CN117558461B - Similar snake bite medical scheme selection method and device in different regions and electronic equipment - Google Patents
Similar snake bite medical scheme selection method and device in different regions and electronic equipment Download PDFInfo
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- 208000004078 Snake Bites Diseases 0.000 title claims abstract description 211
- 238000010187 selection method Methods 0.000 title description 4
- 238000011156 evaluation Methods 0.000 claims abstract description 63
- 230000006870 function Effects 0.000 claims abstract description 50
- 239000008155 medical solution Substances 0.000 claims abstract description 42
- 238000011282 treatment Methods 0.000 claims abstract description 27
- 238000007781 pre-processing Methods 0.000 claims abstract description 24
- 238000000034 method Methods 0.000 claims abstract description 20
- 238000012545 processing Methods 0.000 claims abstract description 15
- 238000007621 cluster analysis Methods 0.000 claims abstract description 10
- 239000013598 vector Substances 0.000 claims abstract description 10
- 238000004138 cluster model Methods 0.000 claims abstract description 9
- 208000005374 Poisoning Diseases 0.000 claims abstract description 6
- 231100000572 poisoning Toxicity 0.000 claims abstract description 6
- 230000000607 poisoning effect Effects 0.000 claims abstract description 6
- 238000011084 recovery Methods 0.000 claims description 52
- 210000002966 serum Anatomy 0.000 claims description 50
- 206010052428 Wound Diseases 0.000 claims description 36
- 208000027418 Wounds and injury Diseases 0.000 claims description 36
- 241000270295 Serpentes Species 0.000 claims description 14
- 238000003745 diagnosis Methods 0.000 claims description 14
- 238000010276 construction Methods 0.000 claims description 13
- 210000004369 blood Anatomy 0.000 claims description 5
- 239000008280 blood Substances 0.000 claims description 5
- 238000004422 calculation algorithm Methods 0.000 claims description 5
- 238000004140 cleaning Methods 0.000 claims description 5
- 208000024891 symptom Diseases 0.000 claims description 5
- 239000002260 anti-inflammatory agent Substances 0.000 claims description 4
- 230000001741 anti-phlogistic effect Effects 0.000 claims description 4
- 238000007689 inspection Methods 0.000 claims description 4
- 241000894007 species Species 0.000 claims description 4
- 238000000605 extraction Methods 0.000 claims description 3
- 238000011369 optimal treatment Methods 0.000 abstract description 7
- 238000004590 computer program Methods 0.000 description 3
- 238000010586 diagram Methods 0.000 description 3
- 230000003287 optical effect Effects 0.000 description 3
- 231100000611 venom Toxicity 0.000 description 3
- 230000002303 anti-venom Effects 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000002093 peripheral effect Effects 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 239000000243 solution Substances 0.000 description 2
- 230000003068 static effect Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 230000001988 toxicity Effects 0.000 description 1
- 231100000419 toxicity Toxicity 0.000 description 1
- 231100000765 toxin Toxicity 0.000 description 1
- 239000003053 toxin Substances 0.000 description 1
- 238000012546 transfer Methods 0.000 description 1
- 238000011269 treatment regimen Methods 0.000 description 1
- 239000002699 waste material Substances 0.000 description 1
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- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H70/00—ICT specially adapted for the handling or processing of medical references
- G16H70/20—ICT specially adapted for the handling or processing of medical references relating to practices or guidelines
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/70—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
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Abstract
The invention belongs to the technical field of snake bite data processing, and relates to a method and a device for selecting similar snake bite medical schemes in different regions and electronic equipment, wherein the method comprises the following steps: constructing an original data set; preprocessing data; extracting characteristic attributes, constructing characteristic vectors for cluster analysis, and performing unsupervised learning to obtain a snake-bite medical scheme cluster model; constructing an evaluation function of a snake bite medical scheme; calculating snake-bite medical solution evaluation indexes of each snake-bite medical solution by using a snake-bite medical solution evaluation function after target clustering is obtained; and comparing the snake-bite medical solution evaluation indexes of the snake-bite medical solutions, and determining the snake-bite medical solution with the smallest snake-bite medical solution evaluation function value as the target snake-bite medical solution. The invention not only fuses the optimal treatment schemes of the same snake bite type in different regions, but also can select the optimal treatment scheme suitable for the actual condition of the patient according to the actual condition of the patient, thereby realizing the accurate treatment scheme recommendation of the snake bite poisoning patient.
