CN117373664B - Coronary artery postoperative dangerous data analysis early warning system based on digital therapy - Google Patents
Coronary artery postoperative dangerous data analysis early warning system based on digital therapy Download PDFInfo
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- 230000002980 postoperative effect Effects 0.000 title claims abstract description 76
- 238000007405 data analysis Methods 0.000 title claims abstract description 25
- 238000002560 therapeutic procedure Methods 0.000 title claims abstract description 21
- 210000004351 coronary vessel Anatomy 0.000 title claims abstract description 16
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- 239000002872 contrast media Substances 0.000 description 3
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- 208000037804 stenosis Diseases 0.000 description 1
- 230000036262 stenosis Effects 0.000 description 1
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Abstract
The invention discloses a coronary artery postoperative dangerous data analysis early warning system based on digital therapy, which relates to the technical field of data analysis and comprises a comparison number acquisition module, a comparison data analysis module, a judgment module and a display module; the method solves the technical problems that whether the change trend of the creatinine data of a patient is in the normal change trend or not can not be judged, and the abnormal renal function of the patient can be interfered in time and is insufficient when the creatinine data of the patient is monitored: the change trend marks of the monitored patient in each period are compared with the control marks of each period, an abnormal mark in the corresponding period is generated, and medical staff is reminded of the abnormal change trend of creatinine data of the monitored patient in the corresponding period through the abnormal mark, so that the medical staff is reminded of timely checking and intervening the monitored patient.
Description
Technical Field
The invention relates to the technical field of data analysis, in particular to a coronary artery postoperative risk data analysis early warning system based on digital therapy.
Background
Coronary artery surgery, which is a common cardiovascular interventional therapy, can clearly show stenosis or blockage of coronary arteries by injecting contrast media into the coronary arteries, helping doctors determine diagnosis and treatment schemes of cardiovascular diseases, however, although coronary artery angiography is widely used clinically, complications may occur in some patients.
Among the most common complications is contrast nephropathy, namely, a contrast agent is burdened on the kidney, which leads to abnormal renal function, and after contrast agent is injected, the kidney is burdened, the contrast nephropathy is induced, and the main clinical manifestation of the contrast nephropathy caused by creatinine elevation is creatinine elevation, which is an index for measuring renal function, so that the creatinine level of a patient needs to be monitored after coronary operation of digital therapy is performed;
However, when the creatinine level of a patient after coronary operation after digital therapy is performed is monitored, the creatinine data of the patient is monitored, whether the change trend of the creatinine data of the patient after operation is in the normal change trend cannot be judged, so that the abnormal renal function of the patient is not completely intervened in time, the treatment time is delayed, and further a coronary operation dangerous data analysis and early warning system based on digital therapy is provided.
Disclosure of Invention
The invention aims to provide a coronary artery postoperative dangerous data analysis and early warning system based on digital therapy, which solves the technical problems that whether the change trend of creatinine data of a patient is in a normal change trend or not can not be judged, and the abnormal renal function of the patient can not be intervened in time.
The aim of the invention can be achieved by the following technical scheme:
coronary artery postoperative risk data analysis early warning system based on digital therapy includes:
the control data acquisition module is used for acquiring postoperative creatinine data of n control patients in a postoperative time range z and sending the postoperative creatinine data to the control data analysis module, wherein n is more than or equal to 1;
The control data analysis module is used for equally dividing the postoperative time range z into v postoperative time periods, then analyzing postoperative creatinine data of control patients in the v postoperative time periods, acquiring a data change trend corresponding to the creatinine data in the v postoperative time periods through an analysis result, marking the data change trend as control marks of all the time periods, and inputting the control marks of all the time periods to the judgment module;
the method for acquiring the creatinine data of the monitored patient in real time in each period specifically refers to acquiring the creatinine data of the monitored patient in real time at the starting time and the ending time of each period;
The judging module is used for acquiring the creatinine data of the monitored patient in real time, analyzing the creatinine data, acquiring a change trend mark of the creatinine data of the monitored patient in each time period according to an analysis result, comparing and analyzing the creatinine data with a control mark of a corresponding time period, generating an abnormal mark according to the analysis result, and sending the abnormal mark to the display module;
the display module is used for displaying the abnormal mark and the abnormal mark time period and displaying the corresponding change trend marks of the abnormal mark time period.
