CN108269607A - Tumor patient nutrition Screening method and system - Google Patents
Tumor patient nutrition Screening method and system Download PDFInfo
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- CN108269607A CN108269607A CN201611248920.0A CN201611248920A CN108269607A CN 108269607 A CN108269607 A CN 108269607A CN 201611248920 A CN201611248920 A CN 201611248920A CN 108269607 A CN108269607 A CN 108269607A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/33—Querying
- G06F16/3331—Query processing
- G06F16/334—Query execution
Abstract
The application proposes a kind of tumor patient nutrition Screening method and system, wherein, this method includes the following steps：The electronic health record data for treating screening are obtained, the electronic health record data include the mark of user；According to preset extracting rule, from the electronic health record extracting data critical field set；According to the quantity and/or type of critical field that the critical field set includes, the nutritional status belonging to the user is determined.Hereby it is achieved that carrying out screening by critical field in the electronic medical records data to user, the nutritional status belonging to quick determining user has saved the cost of diagnosing tumour patient's nutrition problem, has saved the time, improved the accuracy rate and efficiency of diagnosis.
Description
Technical field
This application involves medical diagnosis field more particularly to a kind of tumor patient nutrition Screening method and system.
Background technology
The study found that substantial portion of tumor patient will appear nutrition problem, and nutrition problem can aggravate tumour trouble
The state of an illness of person influences the therapeutic effect of patient.In recent years, increasing with tumor patient, how the nutrition of diagnosing tumour patient
Problem becomes people and is increasingly concerned about and urgent problem to be solved.
At present, the nutrition problem of tumor patient, usually by having the clinical nutrition Shi Jinhang of professional skill diagnosis.However,
It due to clinical nutrition's teacher personnel amount wretched insufficiency, and is required for spending many times during each patient of diagnosis, tumour is caused to be suffered from
The nutrition problem of person cannot be diagnosed in time.
Above-mentioned tumor patient nutrition problem diagnostic method, not only wastes a large amount of cost and time, and working efficiency is low, goes back shadow
The rehabilitation of tumor patient is rung.
Invention content
The application is intended to solve at least some of the technical problems in related technologies.
For this purpose, first purpose of the application is to propose a kind of tumor patient nutrition Screening method, realize by with
Critical field carries out screening in the electronic medical records data at family, and the nutritional status belonging to quick determining user has saved diagnosing tumour
The cost of patient's nutrition problem, saves the time, improves the accuracy rate and efficiency of diagnosis.
Second purpose of the application is to propose a kind of tumor patient nutrition Screening system.
In order to achieve the above object, the embodiment of the present application first aspect proposes a kind of tumor patient nutrition Screening method, including：
The electronic health record data for treating screening are obtained, the electronic health record data include the mark of user；According to preset extracting rule,
From the electronic health record extracting data critical field set；The number of critical field included according to the critical field set
Amount and/or type, determine the nutritional status belonging to the user.
It is described according to preset extracting rule in a kind of possible way of realization of first aspect, from electronics disease
Extracting data critical field set is gone through, including：
According to preset key message, include the word of the key message from the electronic health record extracting data of the user
Duan Jihe, wherein, at least one of the key message and following information are related：Symptom, sign, hematology variable and biochemistry
Index.
In the alternatively possible way of realization of first aspect, the nutritional status includes：There are risk and nutrition not
It is good；
The quantity and/or type of critical field included according to the critical field set, determines the user
Affiliated nutritional status, including：
Judge at least one of critical field set critical field whether with the field in the first set of fields
Match；
If so, determine that the nutritional status belonging to the user is malnutrition；
Otherwise, judge at least one of critical field set critical field whether with the word in the second set of fields
Section matching；
If so, determine that the nutritional status belonging to the user is that there are risks；
Wherein, the first set of fields is the corresponding feature set of malnutrition, and the second set of fields is there are risk shapes
The corresponding feature set of state.
In the alternatively possible way of realization of first aspect, at least one in the judgement critical field set
Whether a critical field is with after the fields match in the first set of fields, further including：
If not, it is determined that the corresponding score value of each critical field and weighted value in the critical field set；
According to the corresponding score value of each critical field and weighted value, determining the score of the critical field set is
It is no to be more than preset value；
If so, determine that the nutritional status belonging to the user is malnutrition.
It is described to determine each keyword in the critical field set in the alternatively possible way of realization of first aspect
Before the corresponding score value of section and weighted value, further include：
The electronic health record data of history tumor patient are obtained, the electronic health record data include the battalion of the tumor patient
The state of supporting and corresponding feature status information；
The electronic health record data are trained, determine the corresponding score value of the feature status information and weight
Value；
It is described to determine the corresponding score value of each critical field and weighted value in the critical field set, including：
It determines and each matched feature status information of critical field respectively；
According to determining matching characteristic status information, the corresponding score value of each critical field and weighted value are determined.
In the alternatively possible way of realization of first aspect, further included in the electronic health record of the history tumor patient
The attribute information of the tumor patient further includes the attribute information of the user in the electronic health record data for treating screening；
It is described to determine the corresponding score value of the feature status information and weighted value, including：
The feature status information is determined respectively under different attribute informations, corresponding score value and weighted value；
Determining and each matched feature status information of critical field respectively, including：
According to the attribute information of the user, determine and each matched feature status information of critical field respectively.
In the alternatively possible way of realization of first aspect, the electronic health record data for obtaining history tumor patient
Later, it further includes：
Language parsing is carried out to the electronic health record data, determines that the tumour that the electronic health record data include is suffered from
The nutritional status of person and corresponding feature status information.