Description
Technical Field
The invention belongs to the technical field of snake bite data processing, and particularly relates to a method and a device for selecting similar snake bite medical schemes in different regions and electronic equipment.
Background
The same class of venomous snakes are distributed in different regions, and the same class of venomous snakes still show different toxicity levels and toxin components although the same class of venomous snakes have similar generic characteristics. If diagnosis and treatment are performed completely according to the unified diagnosis and treatment specifications, the problems of excessive treatment and insufficient treatment can possibly occur. Excessive treatment causes resource waste, and insufficient treatment causes increased probability of disability. Therefore, under the guidance of the existing diagnosis and treatment standard, the successful experience of different regions on the treatment of the same kind of snake wounds is used as a reference, and the treatment scheme is selected according to the actual situation of the snake wound patients aiming at different regions, so that the accurate treatment of the snake wound poisoning patients is realized.
Disclosure of Invention
In order to solve the technical problems, the invention provides a method and a device for selecting similar snake bite medical schemes in different regions and electronic equipment.
In a first aspect, the present invention provides a method for selecting a medical plan for a snake bite of the same type in different areas, comprising:
acquiring historical similar snake bite patient data of different hospitals in each regional range;
constructing an original data set, wherein the original data set comprises a snake-wound patient basic information data set, a snake-wound data set, a patient biochemical examination and inspection data set during first diagnosis of snake-wound, a snake-wound medical scheme data set and a rehabilitation state data set during discharge of the patient;
preprocessing an original data set;
extracting characteristic attributes of each region, the same snake bite type and a plurality of corresponding different medical schemes in an original data set, constructing characteristic vectors for cluster analysis, and performing unsupervised learning to obtain a snake bite medical scheme cluster model containing clusters of each region, the same snake bite type and a plurality of corresponding different medical schemes;
constructing a snake bite medical protocol evaluation function, comprising: extracting the serum use count and serum unit price from the snake bite medical scheme data set, and calculating a serum cost index; obtaining patient recovery state data from a recovery state data set when a patient is discharged from a hospital, and grading the patient recovery state data according to a number to obtain patient recovery indexes; determining parameters of the snake-bite medical scheme evaluation function according to the serum cost index and the patient rehabilitation index to obtain the snake-bite medical scheme evaluation function;
acquiring an original data set of a current patient, and preprocessing the original data set;
inputting the preprocessed original data set of the current patient into a snake-bite medical scheme clustering model to obtain a target cluster; the target cluster comprises a plurality of snake bite medical schemes;
calculating snake-bite medical-treatment-scheme evaluation indexes of each snake-bite medical scheme by using a snake-bite medical-scheme evaluation function;
and comparing the snake-bite medical solution evaluation indexes of the snake-bite medical solutions, and determining the snake-bite medical solution with the smallest snake-bite medical solution evaluation function value as the target snake-bite medical solution.
The invention provides a similar snake bite medical scheme selecting device in different regions, which comprises a first acquisition unit, a data set constructing unit, a data preprocessing unit, a first constructing unit, a second acquisition unit, a first processing unit, a second processing unit and a comparison unit;
the first acquisition unit is used for acquiring historical similar snake wound patient data of different hospitals in various regional ranges;
the data set construction unit is used for constructing an original data set, including a snake-bite patient basic information data set, a snake-bite data set, a patient biochemical examination data set during first diagnosis of snake-bite, a snake-bite medical scheme data set and a recovery state data set during discharge of the patient;
the data preprocessing unit is used for preprocessing an original data set;
the extraction unit is used for extracting the characteristic attributes of each region, the same snake bite type and a plurality of corresponding different medical schemes in the original data set;
the first construction unit is used for constructing feature vectors for cluster analysis and performing unsupervised learning to obtain a snake-bite medical scheme cluster model containing clusters of different regions, the same snake-bite type and a plurality of corresponding different medical schemes;
a second construction unit for constructing a snake bite medical solution evaluation function, comprising: extracting the serum use count and serum unit price from the snake bite medical scheme data set, and calculating a serum cost index; obtaining patient recovery state data from a recovery state data set when a patient is discharged from a hospital, and grading the patient recovery state data according to a number to obtain patient recovery indexes; determining parameters of the snake-bite medical scheme evaluation function according to the serum cost index and the patient rehabilitation index to obtain the snake-bite medical scheme evaluation function;
the second acquisition unit is used for acquiring an original data set of the current patient and preprocessing the original data set;
the first processing unit is used for inputting the preprocessed original data set of the current patient into the snake-bite medical scheme clustering model to obtain a target cluster; the target cluster comprises a plurality of snake bite medical schemes;
a second processing unit for calculating snake-bite medical-regimen evaluation indexes of the respective snake-bite medical regimens using the snake-bite medical-regimen evaluation function;
and a comparison unit for comparing the snake-bite medical-regimen evaluation indexes of the respective snake-bite medical-regimens, and determining the snake-bite medical-regimen with the smallest snake-bite medical-regimen evaluation function value as the target snake-bite medical regimen.
