CN113035307B - Nursing system and method for preventing potential complications of cardiology - Google Patents
Nursing system and method for preventing potential complications of cardiology Download PDFInfo
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Abstract
The invention discloses a nursing system and a nursing method for preventing potential complications of a cardiology department, wherein normal life index information and abnormal life index information of a first user are obtained; obtaining a first anomaly ratio of the normal life index information and the abnormal life index information; obtaining the degree of association between the abnormal life index and the cardiology complications; obtaining a preset relevance threshold, and extracting a first abnormal index set of which the relevance between the abnormal life index and the cardiology complication is within the preset relevance threshold; determining the cardiology morbidity grade of the first user according to a first abnormal index set; obtaining a first care plan according to the disease grade and the first abnormality ratio; nursing the first user according to the first care plan. The problem of lack among the prior art intelligent data based on patient's health information to the user and carry out the effectual technique of preventing to the complication of intracardiac branch of academic or vocational study patient is solved.
Description
Technical Field
The invention relates to the field of nursing of cardiology, in particular to a nursing system and method for preventing potential complications of cardiology.
Background
The cardiovascular system is used for cardiovascular department, and the diseases responsible for the cardiovascular system comprise angina pectoris, hypertension, sudden death, arrhythmia, heart failure, premature beat, arrhythmia, myocardial infarction, cardiomyopathy, myocarditis, acute myocardial infarction and other cardiovascular diseases.
However, in the process of implementing the technical solution of the invention in the embodiments of the present application, the inventors of the present application find that the above-mentioned technology has at least the following technical problems:
the technical problem that the data of a user are analyzed intelligently based on the body information of a patient, and then the complication of a patient in the cardiology department is effectively prevented is solved in the prior art.
Disclosure of Invention
The embodiment of the application provides a nursing system and method for preventing potential complications of the cardiology department, solves the technical problems that the data of a user is analyzed based on the body information of a patient intelligently in the prior art, and then the complications of the cardiology department patient are effectively prevented, achieves the technical effects of analyzing and processing various indexes of the patient based on the body information of the patient intelligently, and further effectively preventing the complications of the cardiology department patient.
In view of the above problems, the embodiments of the present application provide a care system and method for preventing potential complications of cardiology.
In a first aspect, the present application provides a care system for preventing potential complications of cardiology, the system including: a first obtaining unit: the first obtaining unit is used for obtaining normal life index information and abnormal life index information of a first user; a second obtaining unit: the second obtaining unit is used for obtaining a first abnormal ratio of the normal life index information and the abnormal life index information; a third obtaining unit: the third obtaining unit is used for obtaining the correlation degree of the abnormal life index and the cardiology complication; a fourth obtaining unit: the fourth obtaining unit is used for obtaining a preset relevance threshold value; a first extraction unit: the first extraction unit is used for extracting a first abnormal index set of the abnormal life indexes, wherein the correlation degree of the abnormal life indexes and the cardiology complications is within the preset correlation degree threshold value; a first determination unit: the first determining unit is used for determining the cardiology morbidity grade of the first user according to the first abnormal index set; a fifth obtaining unit: the fifth obtaining unit is used for obtaining a first care plan according to the disease grade and the first abnormal ratio; a first care unit: the first care unit is for caring for the first user in accordance with the first care plan.
In another aspect, the present application also provides a method of care for preventing potential complications of cardiology, the method comprising: acquiring normal life index information and abnormal life index information of a first user; obtaining a first anomaly ratio of the normal life index information and the abnormal life index information; obtaining the degree of association between the abnormal life index and the cardiology complications; obtaining a predetermined association threshold; extracting a first abnormal index set of the abnormal life indexes, wherein the correlation degree of the abnormal life indexes and the cardiology complications is within the preset correlation degree threshold value; determining the cardiology morbidity grade of the first user according to the first abnormal index set; obtaining a first care plan according to the disease grade and the first abnormality ratio; nursing the first user according to the first care plan.
One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:
the method comprises the steps of acquiring normal life index information and abnormal life index information of a first user to obtain a first abnormal ratio, extracting a set of the abnormal life index and the cardiology complication, meeting a preset correlation threshold, according to the correlation of the abnormal life index and the cardiology complication, determining the illness grade of the first user, acquiring a first care scheme based on the illness grade and the first abnormal ratio, nursing the first user based on the first care scheme, and further achieving the intelligent effect of analyzing and processing various indexes of the patient based on the body information of the patient to further achieve the technical effect of effectively preventing the cardiology patient from the complications.
