CN115862802A

CN115862802A - Data flow direction display method and device and electronic equipment

Info

Publication number: CN115862802A
Application number: CN202211483963.2A
Authority: CN
Inventors: 米文涛
Original assignee: Lianren Healthcare Big Data Technology Co Ltd
Current assignee: Lianren Healthcare Big Data Technology Co Ltd
Priority date: 2022-11-24
Filing date: 2022-11-24
Publication date: 2023-03-28

Abstract

The invention discloses a data flow direction display method and device and electronic equipment. The method comprises the following steps: acquiring a plurality of data; discretizing the actual index value of the target index in each patient data based on the pre-configured target index and the index value interval of each target index to determine the target index value interval corresponding to the actual index value; determining section frame height information corresponding to each index value section of each target index based on the target index value section; constructing and displaying a target flow graph based on the target index arrangement sequence, the interval frame height information and the target index value interval corresponding to each patient; and responding to an index interval selection operation triggered by a user in the target flow diagram, determining a target flow direction full path of a current index value interval, and integrally displaying the target flow direction full path based on a display mode of the current index value interval, so that the overall preview of the overall data flow direction is realized, and the use experience of the user is improved.

Description

Data flow direction display method and device and electronic equipment

Technical Field

The present invention relates to the field of data processing technologies, and in particular, to a data flow direction display method and apparatus, and an electronic device.

Background

The data flow analysis is used for expressing the flow of the treatment path of the user or converting the flow of each index value of different users in one subject. Generally, a morgan graph is adopted to express the flow direction of data, and the morgan graph can intuitively reflect the change of the number of users of each partition node, so that researchers can find potential clinical phenomena aiming at analyzed clinical topics to implement intervention decisions. However, the conventional morgan can only view local flow information, and cannot view the whole flow information intuitively and quickly.

Disclosure of Invention

The invention provides a data flow direction display method, a data flow direction display device and electronic equipment, so that data flow direction information can be visually and quickly checked, overall preview of the overall data flow direction is realized, and the use experience of a user is improved.

In a first aspect, the present invention provides a data stream display method, including:

acquiring a plurality of patient data;

discretizing the actual index value of the target index in each patient data based on a plurality of preset target indexes and at least two index value intervals of each target index, and determining the target index value interval corresponding to the actual index value;

determining section frame height information corresponding to each index value section of each target index based on the target index value sections of all patients;

constructing and displaying a target flow chart based on the target index arrangement sequence, the interval frame height information and the target index value interval corresponding to each patient;

and responding to an index interval selection operation triggered by a user in the target flow graph, determining a target flow full path containing a current index value interval selected by the user, and integrally displaying the target flow full path based on a display mode of the current index value interval.

In a second aspect, the present invention provides a data stream presentation apparatus, comprising:

a data acquisition module for acquiring a plurality of patient data;

the discretization processing module is used for discretizing the actual index value of the target index in each piece of patient data based on a plurality of preset target indexes and at least two index value intervals of each target index, and determining the target index value interval corresponding to the actual index value;

the height information determining module is used for determining the height information of a section frame corresponding to each index value section of each target index based on the target index value sections of all patients;

the flow chart construction module is used for constructing and displaying a target flow chart based on the target index arrangement sequence, the height information of the interval frames and the target index value interval corresponding to each patient;

and the full path display module is used for responding to an index interval selection operation triggered by a user in the target flow graph, determining a target flow full path containing a current index value interval selected by the user, and integrally displaying the target flow full path based on a display mode of the current index value interval.

In a third aspect, the invention provides an electronic device for data processing, comprising:

at least one processor; and

a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,

the memory stores a computer program executable by the at least one processor, the computer program being executable by the at least one processor to enable the at least one processor to perform the data flow presentation method of any of the embodiments of the invention.

According to the technical scheme provided by the embodiment of the invention, a plurality of data are acquired; discretizing the actual index value of the target index in each patient data based on the pre-configured target index and the index value interval of each target index to determine the target index value interval corresponding to the actual index value; determining section frame height information corresponding to each index value section of each target index based on the target index value section; constructing and displaying a target flow chart based on the target index arrangement sequence, the interval frame height information and the target index value interval corresponding to each patient; the target flow direction full path of the current index value interval is determined in response to the index interval selection operation triggered by the user in the target flow direction graph, and the target flow direction full path is integrally displayed based on the display mode of the current index value interval, so that the technical problem that the whole flow direction information cannot be visually and quickly viewed when the data flow direction is displayed is solved, the whole preview of the whole data flow direction is realized, and the use experience of the user is improved.

It should be understood that the statements in this section are not intended to identify key or critical features of the embodiments of the present invention, nor are they intended to limit the scope of the invention. Other features of the present invention will become apparent from the following description.

Drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.

Fig. 1 is a flowchart of a data flow direction display method according to an embodiment of the present invention;

FIG. 2 is a schematic diagram of an index value interval corresponding to a target index according to an embodiment of the present invention;

fig. 3 is a schematic diagram of a discretization processing result according to an embodiment of the present disclosure;

FIG. 4 is a schematic diagram of a target flow chart provided by an embodiment of the present invention;

FIG. 5 is a diagram of an indicator interval display box according to an embodiment of the present invention;

fig. 6 is a flowchart of a data flow direction display method according to a second embodiment of the present invention;

fig. 7 is a schematic structural diagram of a data flow direction display device according to a third embodiment of the present invention;

fig. 8 is a schematic structural diagram of an electronic device according to a fourth embodiment of the present invention.