In a third aspect, the present invention provides an electronic device comprising:
a processor and a memory;
the memory is used for storing computer operation instructions;
the processor is used for executing the similar snake-wound medical scheme selection methods in different regions by calling the computer operation instruction.
On the basis of the technical scheme, the invention can be improved as follows.
Further, the snake bite patient basic information data set comprises the sex and the age of the snake bite patient; the snake bite data set comprises snake bite type and wound characteristic data; the biochemical examination and examination data set of the patient at the first diagnosis of snake bite comprises blood routine data; the snake bite medical protocol data set includes antiphlogistic serum species and doses; the patient discharge recovery state data set includes several types of snake bite symptom data.
Further, preprocessing the original data set, including cleaning and merging the data to obtain a standard data set for constructing a snake bite medical proposal clustering model.
Further, building a feature vector for cluster analysis and performing unsupervised learning to obtain a snake bite medical solution cluster model containing clusters of each region, the same snake bite type and a plurality of different medical solutions, comprising:
s1, randomly selecting a plurality of sample points in a data set to serve as initialized clustering centers;
s2, calculating the distance between each sample point and the initialized clustering center, and selecting the closest clustering center for each sample point to perform clustering until a set number of clustering centers are obtained;
and S3, calculating a final clustering center by utilizing the preprocessed original data set and utilizing a K-Means algorithm until the moving range of the clustering center is smaller than a set value or the clustering times reach the set times, so as to obtain the snake-wound medical scheme clustering model comprising a plurality of clustering categories.
Further, according to the serum cost index and the patient rehabilitation index, determining parameters of the snake bite medical treatment scheme evaluation function to obtain the snake bite medical treatment scheme evaluation function, including: the snake bite medical treatment scheme evaluation function is the ratio of the serum cost index to the patient rehabilitation index.
Further, grading the patient rehabilitation state data according to the quantitative classification to obtain patient rehabilitation indexes, including: the rehabilitation state data of the patient are quantitatively classified into a first-stage rehabilitation state, a second-stage rehabilitation state, a third-stage rehabilitation state, a fourth-stage rehabilitation state and a fifth-stage rehabilitation state; the first grade recovery state corresponds to a first scoring value; the second grade rehabilitation state corresponds to a second scoring value; the third grade recovery state corresponds to a third scoring value; the fourth grade rehabilitation state corresponds to a fourth grading value; the fifth grade rehabilitation status corresponds to a fifth grading value; the first scoring value is greater than the second scoring value, and the second scoring value is greater than the third scoring value, which is greater than the fourth scoring value, which is greater than the fifth scoring value; and the patient rehabilitation state data is used as a patient rehabilitation index result according to the score values corresponding to the quantitative grading.
The beneficial effects of the invention are as follows: the invention not only fuses the optimal treatment schemes of the same snake bite type in different regions, but also can select the optimal treatment scheme suitable for the actual condition of the patient according to the actual condition of the patient, thereby realizing the accurate treatment scheme recommendation of the snake bite poisoning patient.
Drawings
FIG. 1 is a schematic diagram of a method for selecting a similar snake bite medical treatment plan in different regions according to embodiment 1 of the invention;
FIG. 2 is a block flow chart of the method for selecting the same kind of snake bite medical solutions in different regions provided in embodiment 1 of the invention;
FIG. 3 is a schematic diagram of a device for selecting a medical plan for treating snake wounds of the same kind in different areas according to embodiment 2 of the invention;
fig. 4 is a schematic diagram of an electronic device according to embodiment 3 of the present invention.
Icon: 40-an electronic device; 410-a processor; 420-bus; 430-memory; 440-transceiver.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention. The components of the embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.