As a further scheme of the invention: the post-operative time range z refers to the time range in which the control patient is pushing forward for z time after performing the digital therapy-based coronary surgery, z > 0.
As a further scheme of the invention: the specific way of obtaining the control marks of each period is as follows:
s1: selecting one from v postoperative time periods as a target time period;
S2: the method comprises the steps of acquiring postoperative creatinine data of n control patients at starting time and finishing time in a target period, analyzing and judging the postoperative creatinine data, acquiring corresponding data change trend of the n control patients in the target period according to analysis and judgment results, and acquiring the corresponding data change trend of the n control patients in the target period, wherein the specific mode comprises the following steps:
S21: selecting a control patient as a designated patient, and marking postoperative creatinine data of the designated patient at the starting time and the ending time in a target period as A1 and A2 respectively;
S22: marking the time points of the start time and the end time of the target period as t1 and t2, respectively, and the time interval between the time point t1 of the start time and the time point t2 of the end time as L, where l=z/v;
S23: performing coordinated processing on postoperative creatinine data of a designated patient at the starting time and the ending time of a target period, taking time points of the starting time and the ending time of the target period as x-axis coordinates, and taking postoperative creatinine data corresponding to the starting time and the ending time of the target period as y-axis coordinates, namely, performing coordinated processing on the postoperative creatinine data of the designated patient at the starting time and the ending time of the target period, wherein the results are (t 1, A1) and (t 2, A2);
s24: calculating and acquiring the slope K1 between two coordinate points of the starting time (t 1, A1) and the ending time (t 2, A2) of the appointed patient in the target period, wherein the specific calculating and acquiring mode is as follows: k1 = [ A2-A1]/[ x2-x1];
s25: the steps S21-S24 are repeated, so that the corresponding slopes of n control patients in the target period can be obtained, and the corresponding slopes are marked as K1, K2, … … and Kn in sequence;
S3: the number of positive values in the corresponding slopes K1, K2, … …, kn of the n control patients within the target period is marked d, the number of negative values is marked e, the number of zero is marked f, where d+e+f=n is satisfied;
S4: the values corresponding to d, e and f are sequenced from small to large, and the change trend mark of the target period is judged according to the positive and negative conditions of the corresponding slopes with the largest values in d, e and f;
S5: and repeating the steps S1-S4 to obtain change trend marks corresponding to the change trend of the creatinine data in v time periods, and taking the change trend marks as comparison marks of the time periods.
As a further scheme of the invention: the specific mode for judging the change trend sign of the corresponding time period through the positive and negative conditions of the slope is as follows: and marking the change trend of the corresponding time period as an increasing mark if the slope is a positive value, marking the change trend of the corresponding time period as a decreasing mark if the slope is a negative value, and marking the change trend of the corresponding time period as a stable mark if the slope is zero.
As a further scheme of the invention: the specific way of generating the anomaly flag is:
S01: the method comprises the steps of performing coordinated processing on postoperative creatinine data of a monitored patient at the starting time and the ending time of each period, taking time points of the monitored patient at the starting time and the ending time of each period as x-axis coordinates, and taking postoperative creatinine data of the monitored patient corresponding to the starting time and the ending time of each period as y-axis coordinates, wherein the coordinate processing results of the postoperative creatinine data of the monitored patient at the starting time and the ending time of each period are (m 1v, B1 v) and (m 2v, B2 v);
S02: by passing through Calculating and obtaining the slope Kv of the monitored patient in each period, wherein v is more than or equal to n and more than or equal to 1;
S03: judging the change trend sign of the target time period by monitoring the positive and negative conditions of the slope corresponding to the slope Kv of the patient in each time period, if the change trend sign is positive, the change trend sign is an increasing sign, if the change trend sign is negative, the change trend sign is a decreasing sign, and if the change trend sign is zero, the change trend sign is a stable sign;
S04: comparing the change trend marks of the monitored patient in each period with the comparison marks of each period, if the change trend marks are the same, not performing any processing, if the change trend marks are different, generating abnormal marks, sending the abnormal marks to the display module, and outputting the change trend marks of the corresponding periods to the display module.