In the alternatively possible way of realization of first aspect, it is described determine the user belonging to nutritional status it
Afterwards, it further includes：
By inquiring nutritional status and Improving advice database, determining and exporting the nutritional status pair belonging to the user
The Improving advice answered.
Tumor patient nutrition Screening method provided in this embodiment obtains the electronic medical records data for treating screening, then first
According to preset extracting rule, from electronic medical records extracting data critical field set, finally wrapped according in critical field set
The quantity and/or type of the critical field included determines the nutritional status belonging to user.Hereby it is achieved that pass through the electricity to user
Critical field carries out screening in sub- case data, and the nutritional status belonging to quick determining user has saved diagnosing tumour patient battalion
The cost for the problem of supporting, saves the time, improves the accuracy rate and efficiency of diagnosis.
In order to achieve the above object, the embodiment of the present application second aspect proposes a kind of tumor patient nutrition Screening system, including：
Communication interface, processor and memory；Wherein, the communication interface, for obtaining the electronic health record data for treating screening, the electricity
Sub- medical record data includes the mark of user；The processor, for according to preset extracting rule, from the electronic health record number
According to middle extraction critical field set；And the quantity and/or type of critical field included according to the critical field set, really
Nutritional status belonging to the fixed user；The memory, for storing the execution program of the processor.
In a kind of possible way of realization of second aspect, the processor is specifically used for：
According to preset key message, include the word of the key message from the electronic health record extracting data of the user
Duan Jihe, wherein, at least one of the key message and following information are related：Symptom, sign, hematology variable and biochemistry
Index.
In the alternatively possible way of realization of second aspect, the nutritional status includes：There are risk and nutrition not
It is good；
The processor, is additionally operable to：
Judge at least one of critical field set critical field whether with the field in the first set of fields
Match；
If so, determine that the nutritional status belonging to the user is malnutrition；
Otherwise, judge at least one of critical field set critical field whether with the word in the second set of fields
Section matching；
If so, determine that the nutritional status belonging to the user is that there are risks；
Wherein, the first set of fields is the corresponding feature set of malnutrition, and the second set of fields is there are risk shapes
The corresponding feature set of state.
In the alternatively possible way of realization of second aspect, the processor is additionally operable to：
When any one critical field in the critical field set is not with the fields match in the first set of fields,
Determine the corresponding score value of each critical field and weighted value in the critical field set；
According to the corresponding score value of each critical field and weighted value, determining the score of the critical field set is
It is no to be more than preset value；
If so, determine that the nutritional status belonging to the user is malnutrition.
In the alternatively possible way of realization of second aspect, the communication interface is additionally operable to：
The electronic health record data of history tumor patient are obtained, the electronic health record data include the battalion of the tumor patient
The state of supporting and corresponding feature status information；
The processor is additionally operable to be trained the electronic health record data, determines the feature status information difference
Corresponding score value and weighted value；
It determines and each matched feature status information of critical field respectively；
According to determining matching characteristic status information, the corresponding score value of each critical field and weighted value are determined.
In the alternatively possible way of realization of second aspect, further included in the electronic health record of the history tumor patient
The attribute information of the tumor patient further includes the attribute information of the user in the electronic health record data for treating screening；
The processor, is additionally operable to：
The feature status information is determined respectively under different attribute informations, corresponding score value and weighted value；
According to the attribute information of the user, determine and each matched feature status information of critical field respectively.
In the alternatively possible way of realization of second aspect, the processor is additionally operable to：
Language parsing is carried out to the electronic health record data, determines that the tumour that the electronic health record data include is suffered from
The nutritional status of person and corresponding feature status information.
In the alternatively possible way of realization of second aspect, which further includes：Display
Component；
The processor is additionally operable to inquire nutritional status with after Improving advice database, determining by the communication interface
Improving advice corresponding with the nutritional status belonging to the user, and pass through belonging to the display module output and the user
The corresponding Improving advice of nutritional status.
Tumor patient nutrition Screening system provided in this embodiment obtains the electronic medical records data for treating screening, then first
According to preset extracting rule, from electronic medical records extracting data critical field set, finally wrapped according in critical field set
The quantity and/or type of the critical field included determines the nutritional status belonging to user.Hereby it is achieved that pass through the electricity to user
Critical field carries out screening in sub- case data, and the nutritional status belonging to quick determining user has saved diagnosing tumour patient battalion
The cost for the problem of supporting, saves the time, improves the accuracy rate and efficiency of diagnosis.
The additional aspect of the present invention and advantage will be set forth in part in the description, and will partly become from the following description
It obtains significantly or is recognized by the practice of the present invention.
Description of the drawings
Above-mentioned and/or additional aspect and advantage of the invention will become from the following description of the accompanying drawings of embodiments
Significantly and it is readily appreciated that, wherein：
Fig. 1 is the flow chart of the tumor patient nutrition Screening method of the application one embodiment；
Fig. 2 is the flow chart of the tumor patient nutrition Screening method of the application another embodiment；
The structure diagram of the tumor patient nutrition Screening system of Fig. 3 the application one embodiment.
Specific embodiment
Embodiments herein is described below in detail, the example of the embodiment is shown in the drawings, wherein from beginning to end
Same or similar label represents same or similar element or the element with same or like function.Below with reference to attached
The embodiment of figure description is exemplary, it is intended to for explaining the application, and it is not intended that limitation to the application.
