CN112837806A - Intelligent blood pressure and blood sugar analysis auxiliary system and method - Google Patents
Intelligent blood pressure and blood sugar analysis auxiliary system and method Download PDFInfo
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- 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
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- G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
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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
- G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
- G16H20/60—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to nutrition control, e.g. diets
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Abstract
The invention provides an intelligent blood pressure and blood sugar analysis auxiliary system and method, belonging to the technical field of blood pressure and blood sugar analysis.A consultation dialogue module acquires patient information and records and stores the patient disease symptom evaluation result and medication suggestion; the searching module retrieves the patient information stored in the background cloud database according to the identity card number of the patient; the calling module calls the illness state information of the patient within a certain time and carries out early warning prompt; the display module displays the illness state information of the patient in a line chart mode; the suggestion module adopts keyword and participle retrieval, calls the cloud platform knowledge base and provides illness state suggestions. The invention provides treatment suggestions for patients through the form of inquiry dialogue, and is convenient to use; combining professional blood pressure and blood sugar big data; the real-time processing, analysis and recommendation of the specific conditions of the user have stronger practicability; provides the medicine taking advice, diet notice and life habit information; the method is focused on the field of blood pressure and blood sugar, and makes up the vacancy of the market.
Description
Technical Field
The invention relates to the technical field of blood pressure and blood sugar analysis, in particular to an intelligent blood pressure and blood sugar analysis auxiliary system and method.
Background
Hypertension and hypotension are all harmful to the body and need to be treated effectively according to the cause. Hypertension is one of the most common risk factors for cardiovascular and cerebrovascular diseases, and can cause the load of the heart to be increased and the injury of the vascular wall to cause the cardiovascular and cerebrovascular diseases; hypertensive heart disease can be caused, and finally heart failure occurs; cerebral apoplexy occurs due to cerebral blood supply insufficiency. Long-term hypotension causes insufficient blood supply of important viscera, and particularly brain tissues are extremely sensitive to ischemia and hypoxia; mild hypotension can cause dizziness, physical weakness, insomnia and dreaminess, and syncope in severe cases. Severe hypotension and insufficient perfusion of peripheral microcirculation caused by some diseases can cause ischemia and metabolic disturbance of important organs, thereby causing life risks.
The risk of hypoglycemia. Hypoglycemia occurs more suddenly and most often in the fasting state. Hypoglycemic patients often die suddenly because the functioning of the brain's nerve cells require sugar to maintain, and hypoglycemia can affect the normal functioning of the brain. Hypoglycemia, if not corrected in time, can result in irreversible damage to brain tissue, resulting in dementia, convulsions, coma, and even death. Hypoglycemia is also a serious hazard to the heart, and in severe cases, can lead to arrhythmia and even myocardial infarction.
The risk of hyperglycemia. Short-term hyperglycemia does not seriously threaten physical health, but the harm to physical health caused by long-term continuous hyperglycemia is very great. Hyperglycemia can induce cardiovascular and cerebrovascular diseases, and cause complications such as diabetic nephropathy, retinopathy, nervous necrosis, etc. Patients with hyperglycemia often feel fatigue and weakness because the body is lack of insulin secretion, the blood sugar cannot burn normally, and the body lacks energy. When hyperglycemia is not treated properly, blood glucose drops rapidly, causing hypoglycemia.
Although blood glucose meters are gradually entering the market, there is insufficient expertise and support of big data, and there is a lack of specific analysis and suggestions on user symptoms. Blood pressure and blood sugar are two chronic diseases, and a patient needs to be monitored and treated for a long time, so that the patient needs to pay attention to physical changes at all times to perform targeted treatment.
Disclosure of Invention
The invention aims to provide an intelligent blood pressure and blood sugar analysis auxiliary system and method which can store patient information, comprehensively provide rich professional knowledge big data for a patient to propose a targeted treatment suggestion and give an early warning prompt for dangerous conditions, so as to solve at least one technical problem in the background technology.
In order to achieve the purpose, the invention adopts the following technical scheme:
in one aspect, the invention provides an intelligent blood pressure and blood sugar analysis auxiliary system, which includes:
the inquiry dialogue module is used for acquiring the information of the patient and recording and storing the evaluation result of the state of illness and the medication suggestion of the patient;
the searching module is used for retrieving the patient information stored in the background cloud database according to the identity card number of the patient;
the calling module is used for calling the illness state information of the patient within a certain time and carrying out early warning prompt according to the patient information;
the display module is used for displaying the illness state information of the patient in a line chart mode;
and the suggestion module is used for searching by adopting key words and word segmentation according to the illness state information of the patient and combining the illness state index control condition and calling the cloud platform knowledge base to provide illness state suggestions.