Detailed Description

In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

It should be noted that the terms "first preset condition", "second preset condition", and the like in the description and the claims of the present invention and the drawings are used for distinguishing similar objects and are not necessarily used for describing a specific order or sequence. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.

Example one

Fig. 1 is a flowchart of a data flow direction displaying method according to an embodiment of the present invention, which is applicable to displaying global data flow direction information. The method can be executed by a data stream presentation device, the device can be realized in a hardware and/or software mode, and the device can be configured on a computer device, and the computer device can be a notebook, a desktop computer, a smart tablet and the like. As shown in fig. 1, the method includes:

and S110, acquiring a plurality of patient data.

The patient data is data corresponding to at least one examination item generated during a patient visit.

Specifically, in order to obtain a data flow display diagram with rich and comprehensive display contents, data of multiple patients may be acquired, for example, 3000 patient data may be acquired.

Illustratively, for a department, a series of items of data are generated from the first visit to the department to the end of treatment, and some examination items are made by each patient. Patient data for each patient in a department may be obtained for the last three years. Each piece of patient data is a piece of data, and for example, information included in one piece of patient data may be: "airway opening-is; oxygen is absorbed at the flow rate of-1.5L/min; blood urea nitrogen-2.5 mm; hemoglobin-15 g/dl; heart rate value-75/min; discharge-yes ". In practice, a plurality of pieces of patient data are acquired.

And S120, discretizing the actual index value of the target index in each piece of patient data based on a plurality of preset target indexes and at least two index value intervals of each target index, and determining the target index value interval corresponding to the actual index value.

The target index is a preset index, and the target index corresponds to an item in the patient data. The index value interval is different range intervals corresponding to the target index, and the index value interval can be divided into two types, one type is continuous type, for example: the value of the index is a numerical value, and one is data of a classification, for example: the airway opening index has the following value ranges: yes or no. The actual index value is the true value of the target index for each patient data record. The discretization processing is a processing process for corresponding the actual index value of each target index to the target index value interval. In the present embodiment, one index per patient data necessarily belongs to an index value interval of an index value interval target index. The target index value interval is an index value interval to which the actual index value belongs.

Illustratively, the index value intervals corresponding to a plurality of target indexes are shown in fig. 2. As shown in fig. 2, the target index may include: airway patency index, blood urea nitrogen index, hemoglobin index, and discharge index. Each index corresponds to at least two index value intervals, for example, the index value interval corresponding to blood urea nitrogen comprises: low, normal and high, three index value intervals. For each piece of patient data, the actual index value of the target index in the patient data is mapped into the target index value interval, and the discretization process of the actual index value of each patient is the same. If the information included in a piece of patient data is: "airway opening-is; blood urea nitrogen-2.5 mm; hemoglobin-100 g/L; discharge-yes ", in which the actual index value of blood urea nitrogen falls in the normal index value section of blood urea nitrogen, and the actual index value of hemoglobin falls in the low index value section of hemoglobin, the result of discretizing the patient data is shown in fig. 3, and the actual index value falls in the index value section filled with left slopes in each target index value section, as shown in fig. 3.

And S130, determining section frame height information corresponding to each index value section of each target index based on the target index value sections of all patients.

The section frame height information may be understood as a display height corresponding to the index value section in the display diagram, and the section frame height information is associated with an actual index value number corresponding to each section.

In this embodiment, after discretizing all the patient data, the actual index value number corresponding to each index value section can be obtained, and further, the section frame height of each index value section is determined according to the actual index value number of each index value section.

S140, constructing and displaying a target flow chart based on the target index arrangement sequence, the interval frame height information and the target index value interval corresponding to each patient.

And the target flow graph is the finally displayed information flow graph. In this embodiment, a plurality of target indicators may be included, and the arrangement order of the target indicators may be predetermined.

Specifically, according to the arrangement order of the target index intervals and the height information of the interval frames, the overall outline of the target flow graph can be constructed, which is shown in fig. 2. As shown in fig. 2, the arrangement order of the target indicators in the target flow graph is: the first column is the airway opening index, the second column is the blood urea nitrogen index, the third column is the hemoglobin index, and the fourth column is the discharge index. On the basis of the above embodiment, based on the actual index value number corresponding to each index value section, the section frame height corresponding to each index value section can be determined, and the discretization processing process determines the target index section corresponding to each patient. For one piece of patient data, target index value intervals corresponding to all target indexes can be determined, all the target index value intervals are sequentially connected according to the target index arrangement sequence to determine the whole path of the piece of patient data, further the whole paths of all the patient data are determined, all the patient data correspond to the whole paths to be summarized, and then the target flow graph can be constructed.