As a further scheme of the invention: the method for acquiring the creatinine data of the monitored patient in real time in each period specifically refers to acquiring the creatinine data of the monitored patient in real time at the starting time and the ending time of each period.
As a further scheme of the invention: the number of abnormal marks generated by the monitored patient in v time periods is marked as P, and when (P/v) > theta 1, an important monitoring mark is generated and is output to the display module.
As a further scheme of the invention: the display module is used for displaying the key monitoring marks, the abnormal marks and the abnormal mark time periods and displaying the corresponding change trend marks of the abnormal mark time periods.
The invention has the beneficial effects that:
According to the invention, the change trend marks of the monitored patient in each time period are compared with the control marks of each time period to generate the abnormal marks of the corresponding time periods, the abnormal marks are used for reminding medical staff of monitoring that the change trend of creatinine data of the patient in the corresponding time period is abnormal, reminding the medical staff of checking and intervening the monitored patient in time, and meanwhile, the change trend marks corresponding to the abnormal mark time periods are displayed, so that the medical staff can conveniently check and intervening the medical staff in a targeted manner according to the corresponding change trend marks, the postoperative creatinine data recovery condition of the patient is conveniently monitored, and the possibility of complications of the patient is reduced;
According to the invention, the number of the abnormal marks generated by the monitored patient in v time periods is analyzed to generate the key monitoring marks, so that medical staff can conveniently carry out key monitoring on the monitored patient according to the key monitoring marks, and timely check and intervention on the monitored patient are carried out, thereby being beneficial to postoperative recovery of the monitored patient and reducing the occurrence of complications of the monitored patient.
Drawings
The invention is further described below with reference to the accompanying drawings.
FIG. 1 is a schematic diagram of the system framework of the digital therapy-based post-coronary risk data analysis and early warning system of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Example 1
Referring to fig. 1, the invention relates to a coronary artery postoperative risk data analysis early warning system based on digital therapy, which comprises a comparison number acquisition module, a comparison data analysis module, a judgment module and a display module;
the control data acquisition module is used for acquiring postoperative creatinine data of n control patients in a postoperative time range z and sending the postoperative creatinine data to the control data analysis module, wherein n is more than or equal to 1;
here, the postoperative time range z refers to a time range of the time period of pushing z forwards after the coronary operation based on the digital therapy is completed for a control patient, and a specific value z is drawn by a specific related person according to actual conditions, wherein z is more than 0;
it should be noted that when the control patient is selected, the key features of the default control patient and the detected patient have similarity, and the key features include age, sex, disease type, etc., so that interference of other factors on the result can be reduced, and the comparison is more accurate;
Clinically, there are many ways of obtaining creatinine data, which are all existing and mature technologies, and the most common method of obtaining creatinine data is to take a blood sample of a patient and measure the blood sample by using a serum creatinine measurement method, which is not described in detail herein, and the way of obtaining creatinine data is not specifically defined and described herein;
the control data analysis module is used for equally dividing the postoperative time range z into v postoperative time periods, then analyzing postoperative creatinine data of control patients in the v postoperative time periods, acquiring a data change trend corresponding to the creatinine data in the v postoperative time periods through an analysis result, marking the data change trend as control marks of all the time periods, and simultaneously inputting the control marks of all the time periods into the judgment module, wherein the specific mode for acquiring the control marks of all the time periods is as follows:
s1: selecting one from v postoperative time periods as a target time period;
S2: the method comprises the steps of acquiring postoperative creatinine data of n control patients at starting time and finishing time in a target period, analyzing and judging the postoperative creatinine data, acquiring corresponding data change trend of the n control patients in the target period according to analysis and judgment results, and acquiring the corresponding data change trend of the n control patients in the target period, wherein the specific mode comprises the following steps:
S21: selecting a control patient as a designated patient, and marking postoperative creatinine data of the designated patient at the starting time and the ending time in a target period as A1 and A2 respectively;