Each embodiment of the application is diagnosed mainly for existing tumor patient nutrition problem, usually relies on and has professional skill
Clinical nutrition teacher carry out, not only waste a large amount of cost and time, working efficiency is low, has an effect on asking for tumor patient rehabilitation
Topic proposes that a kind of electronic health record data by tumor patient carry out screening, quickly determines the nutritional status belonging to the patient
Method.
Specifically, the tumor patient nutrition Screening method that the application provides, the electronics that can utilize history tumor patient is sick
It counts evidence one by one, obtains there are risk status or the corresponding feature of malnutrition, then will be from the electricity for the tumor patient for treating screening
The feature obtained in sub- medical record data is compared with it, to determine the nutritional status of tumor patient.
Below with reference to the accompanying drawings the tumor patient nutrition Screening method and system of the embodiment of the present application are described.
Fig. 1 is the flow chart of the tumor patient nutrition Screening method of the application one embodiment.
As shown in Figure 1, the tumor patient nutrition Screening method, including：
Step 101, the electronic health record data for treating screening are obtained, electronic health record data include the mark of user.
Tumor patient nutrition Screening method provided in this embodiment, executive agent are suffered from for tumour provided by the embodiments of the present application
Person's nutrition Screening system, the system can be configured in the central data management center of hospital or tumour section office of hospital
Control data corporation etc. is entreated, the electronic health record data of each user are managed collectively by central data management center, to facilitate medical matters
Personnel are as needed, during diagnosis, transfer related data with auxiliary diagnosis and treatment.
Wherein, user identifier can be that name, identification card number, medical insurance card number, patient number of tumor patient etc. uniquely may be used
To identify any mark that the user is different from other users.
Step 102, according to preset extracting rule, from electronic health record extracting data critical field set.
Wherein, preset extracting rule, the method to extract critical field set from electronic health record database, specifically
, type, quantity of critical field of extraction etc. can be included.
It is understood that during being treated to user, medical worker can by the various symptoms of user or
Impression is charged in the electronic health record at central data management center, so as in the nutrition problem of diagnosing tumour patient, pass through
The mark of user transfers the electronic health record data of the user, and from electronic health record extracting data critical field, to determine user
Nutritional status.
For example, when there is nutrition problem in tumor patient, it will usually occur for example, nausea, dizziness, no appetite stop
Defecation is vented, progressive dysphagia, and physical situation ECOG scores >=3 points, becomes thin, xanthochromia (skin and mucosa jaundice), the colour of skin is grey
In vain, edema of pair of lower extremities, constitutional index BMI≤18.5kg/m2(Kilograms Per Square Meter) while weight loss, weight loss >=5kg
(kilogram), albumin≤35g/L (g/l) while weight loss, muscle mass are less than range of normal value while weight loss
2kg, dyscrasia appearance, etc. symptoms.Then when the nutritional status to tumor patient diagnoses, you can from the electronic health record of patient
In, by way of fields match, extraction and the relevant field of above-mentioned symptom.
During specific implementation, can according to the corresponding symptom of each nutritional status, sign, hematology variable and biochemical indicator etc.,
The key message to be screened is pre-set, then is being obtained after the electronic health record data of screening, you can from the case history number of user
Include the set of fields of the key message according to extraction in library.
Wherein, key message can be related at least one of following information：Symptom, sign, hematology variable and life
Change index.Specifically, symptom is the autoscopia to body physiological function exception after patient's illness and impression, for example, nauseous, dizzy
Dizzy, progressive dysphagia, etc.；The anomalous variation that sign is found by doctor when checking patient, for example, body temperature, pulse,
Weight, blood pressure etc.；Hematology variable is the variable related with blood and hematopoietic tissue, for example, total white blood cells, blood platelet is total
Number etc.；Index of the biochemical indicator for liver function, renal function, inflammation etc., for example, creatine index, uric acid index, albumin refer to
Mark, prealbumin index, C reactive protein index etc..
As an example it is assumed that pre-set extraction and sign, the relevant key message of biochemical indicator, then if what is obtained treats
In user's electronic health record data of screening, including weight loss, constitutional index BMI≤18.5kg/m2While weight loss, body
Decline >=5kg again, nausea, the information such as dizziness, then can go out from the electronic health record extracting data of user including：Weight loss,
Constitutional index BMI≤18.5kg/m2While the fields such as weight loss, weight loss >=5kg, as the current nutrition shape of the patient
The corresponding critical field set of state.
Step 103, the quantity and/or type of the critical field included according to critical field set, determines belonging to user
Nutritional status.
Wherein, the nutritional status belonging to user, can be including there are risk status and malnutrition.
During specific implementation, the corresponding feature set of malnutrition can be pre-set and there are the corresponding spies of risk status
Collection, then after the electronic health record extracting data of user critical field set, you can by the pass in the critical field set
Key field feature set corresponding with malnutrition and there are the fields in the corresponding feature set of risk status to be matched, root
According to the quantity and/or type of matched critical field, the nutritional status belonging to user is determined.
Detailed process may comprise steps of：
Step 103a, judge at least one of critical field set critical field whether with the word in the first set of fields
Section matching.
Wherein, the first set of fields be the corresponding feature set of malnutrition, such as can include as BMI≤
18.5kg/m2While weight loss, weight loss >=5kg, the fields such as albumin≤35g/L while weight loss.
Step 103b, if so, determining that the nutritional status belonging to user is malnutrition.
Step 103c, otherwise, judge at least one of critical field set critical field whether with the second set of fields
In fields match.
Wherein, the second set of fields is there are the corresponding feature set of risk status, for example can be included such as xanthochromia, and the colour of skin is grey
In vain, the fields such as boatshaped abdomen.