Preferably, the inquiry dialogue module comprises: the device comprises a login unit, an entry unit and a storage unit;
the login unit is used for allowing the user to enter the inquiry dialogue module according to the login request;
the entry unit is used for receiving the identity card number, the blood pressure condition, the blood sugar condition and the treatment information entered by the patient;
and the storage unit is used for storing the blood pressure condition, the blood sugar condition and the treatment information of the patient, and the evaluation result and the medication suggestion of the patient disease symptoms, which are input by the doctor.
Preferably, the recommendation module comprises: the system comprises a retrieval unit, a judgment unit, a calling unit, a processing unit and a screening unit;
the retrieval unit is used for extracting keywords according to the condition of the patient and retrieving and classifying the illness state from the cloud platform knowledge base according to the keywords;
the judging unit is used for judging whether an illness state retrieval result exists or not;
the calling unit is used for directly calling the disease condition retrieval result when the judging unit judges that the disease condition retrieval result exists;
the processing unit is used for splitting and matching the keywords when the judging unit judges that no disease condition retrieval result exists;
and the screening unit is used for screening the optimal disease condition retrieval result from the cloud platform knowledge base according to the keywords after the splitting and matching processing.
Preferably, the patient information includes basic identity information of the patient and a condition symptom of the patient.
Preferably, the condition information includes blood pressure fluctuation conditions and blood sugar fluctuation conditions.
In a second aspect, the present invention provides a blood pressure and blood sugar analysis method implemented by the intelligent blood pressure and blood sugar analysis auxiliary system, including:
inquiring, talking, acquiring patient information, and recording and storing the patient condition evaluation result and the medication suggestion;
retrieving patient information stored in a background cloud database according to the identity card number of the patient;
according to the patient information, the illness state information of the patient within a certain time is called and early warning prompt is carried out;
displaying the illness state information of the patient in a line chart mode;
according to the illness state information of the patient, combining the illness state index control condition, adopting keywords and word segmentation retrieval, and calling a cloud platform knowledge base to provide illness state suggestions.
Preferably, the inquiry session comprises:
allowing the user to enter an inquiry dialogue module according to the login request;
receiving the identity card number, the blood pressure condition, the blood sugar condition and the treatment information which are input by the patient;
the blood pressure condition, the blood sugar condition and the treatment information of the patient are stored, and the evaluation result and the medication advice of the patient disease symptoms are input by a doctor.
Preferably, providing a medical advice comprises:
extracting keywords according to the condition of the patient, and performing disease retrieval and classification from a cloud platform knowledge base according to the keywords;
judging whether a disease condition retrieval result exists or not;
when the judging unit judges that the disease condition retrieval result exists, the disease condition retrieval result is directly called;
when the judging unit judges that no disease condition retrieval result exists, the keyword is split and matched;
and screening an optimal disease condition retrieval result from the cloud platform knowledge base according to the keywords subjected to the splitting and matching processing.
Preferably, the condition recommendation comprises:
drug administration advice, dietary cautions and lifestyle information are recommended for hypertension, hypotension, hyperglycemia and hypoglycemia, respectively.
Preferably, the patient information includes basic identity information of the patient and a condition symptom condition of the patient; the disease condition information comprises blood pressure fluctuation conditions and blood sugar fluctuation conditions.
The invention has the beneficial effects that: through the inquiry dialogue form, the use of the user is convenient, and the recommendation and suggestion of blood pressure and blood sugar are provided for the user through the current physical situation of the user; the blood pressure and blood sugar knowledge base comprises excellent documents such as professional famous books, famous medical records and the like; the system can process, analyze and recommend the specific conditions of the user in real time, and has stronger practicability; provides the medicine taking suggestion, the diet notice and the life habit information; the method is focused on the field of blood pressure and blood sugar, and makes up the vacancy of the market.
Additional aspects and advantages of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a schematic diagram of an intelligent inquiry dialogue process according to an embodiment of the present invention.