Illustratively, the target index value interval corresponding to each target index of the patient a is as follows: "airway opening-is; blood urea nitrogen-normal; hemoglobin-normal; discharge-yes ", the full path corresponding to patient a is shown in figure 2. As shown in fig. 2, the target index value intervals are connected by lines, the lines of the target index value intervals are S1, S2 and S3, respectively, a full path is formed by "airway opening-yes", S1, "blood urea nitrogen-normal", S2, "hemoglobin-normal", S3 and "discharge-yes", and the data of each patient are summarized corresponding to the full path to construct a target flow map, which is shown in fig. 4. Since the target flow chart is drawn based on a plurality of patient data, all of the index value sections have overlapping patient data. As shown in fig. 4, the index value section: the airway opening-closing can be divided into two directions of flow, namely a blood urea nitrogen-low index value interval and a blood urea nitrogen-normal index value interval. Here, the heights of A1 and B1 are the same, and the heights of A2 and B3 are the same, and it can be understood that if the actual index value number corresponding to "airway opening-no" is 1000, the index value number corresponding to A1 is 600, the index value number corresponding to A2 is 400, there are 600 patient data from "airway opening-no" to "blood urea nitrogen-low", and there are 400 patient data from "airway opening-no" to "blood urea nitrogen-normal". The method for determining the connection line between the other index value intervals is consistent with the above method, and is not repeated herein.

S150, responding to an index interval selection operation triggered by a user in the target flow graph, determining a target flow full path containing a current index value interval selected by the user, and integrally displaying the target flow full path based on a display mode of the current index value interval.

The target flow direction full path is a flow direction full path corresponding to a certain index interval. The display mode is a preset display rule.

Specifically, when a user triggers at least one index interval in the target flow graph, the target flow direction full path corresponding to the current index interval is determined first, the target flow direction full path can be highlighted on a user display page, meanwhile, a display frame can be preset at a relevant position of the index interval, and specific content corresponding to the index interval can be displayed in the display frame.

For example, referring to fig. 4, if the user triggers the target flow to the index interval corresponding to "blood urea nitrogen-normal" in the graph, the target flow full path including "blood urea nitrogen-normal" is: A2-B3, A3-B4, C2-D3, E3-F2, the object flow may be displayed in a highlighted form along the full path, and the other paths may be displayed in a gray scale. In addition, a display frame may be preset at a relevant position of the index interval, the content in the display frame may be as shown in fig. 5, and optionally, the relevant position may be below the index value interval.

According to the technical scheme of the embodiment of the disclosure, firstly, a plurality of patient data are obtained, discretization is carried out on an actual index value of a target index in each patient data based on a preset target index and an index value interval of each target index, a target index value interval corresponding to the actual index value is determined, then interval frame height information corresponding to each index value interval of each target index is determined based on the target index value interval, and further, a target flow graph is constructed and displayed based on a target index arrangement sequence, the interval frame height information and the target index value interval corresponding to each patient. In the user application stage, the target flow direction full path of the current index value interval can be determined in response to the index interval selection operation triggered by the user in the target flow direction graph, and the target flow direction full path is integrally displayed based on the display mode of the current index value interval. According to the technical scheme provided by the embodiment of the invention, a target flow direction full path display graph comprising a plurality of target indexes is constructed through the existing data, wherein one target index comprises at least one index value interval. In the user application stage, through triggering the index value interval, the display graph of all paths passing through the current index value interval can be displayed, the selected paths can be displayed distinctively, the technical problem that the whole flow direction information cannot be viewed intuitively and quickly when the data flow direction is displayed is solved, the whole preview of the whole data flow direction is realized, and the use experience of a user is improved.

On the basis of the above embodiment, S130 may include: counting the target index value intervals of all patients, and determining the number of patients corresponding to each index value interval of each target index; and determining interval frame height information corresponding to each index value interval of each target index based on the number of patients, wherein the interval frame height information is positively correlated with the number of patients.

In this embodiment, the target index value intervals of all patients may be counted, and the number of patients in each index value interval may be determined, for example, the total number of patients is 3000, as shown in fig. 2, assuming that the number of patients corresponding to the "airway opening-no" index value interval is 1000, and the number of patients corresponding to the "airway opening-yes" index value interval is 2000. Further, the section frame height information corresponding to each index value section is determined according to the number of patients, and for example, if the overall height information corresponding to the target index of airway opening is preset to be 90cm, the section frame height information corresponding to the "airway opening-no" index value section is 30cm, and the section frame height information corresponding to the "airway opening-yes" index value section is 60cm. The method for determining the height information of the interval frame corresponding to other target index value intervals is consistent, and is not repeated herein.

On the basis of the foregoing embodiment, in S150, based on the presentation manner of the current index value interval, the overall presentation of the target flow to the full path may be: determining the target connecting line width corresponding to each target flow direction full path based on the target patient number corresponding to each target flow direction full path; determining a target display color based on the display color of the current index value interval; and connecting the index value intervals of each target flow in the full path based on the target connecting line width, and connecting the same connecting lines to each other to display in a target display color.

In this embodiment, the target connecting line width corresponding to each target flow direction full path is related to the target patient number corresponding to the target flow direction full path, and the larger the target patient number corresponding to the target flow direction full path is, the wider the target connecting line width is. The display color corresponding to each index value interval may be preset, and a mapping relationship table of the target display color corresponding to each index value interval may be established, so as to determine the target display color based on the mapping relationship table.

In this embodiment, a plurality of target link widths can be determined according to the number of patients in each index value interval, the index value intervals are sequentially connected from left to right according to the arrangement sequence of the target indexes, and the connection lines flowing from the same index value interval to another same index value interval are connected to each other, so that the main purpose of this is to collect paths, and the effect is achieved: the user selects an index value interval, all paths passing through the index value interval can be combined together to be displayed, no gap exists in the middle, and the difference of the number of patients can be visually seen from the combined height. The specific method comprises the following steps: the whole path passing through a certain index interval is preferably found and is placed at the top of the storage space list, and then other paths not passing through the index interval are stored.