Step 103d, if so, determining that the nutritional status belonging to user is that there are risks.
As an example it is assumed that the corresponding feature set of malnutrition is：BMI≤18.5kg/m2While weight loss,
Weight loss >=5kg, albumin≤35g/L while weight loss, muscle mass are less than range of normal value while weight loss
2kg, dyscrasia hold；There are the corresponding feature sets of risk status to be：Stop defecation exhaust, progressive dysphagia, physical situation
ECOG scores >=3 points, becomes thin, xanthochromia, the colour of skin is pale, boatshaped abdomen, edema of pair of lower extremities.
So during diagnosis, if the critical field collection from the electronic health record extracting data of user is combined into " under weight
7kg, BMI=19kg/m drop2", it may be determined that " the weight loss 7kg " in the critical field set is corresponding with malnutrition
Feature set in " weight loss >=5kg " matching, then can determine that the user belongs to malnutrition.And if from user's
The critical field collection of electronic health record extracting data is combined into that " colour of skin is pale, edema of pair of lower extremities, physical situation ECOG scoring=2
Point ", it may be determined that it is arbitrary in any critical field feature set corresponding with malnutrition in the critical field set
Field all mismatches, can again by the critical field in the critical field set with there are in the corresponding feature set of risk status
Field is compared, due to " colour of skin is pale, edema of pair of lower extremities " with there are the fields match in the corresponding feature set of risk status,
It can determine that the user belongs to that there are risk status.
Further it will be understood that after the nutritional status belonging to user is determined, tumor patient nutrition Screening system is also
Improving advice corresponding with nutritional status can be provided to the user, i.e., in the embodiment of the present application, determine the nutrition belonging to user
After state, it can also include：
By inquiring nutritional status and Improving advice database, determining and exporting corresponding with the nutritional status belonging to user
Improving advice.
During specific implementation, the mapping relations of nutritional status and Improving advice can be pre-set, and in Improving advice data
In library store user various nutritional status in corresponding feature set under corresponding Improving advice and each nutritional status, no
The corresponding Improving advice with field, it is determined that, can be by inquiring Improving advice database, really after the nutritional status belonging to user
Determine and export the corresponding Improving advice of nutritional status, so as to allow medical worker according to nutrition of the Improving advice to tumor patient
Problem is improved.
Wherein it is determined that after the corresponding Improving advice of nutritional status belonging to user, Improving advice can be passed through display screen
It is shown, Improving advice in the form of standard report can also be printed, do not limited herein by associated printer
System.
Tumor patient nutrition Screening method provided in this embodiment obtains the electronic medical records data for treating screening, then first
According to preset extracting rule, from electronic medical records extracting data critical field set, finally wrapped according in critical field set
The quantity and/or type of the critical field included determines the nutritional status belonging to user.Hereby it is achieved that pass through the electricity to user
Critical field carries out screening in sub- case data, and the nutritional status belonging to quick determining user has saved diagnosing tumour patient battalion
The cost for the problem of supporting, saves the time, improves the accuracy rate and efficiency of diagnosis.
It it is found that can be by from the electronic medical records extracting data of user, in critical field set by above-mentioned analysis
Field in critical field feature set corresponding with each nutritional status is compared one by one, to determine the nutritional status of user.
In a kind of possible way of realization of the application, if can not the accurate judgement patient according to the arbitrary single symptom that tumor patient occurs
Whether malnutrition has been occurred, then overall merit can be carried out according to the various symptoms that the patient occurs, to determine the patient
Whether there is malnutritive problem, accurately to determine the nutritional status of user, with reference to Fig. 2, the above situation is carried out specific
Explanation.
Fig. 2 is the flow chart of the tumor patient nutrition Screening method of the application another embodiment.
As shown in Fig. 2, tumor patient nutrition Screening method provided in this embodiment includes the following steps：
Step 201, the electronic health record data for treating screening are obtained, electronic health record data include the mark of user.
Step 202, according to preset extracting rule, from electronic health record extracting data critical field set.
Step 203, judge at least one of critical field set critical field whether with the word in the first set of fields
Section matching if so, performing step 206, otherwise, performs step 204.
Wherein, the first set of fields is the corresponding feature set of malnutrition.
Step 204, the corresponding score value of each critical field and weighted value in critical field set are determined.
Step 205, according to the corresponding score value of each critical field and weighted value, determining the score of critical field set is
It is no to be more than preset value, if so, performing step 206, otherwise, perform step 207.
Step 206, it is malnutrition to determine the nutritional status belonging to user.
It is understood that at the central data management center of hospital or tumour section office, can take care of has each user
Electronic health record data, these electronic health record data include the nutritional status for the tumor patient having determined and corresponding feature
Collection in the embodiment of the present application, can utilize these electronic health record data, determine to treat the key in the electronic health record data of screening
The score of set of fields, and then determine whether the nutritional status belonging to user is malnutrition.I.e. before step 205,
It can also include：
The electronic health record data of history tumor patient are obtained, the electronic health record data include the nutrition shape of tumor patient
State and corresponding feature status information；
Electronic health record data are trained, determine the corresponding score value of feature status information and weighted value.
Wherein, feature status information can be the feature status information in the corresponding feature set of malnutrition, such as
It can include changes of weight situation, appetite behavior, diet situation, meal situation, ECOG scorings, medical diagnosis on disease situation, edema feelings
The information of condition etc..