The foregoing description is only an overview of the technical solutions of the present application, and the present application can be implemented according to the content of the description in order to make the technical means of the present application more clearly understood, and the following detailed description of the present application is given in order to make the above and other objects, features, and advantages of the present application more clearly understandable.
Drawings
FIG. 1 is a schematic flow chart of a nursing method for preventing potential complications in cardiology department according to an embodiment of the present application;
FIG. 2 is a schematic structural diagram of a care system for preventing potential complications in cardiology department according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of an exemplary electronic device according to an embodiment of the present application.
Description of reference numerals: a first obtaining unit 11, a second obtaining unit 12, a third obtaining unit 13, a fourth obtaining unit 14, a first extracting unit 15, a first determining unit 16, a fifth obtaining unit 17, a first nursing unit 18, a bus 300, a receiver 301, a processor 302, a transmitter 303, a memory 304, a bus interface 305.
Detailed Description
The embodiment of the application provides a nursing system and method for preventing potential complications of the cardiology department, solves the technical problems that the data of a user is analyzed based on the body information of a patient intelligently in the prior art, and then the complications of the cardiology department patient are effectively prevented, achieves the technical effects of analyzing and processing various indexes of the patient based on the body information of the patient intelligently, and further effectively preventing the complications of the cardiology department patient.
Hereinafter, example embodiments according to the present application will be described in detail with reference to the accompanying drawings. It should be apparent that the described embodiments are merely some embodiments of the present application and not all embodiments of the present application, and it should be understood that the present application is not limited to the example embodiments described herein.
Summary of the application
The cardiovascular system is used for cardiovascular department, and the diseases responsible for the cardiovascular system comprise angina pectoris, hypertension, sudden death, arrhythmia, heart failure, premature beat, arrhythmia, myocardial infarction, cardiomyopathy, myocarditis, acute myocardial infarction and other cardiovascular diseases. The technical problem that the data of a user are analyzed intelligently based on the body information of a patient, and then the complication of a patient in the cardiology department is effectively prevented is solved in the prior art.
In view of the above technical problems, the technical solution provided by the present application has the following general idea:
the embodiment of the application provides a nursing system for preventing potential complications of cardiology department, comprising: a first obtaining unit: the first obtaining unit is used for obtaining normal life index information and abnormal life index information of a first user; a second obtaining unit: the second obtaining unit is used for obtaining a first abnormal ratio of the normal life index information and the abnormal life index information; a third obtaining unit: the third obtaining unit is used for obtaining the correlation degree of the abnormal life index and the cardiology complication; a fourth obtaining unit: the fourth obtaining unit is used for obtaining a preset relevance threshold value; a first extraction unit: the first extraction unit is used for extracting a first abnormal index set of the abnormal life indexes, wherein the correlation degree of the abnormal life indexes and the cardiology complications is within the preset correlation degree threshold value; a first determination unit: the first determining unit is used for determining the cardiology morbidity grade of the first user according to the first abnormal index set; a fifth obtaining unit: the fifth obtaining unit is used for obtaining a first care plan according to the disease grade and the first abnormal ratio; a first care unit: the first care unit is for caring for the first user in accordance with the first care plan.
Having thus described the general principles of the present application, various non-limiting embodiments thereof will now be described in detail with reference to the accompanying drawings.
Example one
As shown in fig. 1, the present application provides a nursing method for preventing potential complications of cardiology, wherein the method includes:
step S100: acquiring normal life index information and abnormal life index information of a first user;
in particular, the vital indicators are items of characterizing information of the first user indicating a physical condition of the first user, and the indicators include, but are not limited to: the method comprises the steps of obtaining relevant detection results of a first user through a detection hospital of the first user on the premise that the first user is allowed, analyzing the detection results, and obtaining normal life index information and abnormal life index information of the first user.
Step S200: obtaining a first anomaly ratio of the normal life index information and the abnormal life index information;
specifically, based on the obtained normal life index information and abnormal life index information, the number of the normal life index information and the number of the abnormal life index information of the first user are obtained, further, the abnormal ratio of each report sheet may be obtained according to the difference between the time and the category of the detection of the first user, and the method may further include obtaining a ratio of total abnormality to total normal.