As shown in fig. 1, the present embodiment provides a method for selecting a medical solution for a snake bite of the same kind in different regions, including:
acquiring historical similar snake bite patient data of different hospitals in each regional range;
constructing an original data set, wherein the original data set comprises a snake-wound patient basic information data set, a snake-wound data set, a patient biochemical examination and inspection data set during first diagnosis of snake-wound, a snake-wound medical scheme data set and a rehabilitation state data set during discharge of the patient;
preprocessing an original data set;
extracting characteristic attributes of each region, the same snake bite type and a plurality of corresponding different medical schemes in an original data set, constructing characteristic vectors for cluster analysis, and performing unsupervised learning to obtain a snake bite medical scheme cluster model containing clusters of each region, the same snake bite type and a plurality of corresponding different medical schemes;
constructing a snake bite medical protocol evaluation function, comprising: extracting the serum use count and serum unit price from the snake bite medical scheme data set, and calculating a serum cost index; obtaining patient recovery state data from a recovery state data set when a patient is discharged from a hospital, and grading the patient recovery state data according to a number to obtain patient recovery indexes; determining parameters of the snake-bite medical scheme evaluation function according to the serum cost index and the patient rehabilitation index to obtain the snake-bite medical scheme evaluation function;
acquiring an original data set of a current patient, and preprocessing the original data set;
inputting the preprocessed original data set of the current patient into a snake-bite medical scheme clustering model to obtain a target cluster; the target cluster comprises a plurality of snake bite medical schemes;
calculating snake-bite medical-treatment-scheme evaluation indexes of each snake-bite medical scheme by using a snake-bite medical-scheme evaluation function;
and comparing the snake-bite medical solution evaluation indexes of the snake-bite medical solutions, and determining the snake-bite medical solution with the smallest snake-bite medical solution evaluation function value as the target snake-bite medical solution.
Fig. 2 is a flow chart of a method for selecting the same kind of snake bite medical treatment scheme in different regions.
Specifically, constructing the original dataset includes: setting the basic information data set of the snake bite patient as D1, such as gender, age and the like; the snake bite data set is set as D2, such as snake bite type, wound condition and the like; the biochemical examination and inspection data set of the patient at the first diagnosis of snake bite is set as D3, such as blood routine data and the like; the snake bite medical protocol data set is set as D4, such as antivenom serum type and dosage; the recovery status data set at the time of discharge of the patient is set to D5, such as several types of snake bite symptom data.
Optionally, preprocessing the original data set, including cleaning and merging the data to obtain a standard data set for constructing a snake bite medical solution clustering model.
And (3) carrying out data cleaning and merging on the original data sets to obtain data sets (D1, D2, D3, D4 and D5) for constructing a first-stage snake bite medical scheme selection model.
Optionally, building a feature vector to perform cluster analysis and performing unsupervised learning to obtain a snake bite medical solution cluster model including clusters of each region, the same snake bite type and a plurality of different medical solutions, including:
s1, randomly selecting a plurality of sample points in a data set to serve as initialized clustering centers;
s2, calculating the distance between each sample point and the initialized clustering center, and selecting the closest clustering center for each sample point to perform clustering until a set number of clustering centers are obtained;
and S3, calculating a final clustering center by utilizing the preprocessed original data set and utilizing a K-Means algorithm until the moving range of the clustering center is smaller than a set value or the clustering times reach the set times, so as to obtain the snake-wound medical scheme clustering model comprising a plurality of clustering categories.
Optionally, determining parameters of the snake-bite medical solution evaluation function according to the serum cost index and the patient rehabilitation index to obtain the snake-bite medical solution evaluation function, including: the snake bite medical treatment scheme evaluation function is the ratio of the serum cost index to the patient rehabilitation index.
In the medical treatment of snake wounds, the antivenin serum is a relatively high-cost part, so that a serum cost index is constructed, wherein the index refers to the serum cost spent in the treatment process of a snake wound patient, the serum cost is C, the serum use count is A, the serum unit price is P, and the serum cost C=A×P. Parameters serum use count a and serum unit price P were obtained from snake bite medical protocol dataset D4.
