CN113168919A - System for performing health analysis by using personalized indexes and using method thereof - Google Patents
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Abstract
The invention discloses a system for health analysis by using personalized indexes and a using method thereof, wherein the system for health analysis by using the personalized indexes comprises the following steps: the device comprises a data storage unit, a first information acquisition unit, a second information acquisition unit and an analysis unit. The method for performing health analysis by using the personalized index comprises the following steps: establishing a user personalized health index model, acquiring a user index to be analyzed, acquiring relevant element actual information of a user, and analyzing and calculating the user index to be analyzed and the relevant element actual information of the user based on the user personalized health index model to obtain an analysis result of the user index to be analyzed. According to the system for health analysis by using the personalized index and the using method thereof, the personalized health index model for the user is established, and whether the index of the user is normal is intelligently analyzed, so that the accuracy of index inspection is improved, and damage caused by misdiagnosis is avoided.
Description
Technical Field
The invention relates to the technical field of intelligent medical information processing, in particular to a system for health analysis by utilizing personalized indexes and a using method thereof.
Background
With the continuous development of science and technology, the living standard of people is higher and higher, and the attention degree on health is also improved. In order to understand the health condition of the user, the doctor/guardian/relevant institution/user himself/herself can obtain various indexes of the user through various methods of examination/inspection/monitoring/experiment/inquiry/observation/calculation/analysis, etc. for finding diseases or evaluating the health condition of the user.
Existing tests, after obtaining their own index, typically compare it to the index's medical standard to determine if the index is within normal values. If not, it is suggested that the health status of the subject may be questioned, or that the index represents the meaning of different health status in different ranges. However, since the index range and the analysis method given by the medical standard are based on medical knowledge and practical experience, and are based on the general standard given by a large-scale population sample, the actual condition of an individual is not fully considered, so that individual deviation may exist, and the range of some standard values is too large, so that the health condition of an analysis object cannot be accurately and sensitively reflected.
Various indexes of the actual human body are related to a plurality of factors, the influence of the factors such as the heredity, the physiological/psychological condition, the external environment and the like of the user on the related indexes is fully considered, the indexes are analyzed according to the individual condition of the user, and the actual health condition of the user can be evaluated more accurately. Therefore, a method for health analysis by using personalized indexes is urgently needed, real medical data are used for subdividing target people/application scenes and relevant parameter standards, personalized information of a user is fully mastered, a personalized health index model for the user is established, and whether the user indexes are normal or not is finely and intelligently analyzed, so that the accuracy of index check is improved, the medical level is improved, and damage caused by misdiagnosis is avoided.
Disclosure of Invention
The main purposes of the invention are: aiming at the situation that the actual condition of an individual is not fully considered in the existing medical index standard, and the personalized difference is not fully considered in the health analysis performed according to the comparison between the user index and the general index standard, so that the misjudgment on the health condition of the user is possibly caused, and the misdiagnosis condition is further caused, the method for performing the health analysis by using the personalized index is provided, the personalized information of the user is fully mastered, the medical data of the individual/group is used for subdividing the relevant index parameter standards of the individual/group under different conditions, a personalized health index model conforming to the user is established, the real clinical significance of the user index is intelligently analyzed, so that the accuracy of index examination and disease diagnosis is improved, the personalized medical service level is improved, and the damage caused by the misdiagnosis is avoided.
In order to achieve the above object, the present invention provides a system for health analysis using personalized indicators, comprising:
the data storage unit is used for storing the user personalized health index model;
the first information acquisition unit is used for acquiring a user index to be analyzed;
a second information acquisition unit for acquiring relevant element actual information of the user;
and the analysis unit is used for analyzing and calculating the user index to be analyzed and the relevant element actual information of the user based on the user personalized health index model to obtain an analysis result of the user index to be analyzed.
The system for health analysis by using the personalized index is characterized in that the user personalized health index model is obtained by analyzing at least one item of information related to the personal historical index of the user, the relationship between the user's own factor and the index, and the relationship between the external factor and the index.