Step S300: obtaining the degree of association between the abnormal life index and the cardiology complications;
step S400: obtaining a predetermined association threshold;
specifically, the degree of association refers to the degree of association between the monitored vital sign information and each complication of the department of cardiology, that is, the closeness between the individual information of the physical sign and the complication. For example, when the blood pressure index of the first user is abnormal, the first user may have cerebral hemorrhage, ischemic stroke, and the like, and the correlation degree between the blood pressure information and the cerebral hemorrhage and the ischemic stroke is higher, statistics of the correlation degree between each item of the detected physiological index of the first user and each item of the cardiology complications is performed, a first statistical result is obtained, and a correlation threshold is set, and the threshold can be set according to big data, that is, the relationship between the abnormality of vital signs and the probability of the occurrence of the complications under different correlation degrees is set.
Step S500: extracting a first abnormal index set of the abnormal life indexes, wherein the correlation degree of the abnormal life indexes and the cardiology complications is within the preset correlation degree threshold value;
step S600: determining the cardiology morbidity grade of the first user according to the first abnormal index set;
specifically, according to the predetermined relevance threshold, the obtained statistical result of the relevance is analyzed, that is, whether the relevance in the statistical result meets the relevance threshold is judged, the statistical result meeting the relevance threshold is extracted to obtain a first abnormal index set, and based on the first abnormal index set, the disease level of the first user's cardiology complications is estimated, that is, the probability that the first user may suffer from the complications is obtained.
Step S700: obtaining a first care plan according to the disease grade and the first abnormality ratio;
specifically, the level of the first user suffering from the disease is finely adjusted in real time based on the disease level and the first abnormality ratio, an actual risk value of the first user is determined, and a first care plan is generated based on the risk value and abnormal vital sign information. The disease grade is further refined according to the first abnormity ratio, so that the disease grade is judged more accurately, and a foundation is tamped for the follow-up generation of a more matched care scheme.
Step S800: nursing the first user according to the first care plan.
Specifically, the generated first nursing scheme is applied to nursing of the first user, so that the intelligent body information of the patient is achieved, various indexes of the patient are analyzed and processed, and the technical effect of effectively preventing the complications of the cardiology department patient is achieved.
Further, the obtaining a first care plan according to the disease grade and the first abnormal ratio, in step S700 of this embodiment of the present application, further includes:
step S710: constructing a complication database in a grading manner according to the ill grade;
step S720: extracting first complication information from the complication database of the corresponding grade according to the first abnormity ratio and the first abnormity index set;
step S730: obtaining characteristic information of the first complication according to the first complication information;
step S740: obtaining a first care plan according to the characteristic information of the first complication.
Specifically, the complication database is a database of complications constructed according to the disease grade information of the first user, that is, a database of complications corresponding to each grade. The disease grade includes but is not limited to low-risk, medium-risk, high-risk, very high-risk and the like. Constructing exclusive databases corresponding to different illness grades based on different illness grades, extracting data in the databases corresponding to the illness grades of the first user according to a first abnormal ratio of the first user and a set of first abnormal indexes, namely firstly obtaining all complications corresponding to the illness grades, carrying out relevance screening on the complications according to the set of abnormal indexes and the abnormal ratio information, extracting first complication information, extracting morbidity characteristic information of the first complication based on the first complication information, and obtaining a corresponding nursing scheme according to the morbidity characteristic information. Further, the extracting of the complication information further includes extracting other association degree information of which the association degree meets a set threshold, and then extracting corresponding feature information to obtain a suitable care plan. By constructing database information corresponding to the complications and the illness grades, a foundation is laid for accurate matching and tamping of the complications in the follow-up process, and a more suitable nursing scheme can be obtained.
Further, the embodiment of the present application further includes:
step S741: obtaining a first diet control type and a first control quantity according to the cardiology disease grade of the first user;
step S742: obtaining a first diet care plan according to the first diet control type and the control amount;
step S743: performing dietary care on the first user according to the first dietary care regimen.
Further, the embodiment of the present application further includes:
step S744: obtaining diet recommendation information of the first complication according to the first complication;
step S745: adjusting the first dietary care plan according to the dietary recommendation information to obtain a second dietary care plan;
step S746: performing dietary care on the first user according to the second dietary care regimen.