Example two

Fig. 6 is a flowchart of a data flow direction display method provided by the second embodiment of the present invention, and in the second embodiment of the present invention, on the basis of the foregoing embodiments, a target flow diagram is constructed and displayed based on the target index arrangement order, the height information of the interval frame, and the target index value interval corresponding to each patient, and corresponding contents are further refined. As shown in fig. 6, the method includes:

s210, acquiring a plurality of patient data.

S220, discretizing the actual index value of the target index in each piece of patient data based on a plurality of preset target indexes and at least two index value intervals of each target index, and determining the target index value interval corresponding to the actual index value.

And S230, determining section frame height information corresponding to each index value section of each target index based on the target index value sections of all patients.

S240, determining the target indexes corresponding to each column in the target flow graph based on the target index arrangement sequence, and obtaining the column indexes of each target index.

In this embodiment, the arrangement order of the target indexes may be preset, the column where the target indexes in the target flow graph are located may be determined based on the arrangement order, and a column index is configured for each column of the target indexes, and optionally, the column index may use key/value storage to perform data indexing. For example, a Map data structure may be employed to store objects in key-value pairs. After determining the column index for each target value, it may be stored in a Map data structure.

For example, referring to fig. 2, the column index corresponding to the airway opening target index may be 1, the column index corresponding to the blood urea nitrogen target index may be 2, the column index corresponding to the airway opening target index may be 3, and the column index corresponding to the discharge target index may be 4.

It should be noted that Map has better advantages in memory occupation, insertion performance, search speed, deletion performance, etc. In the memory with the same size, map can store more key-value pairs; the operation of inserting Map is faster in all browsers, and is particularly suitable for a large amount of inserting operations; in the deleting operation, the Map interface and the performance are better, so that the Map data structure is used as a memory function and the entity support of data in the memory, and accurate and efficient data indexing can be realized.

And S250, determining each corresponding interval frame of each column in the target flow graph based on the interval frame height information corresponding to each index value interval of each target index.

In this embodiment, each target index includes a plurality of index value intervals, and when constructing the target flow graph, each index value interval may be represented as an independent interval frame, the height of the interval frame is determined according to the interval frame height information, and the width of the interval frame may be configured by a user in a user-defined manner, which is not specifically limited herein. After the height of the rectangular frame corresponding to each interval frame is determined, the interval frames belonging to the same target index are placed in the same column, see fig. 2.

And S260, sequencing and combining the target index value sections corresponding to each patient based on the target index sequencing order, and determining the index value section flow full path corresponding to each patient.

In this embodiment, the discretization process may determine a target index interval corresponding to each patient. For a piece of patient data, target index value sections corresponding to all target indexes can be determined, and the index section flow to the whole path corresponding to the patient can be determined by combining the target index value sections according to the target index arrangement sequence. For example, referring to fig. 2, the index value interval flow for patient a is as follows: based on the fact that the airway is opened, namely from the blood urea nitrogen to the normal to the hemoglobin to the discharge, the index value interval corresponding to each patient flows to the whole path.

S270, connecting the index value intervals to the index value intervals in the whole path, connecting the same connecting lines to each other, constructing a target flow graph, and displaying the target flow graph.

In this embodiment, the index value sections flowing into the whole path are sequentially connected in the order of arrangement, and as shown in fig. 2, the index value sections are connected by connecting lines S1, S2, and S3. For the case that the same connecting line exists between two sections, the connecting lines are connected with each other, and in the user display view, the connecting lines are shown as one connecting line in a connection mode, as shown in fig. 4, A1-B1 are one connecting line. The advantages of such an arrangement are: in order to obtain better visual effect, avoid many mixed and disorderly single lines to cause the vision burden, the whole flow direction of a plurality of patient data of show that can not be clear.

S280, responding to an index interval selection operation triggered by a user in the target flow graph, determining a target flow full path containing a current index value interval selected by the user, and integrally displaying the target flow full path based on a display mode of the current index value interval.

According to the technical scheme, firstly, a plurality of data are obtained, and then discretization processing is carried out on an actual index value of a target index in each patient data based on a preset target index and an index value interval of each target index, so that a target index value interval corresponding to the actual index value is determined, and further, interval frame height information corresponding to each index value interval of each target index is determined based on the target index value interval. Then, based on the target index arrangement sequence, determining a target index corresponding to each column in the target flow graph, obtaining a column index of each target index, further, based on the interval frame height information corresponding to each index value interval of each target index, determining each interval frame corresponding to each column in the target flow graph, sequencing and combining the target index value intervals corresponding to each patient based on the target index arrangement sequence, determining an index value interval corresponding to each patient to flow to a full path, finally, connecting the index value intervals to the index value intervals in the full path, connecting the same connecting lines, constructing the target flow graph, and displaying the target flow graph. In a specific application stage of a user, in response to an index interval selection operation triggered by the user in a target flow graph, determining a target flow direction full path containing a current index value interval selected by the user, and integrally displaying the target flow direction full path based on a display mode of the current index value interval. The technical scheme provided by the embodiment of the invention can reflect the change of the number of patients in each index value interval more intuitively, has a good visual effect, realizes the integral preview of the global data flow direction, and improves the use experience of users.