Specifically, the term due to different medical staff is accustomed to difference, different medical staff are to same diagnosing patient
When, the language in the electronic health record data of record may be not fully consistent, in order to improve the standard to electronic health record data analysis
True property first can carry out language parsing, to accurately identify the natural language in electronic health record, Ran Houzai to electronic health record data
By feature extraction, nutritional status and corresponding feature status information from electronic health record extracting data tumor patient.
For example, after the electronic medical records data for reading tumor patient, syntax and other knowledge by utilization natural language,
It determines the function of the constituent of each sentence in electronic medical records data, to establish a kind of data structure, and obtains the meaning of each sentence
Justice so as to accurately identify the nutritional status of the tumor patient in electronic medical records and corresponding feature status information, and passes through effectively
Tumors of nutrients issue database is gradually established and improved to learning and memory.
It obtains in historical electronic medical record data after the nutritional status of tumor patient and corresponding feature status information, you can
Based on artificial intelligence technology, by machine learning, boosting algorithms etc., electronic medical records data are trained, structure is each
The weight relationship model of the corresponding feature status information of nutritional status forms complex classifier, continuouslys optimize weight relationship mould
Type, so that it is determined that each nutritional status model corresponding with feature status information and each feature status information are in each nutrition
Score value and weighted value in state.And then getting after the electronic health record of screening, you can with reference to fixed nutritional status
The score value and weighted value of model corresponding with feature status information and each feature status information in Different Nutrition state, according to
Critical field set in electronic health record data, determines the nutritional status belonging to user.
Correspondingly, step 205 can specifically include：
It determines and the matched feature status information of each critical field respectively；
According to determining matching characteristic status information, the corresponding score value of each critical field and weighted value are determined.
During specific implementation, it is determined that the corresponding score value of the corresponding feature status information of malnutrition and weighted value
It afterwards, can basis if the critical field from the electronic health record extracting data for treating screening is matched with some feature status information
The corresponding score value of this feature status information and weighted value determine the corresponding score value of matched critical field and weighted value, and then really
Determine the score of critical field set, if the score is more than preset value, can determine the corresponding user of the electronic health record data
Belong to malnutrition.
Wherein, when preset value belongs to malnutrition for user, the score of critical field set, specifically, can be with
According to the score value and weight of each feature status information being trained by the electronic health record data to history tumor patient
Value is set.
As an example it is assumed that by the training of the electronic health record data to history tumor patient, malnutritive shape has been obtained
The corresponding score value of each feature status information and weighted value that state includes.Specifically, " changes of weight situation " corresponding weighted value is
0.5, wherein, " weight loss 5kg " corresponding score value is 10.0 points, and " weight loss 4kg " corresponding score value is 9.0 points；" appetite
The corresponding weighted value of situation " is 0.2, wherein, " no appetite " corresponding score value is 10.0 points, and " loss of appetite " corresponding score value is
9.0 point；" ECOG scorings " corresponding weighted value is 0.3, wherein, " ECOG scores=3 points " corresponding score value is 10.0 points,
" ECOG scores=2 points " corresponding score value is 9.0 points.If the keyword of the electronic health record extracting data of screening is treated from certain patient
Section is " weight loss 4kg ", " no appetite ", then all mismatches, can occur to the patient with the field in the first set of fields
Various symptoms carry out overall merit, with determine the patient whether there is malnutritive problem.Due to " weight loss 4kg " and spy
It is related to levy status information " changes of weight situation ", " no appetite " is related to feature status information " appetite behavior ", and according to feature
Status information " changes of weight situation " and " appetite behavior " corresponding score value and weighted value, it may be determined that " changes of weight feelings
The corresponding weighted value of condition " is 0.5, and " weight loss 4kg " corresponding score value is 9.0 points, and " appetite behavior " corresponding weighted value is
0.2, " no appetite " corresponding score value is 10.0 points, and then determines that critical field set is scored at 6.5 points, it is assumed that preset value
It it is 6.0 points, then the score is more than preset value, it may be determined that the corresponding user of the electronic health record data belongs to malnutritive shape
State.
It is worth noting that, same feature status information, for different users, may correspond to different score values
And weighted value.For example, weight loss 5kg, the influence for old man and adult is different, and the biochemical indicator of male and female is good for
Health reference value also differs, then, in the embodiment of the present application, it can also determine to use according to information such as age, the genders of user
Nutritional status belonging to family.
I.e. before step 205, the electronic health record data of history tumor patient are trained, determine feature status information
When corresponding score value and weighted value, feature status information can also be determined respectively under different attribute informations, it is corresponding
Score value and weighted value.Correspondingly, determine each keyword from the critical field set of electronic health record extracting data for treating screening
When the corresponding score value of section and weighted value, it can respectively determine to match with each critical field first according to the attribute information of user
Feature status information, further according to determining matching characteristic status information, determine the corresponding score value of each critical field and power
Weight values, and then determine the score of critical field set, so that it is determined that whether the nutritional status belonging to user is malnutritive.
Wherein, the electronic health record data neutralization of history tumor patient treats that all including tumour in the electronic health record data of screening suffers from
The attribute information of person, such as gender, age, height, weight etc..