Optionally, grading the patient rehabilitation status data according to a number to obtain a patient rehabilitation index, including: the rehabilitation state data of the patient are quantitatively classified into a first-stage rehabilitation state, a second-stage rehabilitation state, a third-stage rehabilitation state, a fourth-stage rehabilitation state and a fifth-stage rehabilitation state; the first grade recovery state corresponds to a first scoring value; the second grade rehabilitation state corresponds to a second scoring value; the third grade recovery state corresponds to a third scoring value; the fourth grade rehabilitation state corresponds to a fourth grading value; the fifth grade rehabilitation status corresponds to a fifth grading value; the first scoring value is greater than the second scoring value, and the second scoring value is greater than the third scoring value, which is greater than the fourth scoring value, which is greater than the fifth scoring value; and the patient rehabilitation state data is used as a patient rehabilitation index result according to the score values corresponding to the quantitative grading.
Patient recovery status data is obtained from the recovery status data set D5 at patient discharge, and the descriptive recovery status H is quantitatively divided into five stages, and optionally, the specific stages and the corresponding scores are: the recovery state is very good at 5 minutes, the recovery state is generally 4 minutes, the recovery state difference is 3 minutes, the recovery state is poor at 2 minutes, and the recovery state is very poor at 1 minute. Let the recovery state level be H. For example, if the recovery state of a snake wound patient is "poor recovery", the score corresponding to the recovery state is h=3.
And constructing a snake bite treatment scheme evaluation function F, and combining the serum cost C and the rehabilitation state H, wherein the snake bite treatment scheme evaluation function F is a proportional function of the serum cost C and the rehabilitation state H, namely F=C/H. The evaluation function means: the smaller the F value, the better the treatment regimen. If the same recovery state H is adopted, the lower the serum cost C is, the smaller the F value is; if the serum cost C is the same, the greater the recovery state H value, the smaller F.
In the practical application process, when a certain snake wound patient is checked by a doctor in a hospital, an original data set is obtained, and then data is treated by a data preprocessing method to obtain a new data set (D1, D2 and D3);
the new data sets (D1, D2 and D3) are put into a snake bite medical proposal clustering model for prediction, and the patients are classified into an ith clustering group by prediction;
calculating the value F of the evaluation function of each medical scheme in the ith clustering group by using the snake-bite medical scheme evaluation function, and selecting the medical scheme corresponding to the minimum F value of the ith clustering group, namely the optimal treatment scheme suitable for the snake-bite patient as the recommended medical scheme.
The invention not only fuses the optimal treatment schemes of the same snake bite type in different regions, but also can select the optimal treatment scheme suitable for the actual condition of the patient according to the actual condition of the patient, thereby realizing the accurate treatment scheme recommendation of the snake bite poisoning patient.
Example 2
Based on the same principle as the method shown in the embodiment 1 of the present invention, as shown in fig. 3, the embodiment of the present invention further provides a device for selecting a similar snake-bite medical solution in different regions, which includes a first acquisition unit, a data set construction unit, a data preprocessing unit, a first construction unit, a second acquisition unit, a first processing unit, a second processing unit and a comparison unit;
the first acquisition unit is used for acquiring historical similar snake wound patient data of different hospitals in various regional ranges;
the data set construction unit is used for constructing an original data set, including a snake-bite patient basic information data set, a snake-bite data set, a patient biochemical examination data set during first diagnosis of snake-bite, a snake-bite medical scheme data set and a recovery state data set during discharge of the patient;
the data preprocessing unit is used for preprocessing an original data set;
the extraction unit is used for extracting the characteristic attributes of each region, the same snake bite type and a plurality of corresponding different medical schemes in the original data set;
the first construction unit is used for constructing feature vectors for cluster analysis and performing unsupervised learning to obtain a snake-bite medical scheme cluster model containing clusters of different regions, the same snake-bite type and a plurality of corresponding different medical schemes;
a second construction unit for constructing a snake bite medical solution evaluation function, comprising: extracting the serum use count and serum unit price from the snake bite medical scheme data set, and calculating a serum cost index; obtaining patient recovery state data from a recovery state data set when a patient is discharged from a hospital, and grading the patient recovery state data according to a number to obtain patient recovery indexes; determining parameters of the snake-bite medical scheme evaluation function according to the serum cost index and the patient rehabilitation index to obtain the snake-bite medical scheme evaluation function;
the second acquisition unit is used for acquiring an original data set of the current patient and preprocessing the original data set;
the first processing unit is used for inputting the preprocessed original data set of the current patient into the snake-bite medical scheme clustering model to obtain a target cluster; the target cluster comprises a plurality of snake bite medical schemes;
a second processing unit for calculating snake-bite medical-regimen evaluation indexes of the respective snake-bite medical regimens using the snake-bite medical-regimen evaluation function;
and a comparison unit for comparing the snake-bite medical-regimen evaluation indexes of the respective snake-bite medical-regimens, and determining the snake-bite medical-regimen with the smallest snake-bite medical-regimen evaluation function value as the target snake-bite medical regimen.