On the basis of the above embodiment, after S260, the method further includes:

counting the index value interval flow direction full path corresponding to each patient, and determining the number of patients with the same index value interval flow direction full path and the index value interval flow direction full path containing the same index value interval; establishing a first mapping relation between the index value interval flow direction full path and the flow direction full path identification information, a second mapping relation between the flow direction full path identification information and the number of patients, and a third mapping relation between the index value interval and the flow direction full path identification information.

Wherein, the index value section flow total path is a set of each index value section corresponding to the patient data. The flow direction full path identification information is symbolic preset data content representing a flow direction full path.

In this embodiment, the index value section flow corresponding to each patient may be stored in a table format along the whole path, for example, there are 7 patients, and the table 1 is referred to as the characterization mode of the index value section flow corresponding to the patient along the whole path.

TABLE 1

Based on table 1, it can be determined that for the first target indicator, the number of patients flowing to the full path in the indicator interval of "airway open-yes" is 4, and the number of patients flowing to the full path in the indicator interval of "airway open-no" is 3. The index value section including the index section of "airway open-yes" flowing to the whole path flows to each target index value section corresponding to the target index value sections S1, S2, S3, and S4 in the whole path.

In this embodiment, since the data structure of the key value pair is used for storing and indexing data, the key value pair needs to be constructed, optionally, a mapping relationship between the index value interval flow to the full path, the number of patients, the index value interval and the flow to the full path identification information may be first established, and in the subsequent processing, the key value pair is constructed based on the mapping relationship.

On the basis of the above embodiment, the method further includes: constructing a first key value pair by taking the flow direction full path identification information as first key information and taking the index value interval flow direction full path as first value information; constructing a second key value pair by taking the flow direction full path identification information as second key information and taking the corresponding patient number as second value information; and constructing a third key value pair by taking the index value interval as third key information and taking the corresponding flow direction full path identification information as third value information.

In this embodiment, the key information and the value information in the key-value pair data structure may be respectively constructed based on the mapping relationship, and one piece of key information and one piece of value information corresponding to the key information constitute a key-value pair.

Specifically, the flow direction full path identification information is used as first key information, the index value interval flow direction full path is used as first value information, and a first key value pair is constructed. When the flow direction full path identification information is input into the computer, the computer can output the flow direction full path corresponding to the index value interval. The second key-value pair and the third key-value pair also perform in the same way as described above in practical applications.

On the basis of the embodiment, the step of determining the target flow full path containing the current index value interval selected by the user comprises the following steps: determining all target flow direction full-path identification information containing the current index value interval based on the third mapping relation and the current index value interval selected by the user; determining the number of target patients corresponding to each target flow direction full path based on the second mapping relation and the identification information of each target flow direction full path; and determining a target flow direction full path corresponding to the current index value interval based on the first mapping relation and the identification information of each target flow direction full path.

In this embodiment, in the stage of completing the construction of the target flow direction full path and applying by the user, the user may trigger and select one indicator value interval, or may trigger multiple indicator value intervals at the same time, so as to show the target flow direction full path including the indicator value interval based on the indicator value interval triggered by the user.

If the user triggers an index value interval, when the computer detects that the user triggers an index interval, the identification information corresponding to the current index interval can be determined, third key information is determined based on the identification information, the third key information is used as input, a pre-constructed third key value is indexed to a data structure, and the identification information of each target flow direction including the current index value interval can be determined. Furthermore, the identification information of all target flow directions is used as input, a pre-constructed second key value pair data structure is indexed, and the number of target patients corresponding to all target flow directions can be determined. And finally, taking the identification information of each target flow direction full path as input, indexing the data structure by the pre-constructed first key value, and determining the target flow direction full path corresponding to the current index value interval.

On the basis of the above embodiment, determining, based on the third mapping relationship and the current metric value interval selected by the user, all the target flow full path identification information including the current metric value interval, further includes:

if the user selects at least two current index value intervals, determining each first flow direction full path identification information containing each current index value interval based on the third mapping relation and each current index value interval selected by the user; merging the first flow direction full path identification information corresponding to each current index value interval belonging to the same index, and acquiring second flow direction full path identification information corresponding to the index based on a merging result; and performing intersection processing on the second flow direction full path identification information corresponding to each index, and acquiring the target flow direction full path identification information based on an intersection result.

In this embodiment, after the target flow direction full path is constructed, the user may trigger two or more index intervals, and display the target flow direction full path corresponding to the index intervals based on the index intervals. As shown in fig. 4, the user may simultaneously trigger "airway opening: no "and" blood urea nitrogen: the two index intervals are normal, and after the user triggers the two index intervals, the flow direction full path identification information of each of the two index intervals can be determined based on the mapping relationship between the index interval and the flow direction full path identification information.