Specifically, the diet type and the control amount information of diet of the first user are determined based on the disease level of the first user, for example, when the first user is a coronary heart disease patient and the disease level is high, fat meat, animal oil, sweetmeat, animal liver, egg yolk, fish egg and other high-fat and high-heat food are food information that the first user is not suitable for eating. Further, the determining process further includes adjusting the first user's diet control according to the information of the number, kind, severity, etc. of complications based on the information of the complications information of the database matched with the illness level. Further, the process of controlling further comprises setting the nutritional needs of the first user, i.e. adjusting the type and amount of diet on the basis of satisfying the current nutritional status of the first user, such that the diet of the first user is in care of diet of the first user with respect to inhibiting or not promoting the generation and worsening of complications, according to the first dietary care regimen.
Further, the embodiment of the present application further includes:
step S910: obtaining a throat health status of the first user;
step S920: obtaining a lung health status of the first user;
step S930: obtaining a first respiratory system influence factor according to the throat health status and the lung health status;
step S940: obtaining a first respiratory system care plan according to the first respiratory system influence factors and the cardiology morbidity grade of the first user;
step S950: providing respiratory care to the first user in accordance with the first respiratory care regimen.
Specifically, the throat health status is related to evaluation of health condition of the throat of the first user, and includes evaluation of itching throat, dry cough, sputum accumulation, throat decay, dryness and the like of the throat, the health status of the throat of the first user is evaluated through the related data to obtain health status information of the throat of the first user, and the lung health status information of the first user is obtained through a lung examination result of the first user. Evaluating influence factors of the respiratory system of the first user based on the throat health state information and the lung health state of the first user, correspondingly matching the factors related to the influence factors with a nursing scheme to obtain the nursing scheme of the first respiratory system, and nursing the respiratory system of the first user according to the nursing scheme of the first respiratory system.
Further, the embodiment of the present application further includes:
step S1010: obtaining a preset cardiology disease grade threshold;
step S1020: determining whether the cardiology morbidity level of the first user is within the predetermined cardiology morbidity level threshold;
step S1030: if the cardiology morbidity level of the first user is within the predetermined cardiology morbidity level threshold, obtaining first image information, wherein the first image information comprises image information of the first user;
step S1040: determining whether the first user has subcutaneous edema according to the first image information;
step S1050: obtaining a first adjustment instruction if the first user develops subcutaneous edema;
step S1060: adjusting the first care regimen according to the first adjustment instruction.
Specifically, the predetermined cardiology disease level threshold is a set cardiology disease level threshold, when the first user's disease level threshold is below the threshold, no further processing is required to be performed on the first user, when the first user's disease level exceeds the threshold, other physical signs of the first user may cause a great risk, and when first image information is obtained, wherein the first image is an image including the first user, and whether fluid retention exists on the skin or under the skin of the first user is determined according to analysis of the first image on the skin of the first user. When the first user has fluid retention on the skin or under the skin, it indicates that the first user has subcutaneous edema, and the first treatment plan is adjusted according to the care-related notice of subcutaneous edema.
Further, the embodiment of the present application further includes:
step S750: inputting the disease grade and the first abnormality ratio into a care plan design model, wherein the care plan design model is obtained by training a plurality of sets of training data as input data, wherein each set of training data in the plurality of sets of training data as input data comprises the disease grade, the first abnormality ratio and identification information for identifying a first care plan;
step S760: obtaining output results of the care plan design model, the output results including the first care plan.
In particular, to obtain a more accurate first care plan, the output training results may be made more accurate by training the prevalence levels and the first abnormalities than input to the first training model. The first training model is a Neural network model, i.e., a Neural network model in machine learning, and a Neural Network (NN) is a complex Neural network system formed by widely interconnecting a large number of simple processing units (called neurons), reflects many basic features of human brain functions, and is a highly complex nonlinear dynamical learning system. Neural network models are described based on mathematical models of neurons. Artificial Neural Networks (Artificial Neural Networks) are a description of the first-order properties of the human brain system. Briefly, it is a mathematical model. In an embodiment of the present application, the disease grade and the first abnormality ratio are input to a first training model for training, and the neural network model is trained with identification information identifying a first care plan.
Further, the process of training the neural network model is substantially a process of supervised learning. The plurality of groups of training data are specifically: the grade of illness, the first abnormality ratio, and identification information for identifying a first care plan. The neural network model outputs a first training result through inputting the disease grade and the first abnormal ratio, the first training result is nursing scheme information, the output information is verified with the identification information playing the identification role, if the output information is consistent with the identification information, the data supervised learning is finished, and then the next group of data supervised learning is carried out; and if the output information is not consistent with the identification information, the neural network learning model adjusts itself until the output result of the neural network learning model is consistent with the identification information, and then the supervised learning of the next group of data is carried out. The neural network learning model is continuously corrected and optimized through training data, the accuracy of the neural network learning model for processing the input information is improved through the process of supervised learning, and the technical effect of obtaining a more accurate nursing scheme is achieved.