Fig. 2 is a flow chart of blood pressure and blood glucose weekly report retrieval and intelligent recommendation suggestion according to an embodiment of the invention.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below by way of the drawings are illustrative only and are not to be construed as limiting the invention.
It will be understood by those skilled in the art that, unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.
It will be further understood that terms, such as those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the prior art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.
As used herein, the singular forms "a", "an", "the" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms "comprises" and/or "comprising," when used in this specification, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.
For the purpose of facilitating an understanding of the present invention, the present invention will be further explained by way of specific embodiments with reference to the accompanying drawings, which are not intended to limit the present invention.
It should be understood by those skilled in the art that the drawings are merely schematic representations of embodiments and that the elements shown in the drawings are not necessarily required to practice the invention.
Example 1
The embodiment of the invention provides an intelligent blood pressure and blood sugar analysis auxiliary system, which comprises:
the inquiry dialogue module is used for acquiring the information of the patient and recording and storing the evaluation result of the state of illness and the medication suggestion of the patient;
the searching module is used for retrieving the patient information stored in the background cloud database according to the identity card number of the patient;
the calling module is used for calling the illness state information of the patient within a certain time and carrying out early warning prompt according to the patient information;
the display module is used for displaying the illness state information of the patient in a line chart mode;
and the suggestion module is used for searching by adopting key words and word segmentation according to the illness state information of the patient and combining the illness state index control condition and calling the cloud platform knowledge base to provide illness state suggestions.
In one embodiment of the present invention, the inquiry dialogue module comprises: the device comprises a login unit, an entry unit and a storage unit. The login unit is used for allowing the user to enter the inquiry dialogue module according to the login request; the entry unit is used for receiving the identity card number, the blood pressure condition, the blood sugar condition and the treatment information entered by the patient; and the storage unit is used for storing the blood pressure condition, the blood sugar condition and the treatment information of the patient, and the evaluation result and the medication suggestion of the patient disease symptoms, which are input by the doctor.
In one embodiment of the present invention, the suggestion module includes: the device comprises a retrieval unit, a judgment unit, a calling unit, a processing unit and a screening unit. The retrieval unit is used for extracting keywords according to the condition of the patient and retrieving and classifying the illness state from the cloud platform knowledge base according to the keywords; the judging unit is used for judging whether an illness state retrieval result exists or not; the calling unit is used for directly calling the disease condition retrieval result when the judging unit judges that the disease condition retrieval result exists; the processing unit is used for splitting and matching the keywords when the judging unit judges that no disease condition retrieval result exists; and the screening unit is used for screening the optimal disease condition retrieval result from the cloud platform knowledge base according to the keywords after the splitting and matching processing.
In one embodiment of the present invention, the patient information includes basic identity information of the patient and a condition symptom of the patient. The disease condition information comprises blood pressure fluctuation conditions and blood sugar fluctuation conditions.
The blood pressure and blood sugar analysis method which can be realized by the intelligent blood pressure and blood sugar analysis auxiliary system comprises the following steps:
inquiring, talking, acquiring patient information, and recording and storing the patient condition evaluation result and the medication suggestion;
retrieving patient information stored in a background cloud database according to the identity card number of the patient;
according to the patient information, the illness state information of the patient within a certain time is called and early warning prompt is carried out;
displaying the illness state information of the patient in a line chart mode;
according to the illness state information of the patient, combining the illness state index control condition, adopting keywords and word segmentation retrieval, and calling a cloud platform knowledge base to provide illness state suggestions.
In one embodiment of the present invention, the interrogation session comprises: allowing the user to enter an inquiry dialogue module according to the login request; receiving the identity card number, the blood pressure condition, the blood sugar condition and the treatment information which are input by the patient; the blood pressure condition, the blood sugar condition and the treatment information of the patient are stored, and the evaluation result and the medication advice of the patient disease symptoms are input by a doctor.
In one embodiment of the present invention, providing a medical condition recommendation comprises: extracting keywords according to the condition of the patient, and performing disease retrieval and classification from a cloud platform knowledge base according to the keywords; judging whether a disease condition retrieval result exists or not; when the judging unit judges that the disease condition retrieval result exists, the disease condition retrieval result is directly called; when the judging unit judges that no disease condition retrieval result exists, the keyword is split and matched; and screening an optimal disease condition retrieval result from the cloud platform knowledge base according to the keywords subjected to the splitting and matching processing.