S22: marking the time points of the start time and the end time of the target period as t1 and t2, respectively, and the time interval between the time point t1 of the start time and the time point t2 of the end time as L, where l=z/v;
S23: performing coordinated processing on postoperative creatinine data of a designated patient at the starting time and the ending time of a target period, taking time points of the starting time and the ending time of the target period as x-axis coordinates, and taking postoperative creatinine data corresponding to the starting time and the ending time of the target period as y-axis coordinates, namely, performing coordinated processing on the postoperative creatinine data of the designated patient at the starting time and the ending time of the target period, wherein the results are (t 1, A1) and (t 2, A2);
s24: calculating and acquiring the slope K1 between two coordinate points of the starting time (t 1, A1) and the ending time (t 2, A2) of the appointed patient in the target period, wherein the specific calculating and acquiring mode is as follows: k1 = [ A2-A1]/[ x2-x1];
judging the positive and negative of K1, when K1 is positive, indicating that the postoperative creatinine data of the control patient is in a trend of increasing in the target period, when K1 is negative, indicating that the postoperative creatinine data of the control patient is in a trend of decreasing in the target period, and when K1 is zero, indicating that the postoperative creatinine data of the control patient is not changed in the target period;
s25: the steps S21-S24 are repeated, so that the corresponding slopes of n control patients in the target period can be obtained, and the corresponding slopes are marked as K1, K2, … … and Kn in sequence;
S3: the number of positive values in the corresponding slopes K1, K2, … …, kn of the n control patients within the target period is marked d, the number of negative values is marked e, the number of zero is marked f, where d+e+f=n is satisfied;
S4: the values corresponding to d, e and f are sequenced from small to large, the change trend mark of the target period is judged according to the positive and negative conditions of the corresponding slopes with the largest values in d, e and f, the change trend is marked as an increasing mark if the change trend is positive, the change trend is marked as a decreasing mark if the change trend is negative, and the change trend is marked as a stable mark if the change trend is zero;
S5: repeating the steps S1-S4 to obtain change trend marks corresponding to the change trend of the creatinine data in v time periods, and taking the change trend marks as comparison marks of the time periods;
the judging module is used for acquiring the creatinine data of the monitored patient in real time and analyzing the creatinine data, obtaining the change trend marks of the creatinine data of the monitored patient in each time period according to the analysis result, comparing and analyzing the change trend marks with the control marks of the corresponding time periods, generating an abnormal mark according to the analysis result, and sending the abnormal mark to the display module, wherein the specific mode for generating the abnormal mark is as follows:
the method for acquiring the creatinine data of the monitored patient in real time in each period specifically refers to acquiring the creatinine data of the monitored patient in real time at the starting time and the ending time of each period;
S01: the method comprises the steps of performing coordinated processing on postoperative creatinine data of a monitored patient at the starting time and the ending time of each period, taking time points of the monitored patient at the starting time and the ending time of each period as x-axis coordinates, and taking postoperative creatinine data of the monitored patient corresponding to the starting time and the ending time of each period as y-axis coordinates, wherein the coordinate processing results of the postoperative creatinine data of the monitored patient at the starting time and the ending time of each period are (m 1v, B1 v) and (m 2v, B2 v);
S02: by passing through Calculating and obtaining the slope Kv of the monitored patient in each period, wherein v is more than or equal to n and more than or equal to 1;
S03: judging the change trend sign of the target time period by monitoring the positive and negative conditions of the slope corresponding to the slope Kv of the patient in each time period, if the change trend sign is positive, the change trend sign is an increasing sign, if the change trend sign is negative, the change trend sign is a decreasing sign, and if the change trend sign is zero, the change trend sign is a stable sign;
S04: comparing the change trend marks of the monitored patient in each period with the comparison marks of each period, if the change trend marks are the same, not performing any processing, if the change trend marks are different, generating abnormal marks, sending the abnormal marks to the display module, and outputting the change trend marks of the corresponding periods to the display module;
the display module is used for displaying the abnormal mark and the abnormal mark time period and displaying the corresponding change trend mark of the abnormal mark time period;