In summary, the nursing system and method for preventing potential complications of cardiology provided by the embodiments of the present application have the following technical effects:
1. the method comprises the steps of acquiring normal life index information and abnormal life index information of a first user to obtain a first abnormal ratio, extracting a set of the abnormal life index and the cardiology complication, meeting a preset correlation threshold, according to the correlation of the abnormal life index and the cardiology complication, determining the illness grade of the first user, acquiring a first care scheme based on the illness grade and the first abnormal ratio, nursing the first user based on the first care scheme, and further achieving the intelligent effect of analyzing and processing various indexes of the patient based on the body information of the patient to further achieve the technical effect of effectively preventing the cardiology patient from the complications.
2. By constructing database information corresponding to the complications and the illness grades, a foundation is laid for accurate matching and tamping of the complications in the follow-up process, and a more suitable nursing scheme can be obtained.
3. The neural network learning model is continuously corrected and optimized through training data, the accuracy of the neural network learning model for processing the input information is improved through the process of supervised learning, and the technical effect of obtaining a more accurate nursing scheme is achieved.
Example two
Based on the same inventive concept as the nursing method for preventing the potential complications in the cardiology department in the previous embodiment, the invention further provides a nursing system for preventing the potential complications in the cardiology department, as shown in fig. 2, the system comprises:
the first obtaining unit 11: the first obtaining unit 11 is configured to obtain normal life indicator information and abnormal life indicator information of a first user;
the second obtaining unit 12: the second obtaining unit 12 is configured to obtain a first abnormality ratio of the normal life indicator information and the abnormal life indicator information;
the third obtaining unit 13: the third obtaining unit 13 is configured to obtain a degree of association between the abnormal life indicator and a cardiology complication;
the fourth obtaining unit 14: the fourth obtaining unit 14 is configured to obtain a predetermined association threshold;
the first extraction unit 15: the first extraction unit 15 is configured to extract a first abnormal index set, of the abnormal life indexes, of which the correlation degree with the cardiology complications is within the predetermined correlation degree threshold, according to the predetermined correlation degree threshold;
the first determination unit 16: the first determining unit 16 is configured to determine a cardiology morbidity level of the first user according to the first abnormal index set;
the fifth obtaining unit 17: the fifth obtaining unit 17 is configured to obtain a first care plan according to the disease grade and the first abnormality ratio;
the first care unit 18: the first care unit 18 is adapted to care for the first user in accordance with the first care plan.
Further, the system further comprises:
a first building unit: the first construction unit is used for constructing a complication database in a grading manner according to the illness grade;
a second extraction unit: the second extraction unit is used for extracting first complication information from the complication database of the corresponding level according to the first abnormity ratio and the first abnormity index set;
a sixth obtaining unit: the sixth obtaining unit is configured to obtain feature information of the first complication according to the first complication information;
a seventh obtaining unit: the seventh obtaining unit is used for obtaining a first care plan according to the characteristic information of the first complication.
Further, the system further comprises:
an eighth obtaining unit: the eighth obtaining unit is used for obtaining a first diet control type and a first diet control quantity according to the cardiology disease grade of the first user;
a ninth obtaining unit: the ninth obtaining unit is used for obtaining a first diet care scheme according to the first diet control type and the control amount;
a second care unit: the second care unit is for dietary care to the first user in accordance with the first dietary care regimen.
Further, the system further comprises:
a tenth obtaining unit: the tenth obtaining unit is configured to obtain diet recommendation information for the first complication based on the first complication;
an eleventh obtaining unit: the eleventh obtaining unit is used for adjusting the first diet care scheme according to the diet advising information to obtain a second diet care scheme;
a third care unit: the third care unit is for dietary care to the first user in accordance with the second dietary care regimen.