In one embodiment of the invention, the condition recommendation comprises: drug administration advice, dietary cautions and lifestyle information are recommended for hypertension, hypotension, hyperglycemia and hypoglycemia, respectively.
As shown in fig. 1, in an embodiment of the present invention, an intelligent blood pressure and blood glucose auxiliary analysis method is provided, which includes:
an intelligent inquiry session. The intelligent dialog obtains basic information of the patient, the condition of the symptoms, evaluates the symptoms of the patient, provides medication suggestions and provides a summary for the user.
The inquiry dialogue step comprises:
step (1) entering an inquiry dialogue module,
and (2) filling and recording the patient, the identification card number, the recent blood pressure and blood sugar conditions and the information of treatment.
Step (3) evaluating the results of the patient
And (4) providing suggestions for the user.
The proposal is as follows: taking medicine, food and drink attention and living habits.
And performing word segmentation retrieval according to the condition of the patient, calling a cloud platform knowledge base, and giving an intelligent suggestion.
The cases are as follows: for hypertensive patients:
taking medicine.
Doctors can formulate reasonable targets for lowering blood pressure according to the age, health condition and risk of cardiovascular and cerebrovascular diseases of patients. The general population is less than 140/90mmHg, and the tolerance can be reduced to less than 130/80 mmHg.
There are six general classes of drugs commonly used to treat hypertension: diuretics, angiotensin converting enzyme inhibitors, angiotensin II receptor antagonists, beta-blockers, calcium channel blockers, direct renin inhibitors.
Matching with doctors, finding the medicine combination which is most suitable for the doctors and strictly following the medical advice.
② attention to diet.
Reducing sodium salt intake, and controlling flavoring agent (monosodium glutamate, sauce, etc.), pickled product, snack, etc.;
increasing potassium intake in the diet, increasing potassium-rich foods, such as fresh vegetables, fruits, and soy products;
reasonable diet, balance and addition of fruits in the diet. And (4) vegetables. Low fat dairy products, whole grain enriched with dietary fiber, plant derived proteins, and the like.
And life habits.
Controlling body weight;
smoking cessation and passive smoking avoidance;
no or controlled drinking;
moderate exercise was maintained weekly;
the mental stress is reduced, and the mental balance is kept;
as shown in fig. 2, in the embodiment of the present invention, an intelligent blood pressure and blood sugar auxiliary analysis system is used to provide a health report to a patient and provide intelligent recommendations and suggestions to the patient.
First, a convenient search is performed. The identity card number of the patient is used as the query basis;
retrieving the patient information recorded in the background cloud database according to the identity card number;
the blood pressure fluctuation of the patient in the last week and the blood glucose of the patient in the week are called. Early warning on health risks and early prevention and early discovery of diseases are realized;
the blood pressure fluctuation condition of the patient within a week is displayed by the display of the line graph, so that the patient can clearly see the body condition of the patient, whether the patient is good or bad, and the patient is reminded to go to a hospital for treatment; according to the blood sugar measurement condition within a week, the blood sugar measurement condition is displayed by the display of a line graph, so that the patient can clearly see the body condition of the patient, whether the patient is improved or deteriorated, and the early treatment is favorably reminded.
And aiming at the index control condition, obtaining the number of times of measurement of the patient in the week, and giving measurement results, wherein the number of times of measurement is normal, the number of times of measurement is high, and the number of times of measurement is low. And normal level comparison is carried out, keywords and word segmentation retrieval are adopted according to the condition of the patient, a cloud platform knowledge base is called, and intelligent recommendation suggestions are provided.
Wherein the keyword and participle retrieval comprises: retrieving and classifying in a cloud platform knowledge base; judging whether a result exists, if so, directly calling the result; if not, performing word segmentation processing on the original data, further performing splitting processing and matching processing on the original data, screening an optimal result, and if the optimal result is screened out, directly calling the result; and if the optimal result is not screened out, further performing word segmentation, splitting and transformation until the optimal result is screened out, and screening the disease condition retrieval result from the knowledge base.
The intelligent recommendation suggestion includes:
hypertension, hypotension, hyperglycemia, and hypoglycemia, and specific analysis is performed for each case, and medication, dietary attention, and lifestyle are recommended).
Examples are: for hyperglycemic patients:
1. physiological hyperglycemic state: no treatment is generally required.