A system for health analysis using personalized metrics as described above, the user metrics comprising: at least one of physical examination related indexes, hematology related indexes, thrombus and hemostasis related indexes, excreta/secretion/body fluid related indexes, kidney function related indexes, liver function related indexes, biochemistry related indexes, immunology related indexes, genetics related indexes, pathogen related indexes, heart function related indexes, lung function related indexes, psychological state related indexes, mental state related indexes, motor ability related indexes, imaging related indexes and acoustic related indexes.
In the system for health analysis using personalized indicators as described above, the user's own factors related to the indicators include: at least one of a population factor, a genetic factor, a physiological factor, a psychological factor, a physical factor, a life state/history, a motion condition, a work condition, a disease condition of the user.
A system for health analysis using personalized metrics as described above, the external factors associated with the metrics including: at least one of environmental, pharmaceutical, medical device, dietary, physical/psychological trauma, surgery, radiation, physical therapy, rehabilitation, operation, examination, psychological intervention.
The system for health analysis by using the personalized index further comprises a relationship between the time factor and the index.
The system for health analysis by using the personalized indexes further comprises a step of collecting user indexes of the user/user group under various conditions, and analyzing and obtaining the influence of the factors of the user/user group on the indexes, the influence of external factors on the indexes and the influence of time factors on the indexes.
A system for health analysis using personalized health indicators as described above, said user personalized health indicator model being a model of a user or a class of users.
The system for health analysis by using the personalized index further comprises a personalized index database, wherein the personalized index database comprises at least one of the relevant rules of the relationship between the factors of the user/user group and the index, the relevant rules of the relationship between the external factors and the index, and the relevant rules of the relationship between the time factors and the index.
The system for health analysis by using the personalized index further comprises a user personal information database, wherein the user personal information database comprises the relevant information of the user and is used for providing or supplementing the relevant information of the user when acquiring the actual information of the relevant elements of the user.
In the system for health analysis using personalized index as described above, the correlation analysis result is applied to: physical examination, diagnosis, treatment regimen selection/recommendation/monitoring/assessment, drug use selection/recommendation/monitoring/assessment, surgical regimen selection/recommendation/monitoring/assessment, health monitoring/assessment, rehabilitation regimen selection/recommendation/monitoring/assessment, physical/mental capability assessment/assessment, potential assessment, training regimen, learning, work, exercise at least one.
The invention also provides a use method of the system for health analysis by using the personalized index, which comprises the following steps:
establishing a user personalized health index model;
acquiring a user index to be analyzed;
acquiring relevant element actual information of a user;
and analyzing and calculating the user index to be analyzed and the relevant element actual information of the user based on the user personalized health index model to obtain an analysis result of the user index to be analyzed.
The invention relates to a system for health analysis by using personalized indexes and a using method thereof, wherein the system for health analysis by using the personalized indexes comprises the following steps: the device comprises a data storage unit, a first information acquisition unit, a second information acquisition unit and an analysis unit. The method for performing health analysis by using the personalized index comprises the following steps: establishing a user personalized health index model, acquiring a user index to be analyzed, acquiring relevant element actual information of a user, and analyzing and calculating the user index to be analyzed and the relevant element actual information of the user based on the user personalized health index model to obtain an analysis result of the user index to be analyzed. According to the system for health analysis by using the personalized indexes and the using method thereof, disclosed by the invention, the target population/application scene and related parameter standards are subdivided by using massive medical data to fully master the personalized information of the user, a personalized health index model for the user is established, and whether the user indexes are normal is refined and intelligently analyzed, so that the accuracy of index check is improved, the medical level is improved, and the damage caused by misdiagnosis is avoided.
Drawings
FIG. 1 is a block diagram of a system for health analysis using personalized metrics in accordance with the present invention.
FIG. 2 is a flow chart of a method for using the system for health analysis using personalized metrics in accordance with the present invention.
Detailed Description
To further explain the technical means and effects of the present invention adopted to achieve the intended purpose, the following detailed description of the embodiments of the present invention is provided in conjunction with the accompanying drawings and examples.