Optionally, the snake bite patient basic information data set comprises sex and age of the snake bite patient; the snake bite data set comprises snake bite type and wound characteristic data; the biochemical examination and examination data set of the patient at the first diagnosis of snake bite comprises blood routine data; the snake bite medical protocol data set includes antiphlogistic serum species and doses; the patient discharge recovery state data set includes several types of snake bite symptom data.
Optionally, preprocessing the original data set, including cleaning and merging the data to obtain a standard data set for constructing a snake bite medical solution clustering model.
Optionally, the feature vector is built for cluster analysis and unsupervised learning, including:
s1, randomly selecting a plurality of sample points in a data set to serve as initialized clustering centers;
s2, calculating the distance between each sample point and the initialized clustering center, and selecting the closest clustering center for each sample point to perform clustering until a set number of clustering centers are obtained;
and S3, calculating a final clustering center by utilizing the preprocessed original data set and utilizing a K-Means algorithm until the moving range of the clustering center is smaller than a set value or the clustering times reach the set times, so as to obtain the snake-wound medical scheme clustering model comprising a plurality of clustering categories.
Optionally, determining parameters of the snake-bite medical solution evaluation function according to the serum cost index and the patient rehabilitation index to obtain the snake-bite medical solution evaluation function, including: the snake bite medical treatment scheme evaluation function is the ratio of the serum cost index to the patient rehabilitation index.
Optionally, grading the patient rehabilitation status data according to a number to obtain a patient rehabilitation index, including: the rehabilitation state data of the patient are quantitatively classified into a first-stage rehabilitation state, a second-stage rehabilitation state, a third-stage rehabilitation state, a fourth-stage rehabilitation state and a fifth-stage rehabilitation state; the first grade recovery state corresponds to a first scoring value; the second grade rehabilitation state corresponds to a second scoring value; the third grade recovery state corresponds to a third scoring value; the fourth grade rehabilitation state corresponds to a fourth grading value; the fifth grade rehabilitation status corresponds to a fifth grading value; the first scoring value is greater than the second scoring value, and the second scoring value is greater than the third scoring value, which is greater than the fourth scoring value, which is greater than the fifth scoring value; and the patient rehabilitation state data is used as a patient rehabilitation index result according to the score values corresponding to the quantitative grading.
Example 3
Based on the same principle as the method shown in the embodiment of the present invention, there is also provided an electronic device in the embodiment of the present invention, as shown in fig. 4, which may include, but is not limited to: a processor and a memory; a memory for storing a computer program; and the processor is used for executing the similar snake-wound medical scheme selection method in different regions by calling the computer program.
In an alternative embodiment, an electronic device is provided, the electronic device 40 shown in fig. 4 comprising: a processor 410 and a memory 430. Processor 410 is coupled to memory 430, such as via bus 420.
Optionally, the electronic device 40 may further comprise a transceiver 440, and the transceiver 440 may be used for data interaction between the electronic device and other electronic devices, such as transmission of data and/or reception of data, etc. It should be noted that, in practical applications, the transceiver 440 is not limited to one, and the structure of the electronic device 40 is not limited to the embodiment of the present invention.
The processor 410 may be a CPU (Central Processing Unit ), general purpose processor, DSP (Digital Signal Processor, data signal processor), ASIC (Application Specific Integrated Circuit ), FPGA (Field Programmable Gate Array, field programmable gate array) or other programmable logic device, transistor logic device, hardware components, or any combination thereof. Which may implement or perform the various exemplary logic blocks, modules and circuits described in connection with this disclosure. Processor 410 may also be a combination that implements computing functionality, e.g., comprising one or more microprocessor combinations, a combination of a DSP and a microprocessor, etc.