2. Pathological hyperglycemia:
1) taking the medicine: commonly used oral drugs for controlling blood glucose are metformin, voglibose, acarbose, repaglinide, and the like. Insulin is required for patients with unstable drug control blood sugar.
2) Diet attention: controlling the intake of fat, protein and carbohydrate.
3) Living habits: and (5) performing proper exercise. Walking, fast walking, aerobics, dancing, taijiquan, running, swimming, etc. Build confidence of defeating diseases, keep normal mind, and check blood sugar by self.
In summary, the intelligent blood pressure and blood sugar analysis auxiliary system and method provided by the embodiment of the invention are convenient for the user to use in the form of an inquiry dialogue, and provide recommendation and suggestion of blood pressure and blood sugar for the user according to the current physical situation of the user; the blood pressure and blood sugar knowledge base comprises excellent documents such as professional famous books, famous medical records and the like; the system can process, analyze and recommend the specific conditions of the user in real time, and has stronger practicability; provides the medicine taking suggestion, the diet notice and the life habit information; the method is focused on the field of blood pressure and blood sugar, and makes up the vacancy of the market.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The above description is only a preferred embodiment of the present disclosure and is not intended to limit the present disclosure, and various modifications and changes may be made to the present disclosure by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present disclosure should be included in the protection scope of the present disclosure.
Although the present disclosure has been described with reference to the specific embodiments shown in the drawings, it is not intended to limit the scope of the present disclosure, and it should be understood by those skilled in the art that various modifications and variations can be made without inventive faculty based on the technical solutions disclosed in the present disclosure.
Claims (10)
1. An intelligent blood pressure and blood sugar analysis auxiliary system is characterized by comprising:
the inquiry dialogue module is used for acquiring the information of the patient and recording and storing the evaluation result of the state of illness and the medication suggestion of the patient;
the searching module is used for retrieving the patient information stored in the background cloud database according to the identity card number of the patient;
the calling module is used for calling the illness state information of the patient within a certain time and carrying out early warning prompt according to the patient information;
the display module is used for displaying the illness state information of the patient in a line chart mode;
and the suggestion module is used for searching by adopting key words and word segmentation according to the illness state information of the patient and combining the illness state index control condition and calling the cloud platform knowledge base to provide illness state suggestions.
2. The intelligent blood pressure and blood glucose analysis assistance system according to claim 1, wherein the interrogation dialog module comprises: the device comprises a login unit, an entry unit and a storage unit;
the login unit is used for allowing the user to enter the inquiry dialogue module according to the login request;
the entry unit is used for receiving the identity card number, the blood pressure condition, the blood sugar condition and the treatment information entered by the patient;
and the storage unit is used for storing the blood pressure condition, the blood sugar condition and the treatment information of the patient, and the evaluation result and the medication suggestion of the patient disease symptoms, which are input by the doctor.
3. The intelligent blood pressure and blood glucose analysis assistance system of claim 1, wherein the recommendation module comprises: the system comprises a retrieval unit, a judgment unit, a calling unit, a processing unit and a screening unit;
the retrieval unit is used for extracting keywords according to the condition of the patient and retrieving and classifying the illness state from the cloud platform knowledge base according to the keywords;
the judging unit is used for judging whether an illness state retrieval result exists or not;
the calling unit is used for directly calling the disease condition retrieval result when the judging unit judges that the disease condition retrieval result exists;
the processing unit is used for splitting and matching the keywords when the judging unit judges that no disease condition retrieval result exists;
and the screening unit is used for screening the optimal disease condition retrieval result from the cloud platform knowledge base according to the keywords after the splitting and matching processing.
4. The intelligent blood pressure and blood sugar analysis auxiliary system according to any one of claims 1-3, wherein the patient information includes basic identity information of the patient and a condition symptom condition of the patient.
5. The intelligent blood pressure and blood glucose analysis assistance system according to any one of claims 1-3, wherein the condition information includes blood pressure fluctuation conditions and blood glucose fluctuation conditions.
6. A blood pressure and blood sugar analysis method implemented by the intelligent blood pressure and blood sugar analysis assistance system according to any one of claims 1 to 5, comprising:
inquiring, talking, acquiring patient information, and recording and storing the patient condition evaluation result and the medication suggestion;
retrieving patient information stored in a background cloud database according to the identity card number of the patient;
according to the patient information, the illness state information of the patient within a certain time is called and early warning prompt is carried out;
displaying the illness state information of the patient in a line chart mode;
according to the illness state information of the patient, combining the illness state index control condition, adopting keywords and word segmentation retrieval, and calling a cloud platform knowledge base to provide illness state suggestions.