A first embodiment of the present invention is described with reference to fig. 1. FIG. 1 is a block diagram of a system for health analysis using personalized metrics in accordance with the present invention. As shown, a system for health analysis using personalized metrics includes:
the data storage unit 11 is used for storing the user personalized health index model;
a first information obtaining unit 12, configured to obtain a user index to be analyzed;
a second information obtaining unit 13 for obtaining relevant element actual information of the user;
and the analysis unit 14 is configured to perform analysis and calculation on the user index to be analyzed and the relevant element actual information of the user based on the user personalized health index model, so as to obtain an analysis result of the user index to be analyzed.
Firstly, a user personalized health index model is established.
In the present invention, the user index may include: at least one of physical examination related index, hematology related index, thrombus and hemostasis related index, excretion/secretion/body fluid related index, kidney function related index, liver function related index, biochemistry related index, immunology related index, genetics related index, pathogen related index, heart function related index, lung function related index, psychological state related index, mental state related index, exercise ability related index, imaging related index, and acoustics related index, the specific medical indexes include height, weight, body temperature, eyesight, hearing, blood sugar, red blood cells, white blood cells, platelets, uric acid, cholesterol, transaminase, calcium, iron, potassium, triglyceride, heart rate, body fat, lung capacity, imaging, acoustics, intelligence, psychology, motor ability and the like, and the ratio of various indexes can be as follows: height/weight, height/waist, etc., and may also include various health manifestations, sensations, criteria such as: skin color, tongue coating, fundus oculi, body fat, skin color, hair quality, strength, and may also include other indicators related to the user's physical health.
The user personalized health index model is a health index model suitable for a user according to at least one item of comprehensive analysis of the personal historical index related information of the user, the relationship between the user factor and the index and the relationship between the external factor and the index.
The user personalized health index model may include at least one of a value or range of a general index, a range division of a personalized index, a significance of an index in different ranges to analysis of health conditions, an influence of a user's own factors on an index, an influence of an external factor on an index, and a significance of an index in different ranges to analysis of health conditions under a user-specific own factor/external factor condition. In the invention, the analysis application of a single index and the analysis application of a plurality of indexes with different clinical meanings are included.
Generally, related indexes are used in medical treatment, sports, work and the like to analyze and evaluate the health condition and corresponding ability of an analysis object, the indexes represent different meanings in different range intervals, and corresponding results can be obtained by analyzing the range of a single or multiple indexes. Through the personalized health index model, the health condition and the related capability level represented by the related indexes of the user under different conditions can be accurately analyzed.
The relationship between the user's own factors and the index means the influence of various factors of the user's own on the index. The user's own elements that may affect the metrics may include: population factors such as nationality, race, gender, age, etc.; genetic factors such as genetic genes, genetic gene variation/alteration, genetic defects, genetic medical history, family medical history, and the like; physiological factors such as physical performance, nutritional status, hearing, vision, taste, smell, touch, respiration, motor coordination, digestion, absorption, excretion, sexual function, fertility, and the like, and levels of related abilities; psychological factors such as mental illness, mood, feeling, intelligence, attention, memory, perception, communication ability, expression ability, etc.; physical factors such as height, weight, strength, speed, physical development, etc.; life status/history factors such as work information, diet-related, learning information, exercise information, entertainment information, work and rest information, etc.; disease factors such as diagnosis, symptoms, etc., may also include other self-elements that may affect the index.
The relationship between the external factor and the index means the influence of various external factors on the index. External elements that may affect the metrics may include: environmental factors such as temperature, humidity, air pressure, season, longitude, latitude, altitude, air quality, terrain, topography, oxygen content, light, ultraviolet rays, radiation, electromagnetic waves, noise, epidemics, vegetation, etc., and may include factors such as drugs, medical instruments, diet, physical/psychological trauma, surgery, radiation, physiotherapy, rehabilitation, operation, examination, psychological intervention, etc., and other external factors that may affect the index.
Time factors such as year/season/month/rhythm/ten-day/week/day, morning/noon/afternoon/evening/night, after getting up/before sleeping/after exercise/before eating, etc. are related to the index.