As an example it is assumed that by the training of the electronic health record data to history tumor patient, user is obtained as adult man
Property when, " changes of weight situation " corresponding weighted value be 0.5, wherein, " weight loss 5kg " corresponding score value be 10.0 points, " body
It is 9.0 points to decline the corresponding score values of 4kg " again；" appetite behavior " corresponding weighted value is 0.2, wherein, corresponding point of " no appetite "
It is 10.0 points to be worth, and " loss of appetite " corresponding score value is 9.0 points；" ECOG scorings " corresponding weighted value is 0.3, wherein, " ECOG
The corresponding score value of=3 points of scoring " is 10.0 points, and " ECOG scores=2 points " corresponding score value is 9.0 points；User is adult female
When, " changes of weight situation " corresponding weighted value is 0.5, wherein, " weight loss 5kg " corresponding score value is 8.0 points, " weight
It is 7.0 points to decline the corresponding score values of 4kg "；" appetite behavior " corresponding weighted value is 0.2, wherein, " no appetite " corresponding score value
It it is 8.0 points, " loss of appetite " corresponding score value is 7.0 points；" ECOG scorings " corresponding weighted value is 0.3, wherein, " ECOG is commented
Points=3 points " corresponding score value is 8.0 points, " ECOG scores=2 points " corresponding score value is 7.0 points.If from treat certain position of screening into
The critical field of the electronic health record extracting data of year women is " weight loss 4kg ", " no appetite ", then with the first set of fields
In field all mismatch, can to the patient occur various symptoms carry out overall merit, with determine the patient whether occur
Malnutritive problem.Since " weight loss 4kg " is related to feature status information " changes of weight situation ", " no appetite " and feature
Status information " appetite behavior " is related, and when being adult female according to user, feature status information " changes of weight situation " and " eats
The corresponding score value of desire situation " and weighted value, it may be determined that " changes of weight situation " corresponding weighted value is 0.5, " under weight
It is 7.0 points to drop the corresponding score values of 4kg ", and " appetite behavior " corresponding weighted value is 0.2, and " no appetite " corresponding score value is 8.0
Point, and then determining that critical field set is scored at 5.1 points, it is assumed that preset value is 5.5 points, then the score is less than preset
Value, it may be determined that the corresponding user of the electronic health record data is not belonging to malnutrition, so as to continue to judge user institute
Whether the nutritional status of category is other states.
Step 207, judge at least one of critical field set critical field whether with the word in the second set of fields
Section matching.
Wherein, the second set of fields is there are the corresponding feature sets of risk status.
Step 208, if so, determining that the nutritional status belonging to user is that there are risks.
Specifically, if the score of critical field set is less than or equal to preset value, can continue to judge described in user
Whether nutritional status is that there are risk status.
It is understood that judge nutritional status belonging to user whether be there are during risk status, can also pass through by
Each critical field with there are the corresponding feature status informations of risk status to be matched, according to there are the corresponding features of risk status
The corresponding score value of status information and weighted value determine the score of each critical field, and then determine whether user belongs to presence
Risk status.
Tumor patient nutrition Screening method provided in this embodiment is being obtained after the electronic health record data of screening, first
Therefrom extract critical field set, then judge critical field set whether with the fields match in the first set of fields, if it is not, again
Determine the corresponding score value of each critical field and weighted value in critical field set, to determine the score of critical field set,
Then determine whether the nutritional status belonging to user is malnutrition by the score, if it is not, judging critical field collection again
Close whether with the fields match in the second set of fields, so that it is determined that whether the nutritional status belonging to user is that there are risk shapes
State.Hereby it is achieved that screening is carried out, and correspond to according to each nutritional status by critical field in the electronic medical records data to user
Feature set, score the critical field set of the electronic medical records extracting data from user, with quickly determine user institute
The nutritional status of category has saved the cost of diagnosing tumour patient's nutrition problem, has saved the time, improve diagnosis accuracy rate and
Efficiency.
In order to realize above-described embodiment, the application also proposes a kind of tumor patient nutrition Screening system.Fig. 3 the application one
The structure diagram of the tumor patient nutrition Screening system of embodiment.
As shown in figure 3, the tumor patient nutrition Screening system 30 includes：Communication interface 31, processor 32 and memory 33；
Wherein, the communication interface 31 for obtaining the electronic health record data for treating screening, is wrapped in the electronic health record data
Include the mark of user；
The processor 32, for according to preset extracting rule, from the electronic health record extracting data critical field
Set；And the quantity and/or type of critical field included according to the critical field set, it determines belonging to the user
Nutritional status；
The memory 33, for storing the execution program of the processor.
Further, in a kind of possible way of realization of the embodiment of the present application, above-mentioned processor 32 is specifically used for：
According to preset key message, include the word of the key message from the electronic health record extracting data of the user
Duan Jihe, wherein, at least one of the key message and following information are related：Symptom, sign, hematology variable and biochemistry
Index.
In the alternatively possible way of realization of the embodiment of the present application, the nutritional status includes：There are risks and nutrition
It is bad；
Correspondingly, above-mentioned processor 32, is additionally operable to：
Judge at least one of critical field set critical field whether with the field in the first set of fields
Match；
If so, determine that the nutritional status belonging to the user is malnutrition；
Otherwise, judge at least one of critical field set critical field whether with the word in the second set of fields
Section matching；
If so, determine that the nutritional status belonging to the user is that there are risks；
Wherein, the first set of fields is the corresponding feature set of malnutrition, and the second set of fields is there are risk shapes
The corresponding feature set of state.
In the alternatively possible way of realization of the embodiment of the present application, above-mentioned processor 32 is additionally operable to：
When any one critical field in the critical field set is not with the fields match in the first set of fields,
Determine the corresponding score value of each critical field and weighted value in the critical field set；
According to the corresponding score value of each critical field and weighted value, determining the score of the critical field set is
It is no to be more than preset value；
If so, determine that the nutritional status belonging to the user is malnutrition.