7. The method of claim 6, wherein the interrogation session comprises:
allowing the user to enter an inquiry dialogue module according to the login request;
receiving the identity card number, the blood pressure condition, the blood sugar condition and the treatment information which are input by the patient;
the blood pressure condition, the blood sugar condition and the treatment information of the patient are stored, and the evaluation result and the medication advice of the patient disease symptoms are input by a doctor.
8. The method of claim 6, wherein providing a condition recommendation comprises:
extracting keywords according to the condition of the patient, and performing disease retrieval and classification from a cloud platform knowledge base according to the keywords;
judging whether a disease condition retrieval result exists or not;
when the judging unit judges that the disease condition retrieval result exists, the disease condition retrieval result is directly called;
when the judging unit judges that no disease condition retrieval result exists, the keyword is split and matched;
and screening an optimal disease condition retrieval result from the cloud platform knowledge base according to the keywords subjected to the splitting and matching processing.
9. The method of claim 8, wherein the condition recommendation comprises:
drug administration advice, dietary cautions and lifestyle information are recommended for hypertension, hypotension, hyperglycemia and hypoglycemia, respectively.
10. The method of any one of claims 6-9, wherein the patient information includes basic identity information of the patient and a condition symptom profile of the patient; the disease condition information comprises blood pressure fluctuation conditions and blood sugar fluctuation conditions.
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| CN115662617A (en) * | 2022-10-24 | 2023-01-31 | 重庆联芯致康生物科技有限公司 | CGM-based result disease condition prediction system and prediction method thereof |
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| CN106845085A (en) * | 2016-12-30 | 2017-06-13 | 武汉飞博科技有限公司 | The online monitoring system and its application method of a kind of diabetes |
| CN107273709A (en) * | 2017-07-31 | 2017-10-20 | 惠州市格农科技有限公司 | Computer based hospital patient data processing method |
| CN108269614A (en) * | 2018-03-01 | 2018-07-10 | 黄河科技学院 | A kind of artificial intelligence assists interrogation system |
| CN108511070A (en) * | 2018-04-18 | 2018-09-07 | 郑州大学第附属医院 | A kind of diabetic assessment and management system |
| CN109102897A (en) * | 2018-07-19 | 2018-12-28 | 贵州省人民医院 | A kind of Database and information retrieval method for disease big data |
| CN111599488A (en) * | 2020-05-19 | 2020-08-28 | 万达信息股份有限公司 | Intelligent inquiry implementing method, system and storage medium |
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2021
- 2021-01-12 CN CN202110038366.8A patent/CN112837806A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105956400A (en) * | 2016-05-06 | 2016-09-21 | 南通大学 | Monitoring and feedback system for self-management compliance of diabetic patient |
| CN106557653A (en) * | 2016-11-15 | 2017-04-05 | 合肥工业大学 | A kind of portable medical intelligent medical guide system and method |
| CN106845085A (en) * | 2016-12-30 | 2017-06-13 | 武汉飞博科技有限公司 | The online monitoring system and its application method of a kind of diabetes |
| CN107273709A (en) * | 2017-07-31 | 2017-10-20 | 惠州市格农科技有限公司 | Computer based hospital patient data processing method |
| CN108269614A (en) * | 2018-03-01 | 2018-07-10 | 黄河科技学院 | A kind of artificial intelligence assists interrogation system |
| CN108511070A (en) * | 2018-04-18 | 2018-09-07 | 郑州大学第附属医院 | A kind of diabetic assessment and management system |
| CN109102897A (en) * | 2018-07-19 | 2018-12-28 | 贵州省人民医院 | A kind of Database and information retrieval method for disease big data |
| CN111599488A (en) * | 2020-05-19 | 2020-08-28 | 万达信息股份有限公司 | Intelligent inquiry implementing method, system and storage medium |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN115662617A (en) * | 2022-10-24 | 2023-01-31 | 重庆联芯致康生物科技有限公司 | CGM-based result disease condition prediction system and prediction method thereof |
| CN115662617B (en) * | 2022-10-24 | 2023-06-27 | 重庆联芯致康生物科技有限公司 | Result illness state prediction system based on CGM and prediction method thereof |
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