Bus 420 may include a path to transfer information between the aforementioned components. Bus 420 may be a PCI (Peripheral Component Interconnect, peripheral component interconnect standard) bus, or an EISA (Extended Industry Standard Architecture ) bus, among others. Bus 420 may be divided into an address bus, a data bus, a control bus, and the like. For ease of illustration, only one thick line is shown in fig. 4, but not only one bus or one type of bus.
Memory 430 may be, but is not limited to, ROM (Read Only Memory) or other type of static storage device that can store static information and instructions, RAM (Random Access Memory ) or other type of dynamic storage device that can store information and instructions, EEPROM (Electrically Erasable Programmable Read Only Memory ), CD-ROM (Compact Disc Read Only Memory, compact disc Read Only Memory) or other optical disk storage, optical disk storage (including compact discs, laser discs, optical discs, digital versatile discs, blu-ray discs, etc.), magnetic disk storage media or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer.
The memory 430 is used to store application program codes (computer programs) for executing the inventive arrangements and is controlled to be executed by the processor 410. The processor 410 is configured to execute application code stored in the memory 430 to implement what is shown in the foregoing method embodiments.
The above is only a preferred embodiment of the present invention, and is not intended to limit the present invention, but various modifications and variations can be made to the present invention by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (5)
1. The method for selecting the medical scheme of the same kind of snake bite in different regions is characterized by comprising the following steps:
acquiring historical similar snake bite patient data of different hospitals in each regional range;
constructing an original data set, wherein the original data set comprises a snake-wound patient basic information data set, a snake-wound data set, a patient biochemical examination and inspection data set during first diagnosis of snake-wound, a snake-wound medical scheme data set and a rehabilitation state data set during discharge of the patient; the snake bite patient basic information data set comprises the sex and the age of the snake bite patient; the snake bite data set comprises snake bite type and wound characteristic data; the biochemical examination and examination data set of the patient at the first diagnosis of snake bite comprises blood routine data; the snake bite medical protocol data set includes antiphlogistic serum species and doses; the rehabilitation state data set of the patient at the time of discharge comprises a plurality of types of snake bite poisoning symptom data;
preprocessing an original data set;
extracting characteristic attributes of each region, the same snake bite type and a plurality of different corresponding medical schemes in an original data set, constructing characteristic vectors for cluster analysis, and performing unsupervised learning to obtain a snake bite medical scheme cluster model containing clusters of each region, the same snake bite type and the plurality of different corresponding medical schemes, wherein the method comprises the following steps: s1, randomly selecting a plurality of sample points in a data set to serve as initialized clustering centers; s2, calculating the distance between each sample point and the initialized clustering center, and selecting the closest clustering center for each sample point to perform clustering until a set number of clustering centers are obtained; s3, calculating a final clustering center by utilizing the preprocessed original data set and utilizing a K-Means algorithm until the moving range of the clustering center is smaller than a set value or the clustering times reach the set times, so as to obtain a snake-wound medical scheme clustering model comprising a plurality of clustering categories;
constructing a snake bite medical protocol evaluation function, comprising: extracting the serum use count and serum unit price from the snake bite medical scheme data set, and calculating a serum cost index; obtaining patient recovery state data from a recovery state data set when a patient is discharged from a hospital, and grading the patient recovery state data according to a number to obtain patient recovery indexes; determining parameters of the snake-bite medical scheme evaluation function according to the serum cost index and the patient rehabilitation index to obtain the snake-bite medical scheme evaluation function; the snake bite medical treatment scheme evaluation function is the ratio of the serum cost index to the patient rehabilitation index;
acquiring an original data set of a current patient, and preprocessing the original data set;
inputting the preprocessed original data set of the current patient into a snake-bite medical scheme clustering model to obtain a target cluster; the target cluster comprises a plurality of snake bite medical schemes;
calculating snake-bite medical-treatment-scheme evaluation indexes of each snake-bite medical scheme by using a snake-bite medical-scheme evaluation function;
and comparing the snake-bite medical solution evaluation indexes of the snake-bite medical solutions, and determining the snake-bite medical solution with the smallest snake-bite medical solution evaluation function value as the target snake-bite medical solution.
2. The method for selecting a similar snake bite medical plan in different areas according to claim 1, wherein the preprocessing of the original data set includes cleaning and merging the data to obtain a standard data set for constructing a snake bite medical plan clustering model.