If a user triggers multiple index value intervals and there are multiple index intervals belonging to the same index, for example, as shown in fig. 4, the user-triggered index interval includes: "blood urea nitrogen: low "," blood urea nitrogen: normal "and" hemoglobin: normal "three index value intervals, wherein" blood urea nitrogen: low "and" blood urea nitrogen: normal "pertains to the blood urea nitrogen index. At this time, "blood urea nitrogen: low "corresponding first flow direction full path identification information includes: the full path identification information corresponding to the A1-B1, the A4-B2 and the C1-D1; further, it was determined that "blood urea nitrogen: the normal "corresponding first flow direction full path identification information includes: full path identification information corresponding to A2-B3, A3-B4 and C2-D3; further, the union of the two first flow direction full path identification information is taken as: and the full path identification information corresponds to the A1-B1, the A4-B2, the C1-D1, the A2-B3, the A3-B4 and the C2-D3. Then, on the basis of the union result, the full path identification information containing the two current index intervals is determined and is used as second flow-direction full path identification information. After determining "blood urea nitrogen: low "and" blood urea nitrogen: and after the normal' flow direction full path identification information, performing intersection processing on the second flow direction full path identification information corresponding to each index so as to obtain each target flow direction full path identification information corresponding to the index value interval triggered by the user.

For example, if the user selects multiple index value intervals, the minimum column of the column indexes in the index value intervals can be found, and the full path is selected from the minimum column. If a plurality of index value intervals are selected on one column, taking the union of all paths of the index value intervals as the basis of subsequent comparison; if at most one index value interval is selected on one column, all paths passing through the index value interval are directly found. If other columns also have the selected index value intervals, the whole path meeting the current index value interval can be searched in the previously selected flow direction whole path identification information, the process is circularly continued, and finally all target flow direction whole paths meeting the selected index value intervals can be found. The identified target streams are highlighted for the full path, and other full paths that do not satisfy the condition are not highlighted. Optionally, the selected target flow direction full path may be displayed in a color, so that the user may visually see the target flow direction full path corresponding to the selected index value interval.

It should be noted that, a reverse selection control may be set, if the number of the index value intervals that the user needs to select is large, the index value intervals that do not need to be checked may be selected through the reverse selection control, at this time, the full path corresponding to the index value interval that the user does not select may be highlighted, and the full path corresponding to the index value interval that the user selects may not be highlighted, which has the following advantages: the process of reconstructing all data is reduced as much as possible, and the display performance is improved, so that a user can obtain higher use experience.

EXAMPLE III

Fig. 7 is a schematic structural diagram of a data flow direction display device according to a third embodiment of the present invention, where the device may execute the method for determining target data based on historical data according to the third embodiment of the present invention. The device includes: a data acquisition module 310, a discretization processing module 320, an altitude information determination module 330, a flow graph construction module 340, and a full path presentation module 350.

A data acquisition module 310 for acquiring a plurality of patient data;

a discretization processing module 320, configured to perform discretization processing on an actual index value of the target index in each piece of patient data based on a plurality of pre-configured target indexes and at least two index value intervals of each target index, and determine a target index value interval corresponding to the actual index value;

a height information determination module 330, configured to determine, based on target index value intervals of all patients, interval frame height information corresponding to each index value interval of each target index;

the flow chart construction module 340 is configured to construct and display a target flow chart based on the target index arrangement order, the height information of the interval frame, and the target index value interval corresponding to each patient;

and a full path display module 350, configured to determine, in response to an index interval selection operation triggered in the target flow graph by a user, a full path of the target flow including a current index value interval selected by the user, and display the full path of the target flow based on a display mode of the current index value interval.

On the basis of the above technical solutions, the height information determining module 330 includes: a patient number determination unit and a height information determination unit.

The patient number determining unit is used for counting the target index value intervals of all the patients and determining the number of the patients corresponding to each index value interval of each target index;

and the height information determining unit is used for determining the height information of the interval frame corresponding to each index value interval of each target index based on the number of patients, wherein the height information of the interval frame is positively correlated with the number of patients.

On the basis of the above technical solutions, the flow chart construction module 340 includes: the device comprises a column index acquisition unit, an interval frame determination unit, a full path determination unit and a flow chart display unit.

The column index acquisition unit is used for determining a target index corresponding to each column in the target flow graph based on the target index arrangement sequence and acquiring a column index of each target index;

the interval frame determining unit is used for determining each interval frame corresponding to each column in the target flow graph based on the interval frame height information corresponding to each index value interval of each target index;

the whole path determining unit is used for sequencing and combining the target index value intervals corresponding to each patient based on the target index ranking order and determining that the index value interval corresponding to each patient flows to the whole path;

and the flow chart display unit is used for connecting the index value intervals to the index value intervals in the whole path, connecting the same connecting lines with each other, constructing a target flow chart and displaying the target flow chart.

On the basis of the technical schemes, the full path determining unit further comprises a full path statistics subunit and a mapping relation establishing subunit.

The whole path counting subunit is used for counting the index value section flow direction whole path corresponding to each patient, determining the number of patients with the same index value section flow direction whole path, and determining the index value section flow direction whole path containing the same index value section;

and the mapping relation establishing subunit is used for establishing a first mapping relation between the index value interval flow direction full path and the flow direction full path identification information, a second mapping relation between the flow direction full path identification information and the number of patients, and a third mapping relation between the index value interval and the flow direction full path identification information.

On the basis of the above technical solutions, the mapping relation establishing subunit is further configured to establish a first key-value pair by using the flow direction full path identification information as the first key information and using the index value interval flow direction full path as the first value information; constructing a second key value pair by taking the flow direction full path identification information as second key information and taking the corresponding patient number as second value information; and constructing a third key value pair by taking the index value interval as third key information and taking the corresponding flow direction full path identification information as third value information.