Further, above-mentioned communication interface 31, is additionally operable to：
The electronic health record data of history tumor patient are obtained, the electronic health record data include the battalion of the tumor patient
The state of supporting and corresponding feature status information；
Correspondingly, above-mentioned processor 32, is additionally operable to be trained the electronic health record data, determines the significant condition
The corresponding score value of information and weighted value；
It determines and each matched feature status information of critical field respectively；
According to determining matching characteristic status information, the corresponding score value of each critical field and weighted value are determined.
In the alternatively possible way of realization of the embodiment of the present application, also wrapped in the electronic health record of the history tumor patient
The attribute information of the tumor patient is included, the attribute information of the user is further included in the electronic health record data for treating screening；
Correspondingly, above-mentioned processor 32, is additionally operable to：
The feature status information is determined respectively under different attribute informations, corresponding score value and weighted value；
According to the attribute information of the user, determine and each matched feature status information of critical field respectively.
In the alternatively possible way of realization of the embodiment of the present application, above-mentioned processor 32 is additionally operable to：
Language parsing is carried out to the electronic health record data, determines that the tumour that the electronic health record data include is suffered from
The nutritional status of person and corresponding feature status information.
In the alternatively possible way of realization of the embodiment of the present application, which further includes：
Display module 34；
Above-mentioned processor 32 is additionally operable to after inquiring nutritional status and Improving advice database by the communication interface 31,
It determines Improving advice corresponding with the nutritional status belonging to the user, and passes through the output of display module 34 and the user
The corresponding Improving advice of affiliated nutritional status.
It should be noted that the aforementioned explanation to tumor patient nutrition Screening embodiment of the method is also applied for the implementation
The tumor patient nutrition Screening system of example, details are not described herein again.
Tumor patient nutrition Screening system provided in this embodiment obtains the electronic medical records data for treating screening, then first
According to preset extracting rule, from electronic medical records extracting data critical field set, finally wrapped according in critical field set
The quantity and/or type of the critical field included determines the nutritional status belonging to user.Hereby it is achieved that pass through the electricity to user
Critical field carries out screening in sub- case data, and the nutritional status belonging to quick determining user has saved diagnosing tumour patient battalion
The cost for the problem of supporting, saves the time, improves the accuracy rate and efficiency of diagnosis.
In the description of this specification, reference term " one embodiment ", " example ", " is specifically shown " some embodiments "
The description of example " or " some examples " etc. means specific features, structure, material or the spy for combining the embodiment or example description
Point is contained at least one embodiment or example of the application.In the present specification, schematic expression of the above terms are not
It must be directed to identical embodiment or example.Moreover, particular features, structures, materials, or characteristics described can be in office
It is combined in an appropriate manner in one or more embodiments or example.In addition, without conflicting with each other, the skill of this field
Art personnel can tie the different embodiments or examples described in this specification and the feature of different embodiments or examples
It closes and combines.
In addition, term " first ", " second " are only used for description purpose, and it is not intended that instruction or hint relative importance
Or the implicit quantity for indicating indicated technical characteristic.Define " first " as a result, the feature of " second " can be expressed or
Implicitly include at least one this feature.In the description of the present application, " multiple " are meant that at least two, such as two, three
It is a etc., unless otherwise specifically defined.
Any process described otherwise above or method description are construed as in flow chart or herein, represent to include
Module, segment or the portion of the code of the executable instruction of one or more the step of being used to implement custom logic function or process
Point, and the range of the preferred embodiment of the application includes other realization, wherein can not press shown or discuss suitable
Sequence, including according to involved function by it is basic simultaneously in the way of or in the opposite order, to perform function, this should be by the application
Embodiment person of ordinary skill in the field understood.
Expression or logic and/or step described otherwise above herein in flow charts, for example, being considered use
In the order list for the executable instruction for realizing logic function, may be embodied in any computer-readable medium, for
Instruction execution system, device or equipment (such as computer based system, including the system of processor or other can be held from instruction
The system of row system, device or equipment instruction fetch and execute instruction) it uses or combines these instruction execution systems, device or set
It is standby and use.
In addition, each functional unit in each embodiment of the application can be integrated in a processing module, it can also
That each unit is individually physically present, can also two or more units be integrated in a module.Above-mentioned integrated mould
The form that hardware had both may be used in block is realized, can also be realized in the form of software function module.The integrated module is such as
Fruit is realized in the form of software function module and is independent product sale or in use, can also be stored in a computer
In read/write memory medium.
Storage medium mentioned above can be read-only memory, disk or CD etc..Although it has been shown and retouches above
Embodiments herein is stated, it is to be understood that above-described embodiment is exemplary, it is impossible to be interpreted as the limit to the application
System, those of ordinary skill in the art can be changed above-described embodiment, change, replace and become within the scope of application
Type.
Claims (16)
- A kind of 1. tumor patient nutrition Screening method, which is characterized in that include the following steps：The electronic health record data for treating screening are obtained, the electronic health record data include the mark of user；According to preset extracting rule, from the electronic health record extracting data critical field set；According to the quantity and/or type of critical field that the critical field set includes, the battalion belonging to the user is determined The state of supporting.
- 2. the method as described in claim 1, which is characterized in that it is described according to preset extracting rule, from the electronic health record Extracting data critical field set, including：According to preset key message, include the sets of fields of the key message from the electronic health record extracting data of the user It closes, wherein, at least one of the key message and following information are related：Symptom, sign, hematology variable and biochemistry refer to Mark.