Comparing the change trend marks of the monitored patient in each time period with the control marks of each time period to generate an abnormal mark of the corresponding time period, reminding medical staff of monitoring that the change trend of creatinine data of the patient in the corresponding time period is abnormal through the abnormal mark, reminding the medical staff of checking and intervening the monitored patient in time, and simultaneously displaying the change trend marks corresponding to the abnormal mark time period, so that the medical staff can check and intervening the medical staff in a targeted manner according to the corresponding change trend marks;
Example two
As an embodiment two of the present application, when the present application is implemented, compared with the embodiment one, the technical solution of the present embodiment is different from the embodiment one only in that in the present embodiment, the number of abnormal marks generated by the monitored patient in v time periods is marked as P, when (P/v) > θ1, an important monitoring mark is generated, and the important monitoring mark is output to the display module, so that the medical staff can monitor the monitored patient according to the important monitoring mark, and check and intervene on the monitored patient in time, thereby facilitating the postoperative recovery of the monitored patient and reducing the occurrence of complications of the monitored patient;
θ1 is a preset value, and specific numerical values are drawn by related personnel according to experience;
Example III
As an embodiment three of the present application, in the implementation of the present application, the technical solution of the present embodiment is to combine the solutions of the above embodiment one and embodiment two compared with the embodiment one and embodiment two.
The above formulas are all formulas with dimensionality removed and numerical calculation, the formulas are formulas with the latest real situation obtained by software simulation through collecting a large amount of data, and preset parameters and threshold selection in the formulas are set by those skilled in the art according to the actual situation.
The foregoing is merely illustrative of the present application, and the present application is not limited thereto, and any person skilled in the art will readily recognize that variations or substitutions are within the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (6)
1. Coronary artery postoperative risk data analysis early warning system based on digital therapy, characterized by comprising:
the control data acquisition module is used for acquiring postoperative creatinine data of n control patients in a postoperative time range z and sending the postoperative creatinine data to the control data analysis module, wherein n is more than or equal to 1;
The control data analysis module is used for equally dividing the postoperative time range z into v postoperative time periods, then analyzing postoperative creatinine data of control patients in the v postoperative time periods, acquiring a data change trend corresponding to the creatinine data in the v postoperative time periods through an analysis result, marking the data change trend as control marks of all the time periods, and inputting the control marks of all the time periods to the judgment module;
the method for acquiring the creatinine data of the monitored patient in real time in each period specifically refers to acquiring the creatinine data of the monitored patient in real time at the starting time and the ending time of each period;
The judging module is used for acquiring the creatinine data of the monitored patient in real time, analyzing the creatinine data, acquiring a change trend mark of the creatinine data of the monitored patient in each time period according to an analysis result, comparing and analyzing the creatinine data with a control mark of a corresponding time period, generating an abnormal mark according to the analysis result, and sending the abnormal mark to the display module;
The display module is used for displaying the abnormal mark and the abnormal mark time period and displaying the corresponding change trend marks of the abnormal mark time period;
The specific way of obtaining the control marks of each period is as follows:
s1: selecting one from v postoperative time periods as a target time period;
S2: the method comprises the steps of acquiring postoperative creatinine data of n control patients at starting time and finishing time in a target period, analyzing and judging the postoperative creatinine data, acquiring corresponding data change trend of the n control patients in the target period according to analysis and judgment results, and acquiring the corresponding data change trend of the n control patients in the target period, wherein the specific mode comprises the following steps:
S21: selecting a control patient as a designated patient, and marking postoperative creatinine data of the designated patient at the starting time and the ending time in a target period as A1 and A2 respectively;
S22: marking the time points of the start time and the end time of the target period as t1 and t2, respectively, and the time interval between the time point t1 of the start time and the time point t2 of the end time as L, where l=z/v;