On the basis of the above technical solutions, the mapping relationship establishing subunit is further configured to determine, based on the third mapping relationship and the current index value interval selected by the user, all target flow direction full path identification information including the current index value interval; determining the number of target patients corresponding to each target flow direction full path based on the second mapping relation and the identification information of each target flow direction full path; and determining a target flow direction full path corresponding to the current index value interval based on the first mapping relation and the identification information of each target flow direction full path.

On the basis of the above technical solutions, the mapping relationship establishing subunit is further configured to, if the user selects at least two current index value intervals, determine, based on the third mapping relationship and each current index value interval selected by the user, each piece of first flow direction full path identification information including each current index value interval; merging the first flow direction full path identification information corresponding to each current index value interval belonging to the same index, and acquiring second flow direction full path identification information corresponding to the index based on a merging result; and performing intersection processing on the second flow direction full path identification information corresponding to each index, and acquiring the target flow direction full path identification information based on an intersection result.

On the basis of the technical solutions, the flow chart display unit is further configured to determine a target link width corresponding to each target flow direction full path based on the number of target patients corresponding to each target flow direction full path; determining a target display color based on the display color of the current index value interval; and connecting the index value intervals of each target flow in the full path based on the target connecting line width, and connecting the same connecting lines to each other to display in a target display color.

According to the technical scheme provided by the embodiment of the invention, a plurality of data are acquired; discretizing the actual index value of the target index in each patient data based on the preset target index and the index value interval of each target index, and determining the target index value interval corresponding to the actual index value; determining section frame height information corresponding to each index value section of each target index based on the target index value section; constructing and displaying a target flow chart based on the target index arrangement sequence, the interval frame height information and the target index value interval corresponding to each patient; the target flow direction full path of the current index value interval is determined in response to the index interval selection operation triggered by the user in the target flow direction graph, and the target flow direction full path is integrally displayed based on the display mode of the current index value interval, so that the technical problem that the whole flow direction information cannot be visually and quickly viewed when the data flow direction is displayed is solved, the whole preview of the whole data flow direction is realized, and the use experience of the user is improved.

The data processing device provided by the embodiment of the disclosure can execute the data flow direction display method provided by any embodiment of the disclosure, and has corresponding functional modules and beneficial effects of the execution method.

It should be noted that, the units and modules included in the apparatus are merely divided according to functional logic, but are not limited to the above division as long as the corresponding functions can be implemented; in addition, specific names of the functional units are also only used for distinguishing one functional unit from another, and are not used for limiting the protection scope of the embodiments of the present disclosure.

Example four

Fig. 8 is a schematic structural diagram of an electronic device according to a fifth embodiment of the present invention. The electronic device 10 is intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device may also represent various forms of mobile devices, such as personal digital assistants, cellular phones, smart phones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the inventions described and/or claimed herein.

As shown in fig. 8, the electronic device 10 includes at least one processor 11, and a memory communicatively connected to the at least one processor 11, such as a Read Only Memory (ROM) 12, a Random Access Memory (RAM) 13, and the like, wherein the memory stores a computer program executable by the at least one processor, and the processor 11 can perform various suitable actions and processes according to the computer program stored in the Read Only Memory (ROM) 12 or the computer program loaded from a storage unit 18 into the Random Access Memory (RAM) 13. In the RAM 13, various programs and data necessary for the operation of the electronic apparatus 10 can also be stored. The processor 11, the ROM 12, and the RAM 13 are connected to each other via a bus 14. An input/output (I/O) interface 15 is also connected to bus 14.

A number of components in the electronic device 10 are connected to the I/O interface 15, including: an input unit 16 such as a keyboard, a mouse, or the like; an output unit 17 such as various types of displays, speakers, and the like; a storage unit 18 such as a magnetic disk, optical disk, or the like; and a communication unit 19 such as a network card, modem, wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information/data with other devices via a computer network such as the internet and/or various telecommunication networks.

The processor 11 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various processors running machine learning model algorithms, a Digital Signal Processor (DSP), and any suitable processor, controller, microcontroller, or the like. The processor 11 performs the various methods and processes described above, such as a road surface identification method.

In some embodiments, the pavement identification method may be implemented as a computer program that is tangibly embodied in a computer-readable storage medium, such as storage unit 18. In some embodiments, part or all of the computer program may be loaded and/or installed onto the electronic device 10 via the ROM 12 and/or the communication unit 19. When the computer program is loaded into RAM 13 and executed by processor 11, one or more steps of the road surface identification method described above may be performed. Alternatively, in other embodiments, the processor 11 may be configured to perform the data flow exposure method by any other suitable means (e.g., by means of firmware).

Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuitry, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), system on a chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs that are executable and/or interpretable on a programmable system including at least one programmable processor, which may be special or general purpose, receiving data and instructions from, and transmitting data and instructions to, a storage system, at least one input device, and at least one output device.

A computer program for implementing the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the computer programs, when executed by the processor, cause the functions/acts specified in the flowchart and/or block diagram block or blocks to be performed. A computer program can execute entirely on a machine, partly on a machine, as a stand-alone software package partly on a machine and partly on a remote machine or entirely on a remote machine or server.

In the context of the present invention, a computer-readable storage medium may be a tangible medium that can contain, or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. A computer readable storage medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. Alternatively, the computer readable storage medium may be a machine readable signal medium. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

To provide for interaction with a user, the systems and techniques described here can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) by which a user can provide input to the electronic device. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic, speech, or tactile input.

