: and calculating the difference between the preset characteristic coefficient and the real-time characteristic coefficient, and passing the verification when the absolute value of the difference between the preset characteristic coefficient and the real-time characteristic coefficient is smaller than the preset value.
7. A Western medical inquiry system based on a big data platform according to claim 6, characterized in that: the specific extraction process of the characteristic coefficient is as follows: extracting face image information, extracting feature points, marking a nose tip point as a point A1, marking two outer eye corner points as a point A2 and a point A2, respectively connecting the point A1 with the point A2 and the point A2 to obtain a line segment L1 and a line segment L2, measuring the lengths of the line segment L1 and the line segment L2, and obtaining the length of the line segment L1 and the length of the line segment L2 through a formula (L1 + L2)/2 = LAre all made ofWith LAre all made ofDrawing a circle with point A1 as the center of the circle to obtain circle M, and obtaining the circle M by formula pi LAre all made of 2= SL, the area SL of the circle M is calculated, and the area of the circle M is the coefficient of characteristics.
8. The big data platform-based western medical inquiry system according to claim 1, wherein: the specific process of processing the image information of the personnel in front of the intelligent terminal by the data processing module to generate the queuing reminding information is as follows:
step (1): extracting personnel image information in front of the intelligent terminal, and extracting a characteristic region;
step (2): collecting the number of characteristic areas appearing in the same plane, and marking the number as P;
and (3): and generating queuing reminding information when the number P of the characteristic areas in the same plane is larger than a preset value.
9. A western medical inquiry system based on a big data platform according to claim 8, wherein: the specific processing procedure of the characteristic region is as follows: extracting a face image in the image information of a person in front of the intelligent terminal, marking two inner canthus as a point B1 and a point B2, marking two mouth corners as a point B3 and a point B4, connecting a point B1 and a point B2 to obtain a line segment T1, connecting a point B2 and a point B3 to obtain a line segment T2, connecting a point B3 and a point B4 to obtain a line segment T3, connecting a point B4 and a point B1 to obtain a line segment T4, and enclosing a characteristic region by a line segment T1, a line segment T2, a line segment T3 and the line segment T4.
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