S23: performing coordinated processing on postoperative creatinine data of a designated patient at the starting time and the ending time of a target period, taking time points of the starting time and the ending time of the target period as x-axis coordinates, and taking postoperative creatinine data corresponding to the starting time and the ending time of the target period as y-axis coordinates, namely, performing coordinated processing on the postoperative creatinine data of the designated patient at the starting time and the ending time of the target period, wherein the results are (t 1, A1) and (t 2, A2);
s24: calculating and acquiring the slope K1 between two coordinate points of the starting time (t 1, A1) and the ending time (t 2, A2) of the appointed patient in the target period, wherein the specific calculating and acquiring mode is as follows: k1 = [ A2-A1]/[ x2-x1];
s25: the steps S21-S24 are repeated, so that the corresponding slopes of n control patients in the target period can be obtained, and the corresponding slopes are marked as K1, K2, … … and Kn in sequence;
S3: the number of positive values in the corresponding slopes K1, K2, … …, kn of the n control patients within the target period is marked d, the number of negative values is marked e, the number of zero is marked f, where d+e+f=n is satisfied;
S4: the values corresponding to d, e and f are sequenced from small to large, and the change trend mark of the target period is judged according to the positive and negative conditions of the corresponding slopes with the largest values in d, e and f;
S5: repeating the steps S1-S4 to obtain change trend marks corresponding to the change trend of the creatinine data in v time periods, and taking the change trend marks as comparison marks of the time periods;
The specific way of generating the anomaly flag is:
S01: the method comprises the steps of performing coordinated processing on postoperative creatinine data of a monitored patient at the starting time and the ending time of each period, taking time points of the monitored patient at the starting time and the ending time of each period as x-axis coordinates, and taking postoperative creatinine data of the monitored patient corresponding to the starting time and the ending time of each period as y-axis coordinates, wherein the coordinate processing results of the postoperative creatinine data of the monitored patient at the starting time and the ending time of each period are (m 1v, B1 v) and (m 2v, B2 v);
S02: by passing through Calculating and obtaining the slope Kv of the monitored patient in each period, wherein v is more than or equal to n and more than or equal to 1;
S03: judging the change trend sign of the target time period by monitoring the positive and negative conditions of the slope corresponding to the slope Kv of the patient in each time period, if the change trend sign is positive, the change trend sign is an increasing sign, if the change trend sign is negative, the change trend sign is a decreasing sign, and if the change trend sign is zero, the change trend sign is a stable sign;
S04: comparing the change trend marks of the monitored patient in each period with the comparison marks of each period, if the change trend marks are the same, not performing any processing, if the change trend marks are different, generating abnormal marks, sending the abnormal marks to the display module, and outputting the change trend marks of the corresponding periods to the display module.
2. The digital therapy-based coronary post-operative hazard data analysis and early warning system of claim 1, wherein the postoperative time range z refers to a time range in which the control patient is pushed forward for z time period after performing the digital therapy-based coronary surgery, z > 0.
3. The coronary artery postoperative risk data analysis and early warning system based on digital therapy according to claim 1, wherein the specific way for judging the change trend sign of the corresponding period according to the positive and negative conditions of the slope is as follows: and marking the change trend of the corresponding time period as an increasing mark if the slope is a positive value, marking the change trend of the corresponding time period as a decreasing mark if the slope is a negative value, and marking the change trend of the corresponding time period as a stable mark if the slope is zero.
4. The digital therapy-based coronary artery postoperative risk data analysis and early warning system according to claim 3, wherein the real-time acquisition of creatinine data of the monitored patient in each period is specifically that the creatinine data of the monitored patient is acquired in real time at the starting time and the ending time of each period.
5. The digital therapy-based coronary artery postoperative risk data analysis and early warning system according to claim 4, wherein the number of abnormal marks generated by the monitored patient in v time periods is marked as P, when (P/v) > theta 1, an important monitoring mark is generated and output to the display module, and theta 1 is a preset value.
6. The digital therapy-based coronary artery postoperative risk data analysis and early warning system according to claim 5, wherein the display module is configured to display an important monitoring mark, an abnormality mark, and an abnormality mark period, and simultaneously display a corresponding change trend mark of the abnormality mark period.
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