Further, the system further comprises:
a twelfth obtaining unit: the twelfth obtaining unit is configured to obtain a throat health status of the first user;
a thirteenth obtaining unit: the thirteenth obtaining unit is configured to obtain a lung health status of the first user;
a fourteenth obtaining unit: the fourteenth obtaining unit is configured to obtain a first respiratory system influence factor according to the throat health status and the lung health status;
a fifteenth obtaining unit: the fifteenth obtaining unit is used for obtaining a first respiratory system nursing scheme according to the first respiratory system influence factor and the cardiology morbidity grade of the first user;
a fourth care unit: the fourth nursing unit is used for nursing the first user to the respiratory system according to the first respiratory system nursing scheme.
Further, the system further comprises:
a sixteenth obtaining unit: the sixteenth obtaining unit is used for obtaining a preset cardiology disease grade threshold;
a first judgment unit: the first judging unit is used for judging whether the cardiology disease level of the first user is within the preset cardiology disease level threshold value;
a seventeenth obtaining unit: the seventeenth obtaining unit is configured to obtain first image information if the cardiology morbidity level of the first user is within the predetermined cardiology morbidity level threshold, where the first image information includes image information of the first user;
a second judgment unit: the second judging unit is used for judging whether the first user generates subcutaneous edema according to the first image information;
an eighteenth obtaining unit: the eighteenth obtaining unit is configured to obtain a first adjustment instruction if the first user has subcutaneous edema;
a first adjusting unit: the first adjusting unit is used for adjusting the first nursing scheme according to the first adjusting instruction.
Further, the system further comprises:
a first input unit: the first input unit is used for inputting the disease grade and the first abnormality ratio into a care plan design model, wherein the care plan design model is obtained by training a plurality of groups of training data serving as input data, and each group of the training data in the plurality of groups of training data serving as input data comprises the disease grade, the first abnormality ratio and identification information for identifying a first care plan;
a nineteenth obtaining unit: the nineteenth obtaining unit is configured to obtain an output result of the care plan design model, the output result including the first care plan.
Various changes and specific examples of a nursing method for preventing potential complications of the cardiology department in the first embodiment of fig. 1 are also applicable to the nursing system for preventing potential complications of the cardiology department of the present embodiment, and the implementation method of the nursing system for preventing potential complications of the cardiology department in the present embodiment is clear to those skilled in the art from the foregoing detailed description of the nursing method for preventing potential complications of the cardiology department, and therefore, for the sake of brevity of the description, the detailed description is omitted here.
Exemplary electronic device
The electronic device of the embodiment of the present application is described below with reference to fig. 3.
Fig. 3 illustrates a schematic structural diagram of an electronic device according to an embodiment of the present application.
Based on the inventive concept of a care method for preventing potential complications of cardiology as in the previous embodiments, the present invention further provides a care system for preventing potential complications of cardiology, having stored thereon a computer program which, when executed by a processor, performs the steps of any one of the above-described care methods for preventing potential complications of cardiology.
Where in fig. 3 a bus architecture (represented by bus 300), bus 300 may include any number of interconnected buses and bridges, bus 300 linking together various circuits including one or more processors, represented by processor 302, and memory, represented by memory 304. The bus 300 may also link together various other circuits such as peripherals, voltage regulators, power management circuits, and the like, which are well known in the art, and therefore, will not be described any further herein. A bus interface 305 provides an interface between the bus 300 and the receiver 301 and transmitter 303. The receiver 301 and the transmitter 303 may be the same element, i.e., a transceiver, providing a means for communicating with various other systems over a transmission medium.
The processor 302 is responsible for managing the bus 300 and general processing, and the memory 304 may be used for storing data used by the processor 302 in performing operations.
The present application also provides a method of care for preventing potential complications of cardiology, the method comprising: acquiring normal life index information and abnormal life index information of a first user; obtaining a first anomaly ratio of the normal life index information and the abnormal life index information; obtaining the degree of association between the abnormal life index and the cardiology complications; obtaining a predetermined association threshold; extracting a first abnormal index set of the abnormal life indexes, wherein the correlation degree of the abnormal life indexes and the cardiology complications is within the preset correlation degree threshold value; determining the cardiology morbidity grade of the first user according to the first abnormal index set; obtaining a first care plan according to the disease grade and the first abnormality ratio; nursing the first user according to the first care plan.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create a system for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including an instruction system which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks. While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all such alterations and modifications as fall within the scope of the invention.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (8)
1. A care system for preventing potential complications of cardiology, the system comprising:
a first obtaining unit: the first obtaining unit is used for obtaining normal life index information and abnormal life index information of a first user;
a second obtaining unit: the second obtaining unit is used for obtaining a first abnormal ratio of the normal life index information and the abnormal life index information;
a third obtaining unit: the third obtaining unit is used for obtaining the correlation degree of the abnormal life index and the cardiology complication;
a fourth obtaining unit: the fourth obtaining unit is used for obtaining a preset relevance threshold value;
a first extraction unit: the first extraction unit is used for extracting a first abnormal index set of the abnormal life indexes, wherein the correlation degree of the abnormal life indexes and the cardiology complications is within the preset correlation degree threshold value;
a first determination unit: the first determining unit is used for determining the cardiology morbidity grade of the first user according to the first abnormal index set;
a fifth obtaining unit: the fifth obtaining unit is used for obtaining a first care plan according to the disease grade and the first abnormal ratio;
a first care unit: the first care unit is for caring for the first user in accordance with the first care plan.