The systems and techniques described here can be implemented in a computing system that includes a back-end component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such back-end, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), blockchain networks, and the internet.

The computing system may include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also called a cloud computing server or a cloud host, and is a host product in a cloud computing service system, so that the defects of high management difficulty and weak service expansibility in the traditional physical host and VPS service are overcome. It should be understood that various forms of the flows shown above may be used, with steps reordered, added, or deleted. For example, the steps described in the present invention may be executed in parallel, sequentially, or in different orders, and are not limited herein as long as the desired results of the technical solution of the present invention can be achieved. The above-described embodiments should not be construed as limiting the scope of the invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions may be made in accordance with design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A data flow direction display method is characterized by comprising the following steps:

acquiring a plurality of patient data;

discretizing an actual index value of the target index in each piece of patient data based on a plurality of preset target indexes and at least two index value intervals of each target index to determine a target index value interval corresponding to the actual index value;

constructing and displaying a target flow chart based on the target index arrangement sequence, the height information of the interval frame and the target index value interval corresponding to each patient;

and responding to an index interval selection operation triggered by a user in the target flow graph, determining a target flow direction full path containing a current index value interval selected by the user, and integrally displaying the target flow direction full path based on a display mode of the current index value interval.

2. The method according to claim 1, wherein determining interval frame height information corresponding to each index value interval of each target index based on target index value intervals of all patients comprises:

counting the target index value intervals of all patients, and determining the number of patients corresponding to each index value interval of each target index;

and determining interval frame height information corresponding to each index value interval of each target index based on the number of patients, wherein the interval frame height information is positively correlated with the number of patients.

3. The method according to claim 1, wherein constructing and displaying a target flow graph based on a target index arrangement order, the interval frame height information and a target index value interval corresponding to each patient comprises:

determining a target index corresponding to each column in the target flow graph based on the target index arrangement sequence, and obtaining a column index of each target index;

determining each interval frame corresponding to each column in the target flow graph based on the interval frame height information corresponding to each index value interval of each target index;

based on the target index arrangement sequence, carrying out sequencing combination on the target index value interval corresponding to each patient, and determining that the index value interval corresponding to each patient flows to the full path;

and connecting the index value intervals to the index value intervals in the whole path, connecting the same connecting lines to each other, constructing a target flow diagram, and displaying the target flow diagram.

4. The method of claim 3, further comprising, after determining the metric value interval corresponding to each patient flows to the full path:

counting the index value interval flow direction full path corresponding to each patient, and determining the number of patients with the same index value interval flow direction full path and the index value interval flow direction full path containing the same index value interval;

establishing a first mapping relation between the index value interval flow direction full path and the flow direction full path identification information, a second mapping relation between the flow direction full path identification information and the number of patients, and a third mapping relation between the index value interval and the flow direction full path identification information.

5. The method of claim 4, wherein establishing a first mapping between metric segment flow to full path and flow to full path identification information, a second mapping between flow to full path identification information and patient number, and a third mapping between metric segment and flow to full path identification information comprises:

constructing a first key value pair by taking the flow direction full path identification information as first key information and taking the index value interval flow direction full path as first value information;

constructing a second key value pair by taking the flow direction full path identification information as second key information and taking the corresponding patient number as second value information;

and constructing a third key value pair by taking the index value interval as third key information and taking the corresponding flow direction full path identification information as third value information.

6. The method of claim 4, wherein determining the target flow full path containing the current metric value interval selected by the user comprises:

determining all target flow direction full-path identification information containing the current index value interval based on the third mapping relation and the current index value interval selected by the user;

determining the number of target patients corresponding to each target flow direction full path based on the second mapping relation and the identification information of each target flow direction full path;

and determining a target flow direction full path corresponding to the current index value interval based on the first mapping relation and the identification information of each target flow direction full path.

7. The method according to claim 6, wherein determining, based on the third mapping relationship and a current metric value interval selected by a user, all-path identification information of each target flow including the current metric value interval comprises:

if the user selects at least two current index value intervals, determining each piece of first flow direction full path identification information containing each current index value interval based on the third mapping relation and each current index value interval selected by the user;

merging the first flow direction full path identification information corresponding to each current index value interval belonging to the same index, and acquiring second flow direction full path identification information corresponding to the index based on a merging result;

and performing intersection processing on the second flow direction full path identification information corresponding to each index, and acquiring the target flow direction full path identification information based on an intersection result.

8. The method of claim 1, wherein the integrally displaying the target flow to the full path based on the display mode of the current index value interval comprises:

determining the target connecting line width corresponding to each target flow direction full path based on the target patient number corresponding to each target flow direction full path;

determining a target display color based on the display color of the current index value interval;

and connecting the index value intervals of each target flow in the whole path based on the target connecting line width, and connecting the same connecting lines to each other to display in the target display color.

9. A data stream presentation device, comprising:

a data acquisition module for acquiring a plurality of patient data;

the height information determination module is used for determining interval frame height information corresponding to each index value interval of each target index based on the target index value intervals of all patients;

the flow chart construction module is used for constructing and displaying a target flow chart based on the target index arrangement sequence, the height information of the interval frame and the target index value interval corresponding to each patient;

10. An electronic device, characterized in that the electronic device comprises:

one or more processors;

a storage device for storing one or more programs,

when executed by the one or more processors, cause the one or more processors to implement a data stream presentation method as claimed in any one of claims 1-8.