- 3. the method as described in claim 1, which is characterized in that the nutritional status includes：There are risks and malnutrition；The quantity and/or type of critical field included according to the critical field set, determines belonging to the user Nutritional status, including：Judge at least one of critical field set critical field whether with the fields match in the first set of fields；If so, determine that the nutritional status belonging to the user is malnutrition；Otherwise, judge at least one of critical field set critical field whether with the field in the second set of fields Match；If so, determine that the nutritional status belonging to the user is that there are risks；Wherein, the first set of fields is the corresponding feature set of malnutrition, and the second set of fields is there are risk status pair The feature set answered.
- 4. method as claimed in claim 3, which is characterized in that described to judge at least one of critical field set pass Whether key field is with after the fields match in the first set of fields, further including：If not, it is determined that the corresponding score value of each critical field and weighted value in the critical field set；According to the corresponding score value of each critical field and weighted value, determine whether the score of the critical field set is big In preset value；If so, determine that the nutritional status belonging to the user is malnutrition.
- 5. method as claimed in claim 4, which is characterized in that described to determine each critical field point in the critical field set Before not corresponding score value and weighted value, further include：The electronic health record data of history tumor patient are obtained, the electronic health record data include the nutrition shape of the tumor patient State and corresponding feature status information；The electronic health record data are trained, determine the corresponding score value of the feature status information and weighted value；It is described to determine the corresponding score value of each critical field and weighted value in the critical field set, including：It determines and each matched feature status information of critical field respectively；According to determining matching characteristic status information, the corresponding score value of each critical field and weighted value are determined.
- 6. method as claimed in claim 5, which is characterized in that further included in the electronic health record of the history tumor patient described The attribute information of tumor patient further includes the attribute information of the user in the electronic health record data for treating screening；It is described to determine the corresponding score value of the feature status information and weighted value, including：The feature status information is determined respectively under different attribute informations, corresponding score value and weighted value；Determining and each matched feature status information of critical field respectively, including：According to the attribute information of the user, determine and each matched feature status information of critical field respectively.
- 7. method as claimed in claim 5, which is characterized in that it is described obtain history tumor patient electronic health record data it Afterwards, it further includes：Language parsing is carried out to the electronic health record data, determines the tumor patient that the electronic health record data include Nutritional status and corresponding feature status information.
- 8. the method as described in claim 1-7 is any, which is characterized in that it is described determine the user belonging to nutritional status it Afterwards, it further includes：By inquiring nutritional status and Improving advice database, determining and exporting corresponding with the nutritional status belonging to the user Improving advice.
- 9. a kind of tumor patient nutrition Screening system, which is characterized in that including：Communication interface, processor and memory；Wherein, the communication interface, for obtaining the electronic health record data for treating screening, the electronic health record data include user Mark；The processor, for according to preset extracting rule, from the electronic health record extracting data critical field set；And According to the quantity and/or type of critical field that the critical field set includes, the nutrition shape belonging to the user is determined State；The memory, for storing the execution program of the processor.
- 10. system as claimed in claim 9, which is characterized in that the processor is specifically used for：According to preset key message, include the sets of fields of the key message from the electronic health record extracting data of the user It closes, wherein, at least one of the key message and following information are related：Symptom, sign, hematology variable and biochemistry refer to Mark.
- 11. system as claimed in claim 9, which is characterized in that the nutritional status includes：There are risks and malnutrition；The processor, is additionally operable to：Judge at least one of critical field set critical field whether with the fields match in the first set of fields；If so, determine that the nutritional status belonging to the user is malnutrition；Otherwise, judge at least one of critical field set critical field whether with the field in the second set of fields Match；If so, determine that the nutritional status belonging to the user is that there are risks；Wherein, the first set of fields is the corresponding feature set of malnutrition, and the second set of fields is there are risk status pair The feature set answered.
- 12. system as claimed in claim 11, which is characterized in that the processor is additionally operable to：When any one critical field in the critical field set is not with the fields match in the first set of fields, determine The corresponding score value of each critical field and weighted value in the critical field set；According to the corresponding score value of each critical field and weighted value, determine whether the score of the critical field set is big In preset value；If so, determine that the nutritional status belonging to the user is malnutrition.
- 13. system as claimed in claim 12, which is characterized in that the communication interface is additionally operable to：The electronic health record data of history tumor patient are obtained, the electronic health record data include the nutrition shape of the tumor patient State and corresponding feature status information；The processor is additionally operable to be trained the electronic health record data, determines that the feature status information corresponds to respectively Score value and weighted value；It determines and each matched feature status information of critical field respectively；According to determining matching characteristic status information, the corresponding score value of each critical field and weighted value are determined.
- 14. system as claimed in claim 13, which is characterized in that further include institute in the electronic health record of the history tumor patient The attribute information of tumor patient is stated, the attribute information of the user is further included in the electronic health record data for treating screening；The processor, is additionally operable to：The feature status information is determined respectively under different attribute informations, corresponding score value and weighted value；According to the attribute information of the user, determine and each matched feature status information of critical field respectively.
- 15. system as claimed in claim 13, which is characterized in that the processor is additionally operable to：Language parsing is carried out to the electronic health record data, determines the tumor patient that the electronic health record data include Nutritional status and corresponding feature status information.
- 16. the system as described in claim 9-15 is any, which is characterized in that further include：Display module；The processor is additionally operable to after inquiring nutritional status and Improving advice database by the communication interface, determining and institute The corresponding Improving advice of nutritional status belonging to user is stated, and passes through display module output and the nutrition belonging to the user The corresponding Improving advice of state.
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| CN108269607B (en) | 2020-11-24 |
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