2. The system of claim 1, wherein the fifth obtaining unit further comprises:
a first building unit: the first construction unit is used for constructing a complication database in a grading manner according to the illness grade;
a second extraction unit: the second extraction unit is used for extracting first complication information from the complication database of the corresponding level according to the first abnormity ratio and the first abnormity index set;
a sixth obtaining unit: the sixth obtaining unit is configured to obtain feature information of the first complication according to the first complication information;
a seventh obtaining unit: the seventh obtaining unit is used for obtaining a first care plan according to the characteristic information of the first complication.
3. The system of claim 2, wherein the system further comprises:
an eighth obtaining unit: the eighth obtaining unit is used for obtaining a first diet control type and a first diet control quantity according to the cardiology disease grade of the first user;
a ninth obtaining unit: the ninth obtaining unit is used for obtaining a first diet care scheme according to the first diet control type and the control amount;
a second care unit: the second care unit is for dietary care to the first user in accordance with the first dietary care regimen.
4. The system of claim 3, wherein the system further comprises:
a tenth obtaining unit: the tenth obtaining unit is configured to obtain diet recommendation information for the first complication based on the first complication;
an eleventh obtaining unit: the eleventh obtaining unit is used for adjusting the first diet care scheme according to the diet advising information to obtain a second diet care scheme;
a third care unit: the third care unit is for dietary care to the first user in accordance with the second dietary care regimen.
5. The system of claim 1, wherein the system further comprises:
a twelfth obtaining unit: the twelfth obtaining unit is configured to obtain a throat health status of the first user;
a thirteenth obtaining unit: the thirteenth obtaining unit is configured to obtain a lung health status of the first user;
a fourteenth obtaining unit: the fourteenth obtaining unit is configured to obtain a first respiratory system influence factor according to the throat health status and the lung health status;
a fifteenth obtaining unit: the fifteenth obtaining unit is used for obtaining a first respiratory system nursing scheme according to the first respiratory system influence factor and the cardiology morbidity grade of the first user;
a fourth care unit: the fourth nursing unit is used for nursing the first user to the respiratory system according to the first respiratory system nursing scheme.
6. The system of claim 1, wherein the system further comprises:
a sixteenth obtaining unit: the sixteenth obtaining unit is used for obtaining a preset cardiology disease grade threshold;
a first judgment unit: the first judging unit is used for judging whether the cardiology disease level of the first user is within the preset cardiology disease level threshold value;
a seventeenth obtaining unit: the seventeenth obtaining unit is configured to obtain first image information if the cardiology morbidity level of the first user is within the predetermined cardiology morbidity level threshold, where the first image information includes image information of the first user;
a second judgment unit: the second judging unit is used for judging whether the first user generates subcutaneous edema according to the first image information;
an eighteenth obtaining unit: the eighteenth obtaining unit is configured to obtain a first adjustment instruction if the first user has subcutaneous edema;
a first adjusting unit: the first adjusting unit is used for adjusting the first nursing scheme according to the first adjusting instruction.
7. The system of claim 1, wherein the fifth obtaining unit further comprises:
a first input unit: the first input unit is used for inputting the disease grade and the first abnormality ratio into a care plan design model, wherein the care plan design model is obtained by training a plurality of groups of training data serving as input data, and each group of the training data in the plurality of groups of training data serving as input data comprises the disease grade, the first abnormality ratio and identification information for identifying a first care plan;
a nineteenth obtaining unit: the nineteenth obtaining unit is configured to obtain an output result of the care plan design model, the output result including the first care plan.
8. A care system for preventing potential complications of cardiology, comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the steps of the system of any one of claims 1-7 when executing the program.
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