3. The method for selecting a medical plan for a snake bite of the same kind in different areas according to claim 1, wherein the step of quantitatively classifying the patient rehabilitation status data to obtain the patient rehabilitation index comprises the steps of: the rehabilitation state data of the patient are quantitatively classified into a first-stage rehabilitation state, a second-stage rehabilitation state, a third-stage rehabilitation state, a fourth-stage rehabilitation state and a fifth-stage rehabilitation state; the first grade recovery state corresponds to a first scoring value; the second grade rehabilitation state corresponds to a second scoring value; the third grade recovery state corresponds to a third scoring value; the fourth grade rehabilitation state corresponds to a fourth grading value; the fifth grade rehabilitation status corresponds to a fifth grading value; the first scoring value is greater than the second scoring value, and the second scoring value is greater than the third scoring value, which is greater than the fourth scoring value, which is greater than the fifth scoring value; and the patient rehabilitation state data is used as a patient rehabilitation index result according to the score values corresponding to the quantitative grading.
4. The device for selecting the similar snake-wound medical treatment schemes in different regions is characterized by comprising a first acquisition unit, a data set construction unit, a data preprocessing unit, a first construction unit, a second acquisition unit, a first processing unit, a second processing unit and a comparison unit;
the first acquisition unit is used for acquiring historical similar snake wound patient data of different hospitals in various regional ranges;
the data set construction unit is used for constructing an original data set, including a snake-bite patient basic information data set, a snake-bite data set, a patient biochemical examination data set during first diagnosis of snake-bite, a snake-bite medical scheme data set and a recovery state data set during discharge of the patient; the snake bite patient basic information data set comprises the sex and the age of the snake bite patient; the snake bite data set comprises snake bite type and wound characteristic data; the biochemical examination and examination data set of the patient at the first diagnosis of snake bite comprises blood routine data; the snake bite medical protocol data set includes antiphlogistic serum species and doses; the rehabilitation state data set of the patient at the time of discharge comprises a plurality of types of snake bite poisoning symptom data;
the data preprocessing unit is used for preprocessing an original data set;
the extraction unit is used for extracting the characteristic attributes of each region, the same snake bite type and a plurality of corresponding different medical schemes in the original data set;
the first construction unit is used for constructing feature vectors for cluster analysis and unsupervised learning to obtain a snake bite medical solution cluster model containing clusters of different regions, the same snake bite type and a plurality of different medical solutions, and comprises the following steps: s1, randomly selecting a plurality of sample points in a data set to serve as initialized clustering centers; s2, calculating the distance between each sample point and the initialized clustering center, and selecting the closest clustering center for each sample point to perform clustering until a set number of clustering centers are obtained; s3, calculating a final clustering center by utilizing the preprocessed original data set and utilizing a K-Means algorithm until the moving range of the clustering center is smaller than a set value or the clustering times reach the set times, so as to obtain a snake-wound medical scheme clustering model comprising a plurality of clustering categories;
a second construction unit for constructing a snake bite medical solution evaluation function, comprising: extracting the serum use count and serum unit price from the snake bite medical scheme data set, and calculating a serum cost index; obtaining patient recovery state data from a recovery state data set when a patient is discharged from a hospital, and grading the patient recovery state data according to a number to obtain patient recovery indexes; determining parameters of the snake-bite medical scheme evaluation function according to the serum cost index and the patient rehabilitation index to obtain the snake-bite medical scheme evaluation function; the snake bite medical treatment scheme evaluation function is the ratio of the serum cost index to the patient rehabilitation index;
the second acquisition unit is used for acquiring an original data set of the current patient and preprocessing the original data set;
the first processing unit is used for inputting the preprocessed original data set of the current patient into the snake-bite medical scheme clustering model to obtain a target cluster; the target cluster comprises a plurality of snake bite medical schemes;
a second processing unit for calculating snake-bite medical-regimen evaluation indexes of the respective snake-bite medical regimens using the snake-bite medical-regimen evaluation function;
and a comparison unit for comparing the snake-bite medical-regimen evaluation indexes of the respective snake-bite medical-regimens, and determining the snake-bite medical-regimen with the smallest snake-bite medical-regimen evaluation function value as the target snake-bite medical regimen.
5. An electronic device, comprising:
a processor and a memory;
the memory is used for storing computer operation instructions;
the processor is configured to execute the method for selecting a snake-bite medical solution of the same kind in different areas according to any one of claims 1 to 3 by calling the computer operation instruction.
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