In the invention, the indexes of the user under various conditions, the real-time influence, the short-term influence and the long-term influence of the relevant indexes of the user on the whole body, each system, each organ, each ministerial committee, each tissue, each cell, each molecular level, each physiological function and each psychological condition when the relevant indexes of the user are in different range intervals can be collected through methods of observation, inspection, detection and the like, the method is used for analyzing the normal/reasonable/health range of the relevant indexes of the user and the influence of the indexes possibly brought to the health condition in different range intervals, determining the health relevant significance of the indexes in each range interval, and also can be used for analyzing the influence of the self factors of the user on the indexes and/or the influence of external factors on the indexes and the relation between the time factors and the indexes. Combinations may also include: the influence of various factors on relevant indexes of human bodies, which is researched by human body health related knowledge systems such as physiology, pathology, genetics, pharmacology, psychology, environmental science and the like, is used for establishing, speculating and adjusting the relevant relations. The analysis of the influence of the index comprises the following steps: which factors will have an effect on the index, what effect and extent of the effect these factors will have on the index, and the actual health significance of the index in different ranges under different conditions. The influence of the user factors, the external factors and the time factors on the indexes can be described specifically by establishing the relevant rules of the influence of the user factors on the indexes, the relevant rules of the influence of the external factors on the indexes and the relevant rules of the influence of the time factors on the indexes.
After the combination of all dimension elements is obtained, data set is carried out, whether common characteristics exist or not is evaluated, and for the element combination with the common characteristics, various related statistical methods, big data monitoring and other methods are used for establishing a user personalized health index model. In the present invention, the user personalized health indicator model is a model of a user or a class of users. For example: it can be a model of a specific user, or a model of a group of people, such as an aged male model with weight of 60-70 kg, a Hui-nationality female athlete model aged 16-18 years, etc., or a family model, a class model, a troop model, etc. The model may be a static model, such as: the self index, performance, characteristic, etc. may also be dynamic models, such as: index change after being affected/stimulated, after taking medicine, after eating meal, before sleeping, etc.
In order to improve the efficiency of establishing the user personalized health index model, the existing data can be classified based on different user groups to establish a user-like model, then the model is refined slowly, the user group classification is refined more and more, and finally the user personalized health index model aiming at each individual user is established. The classification can be established based on professional/authoritative research results, documents, data and experiences, can also be established based on information reformation/information analysis/big data analysis, can also be established through artificial intelligence deep learning, can also be established after data mining analysis, and various models can also be continuously adjusted and improved in the using process.
In the invention, the relevant rules of the influence of the user factors on the indexes, the external factors and the time factors are stored by establishing the personalized index database.
The relevant rules of the influence of the user's own factors on the index may include at least one of relevant rules of crowd factors, relevant rules of genetic factors, relevant rules of physiological factors, relevant rules of psychological factors, relevant rules of physical factors, relevant rules of life state/life history, and relevant rules of disease conditions.
Relevant rules for crowd factors and their elements may include: the possible influences of nationality, race, sex, age, etc. on various indexes may also include: the degree of influence of the factors affecting the index on the index, the ranking, the effectiveness, the user/physician/expert's evaluation, etc.
The relevant rules for genetic factors and their elements may include: the influence of the genetic gene, genetic variation/alteration, genetic defect, genetic medical history, family medical history, etc. on various indicators may also include: the degree of influence of the factors affecting the index on the index, the ranking, the effectiveness, the user/physician/expert's evaluation, etc.
The relevant rules and their elements of physiological factors may include: the effects that the levels of physical, nutritional, hearing, vision, taste, smell, touch, respiration, motor coordination, digestion, absorption, excretion, sexual function, fertility, and other conditions and related abilities may have on various indicators may also include: the degree of influence of the factors affecting the index on the index, the ranking, the effectiveness, the user/physician/expert's evaluation, etc.
The relevant rules of psychological factors and their elements may include: the influence of psychological diseases, emotion, feeling, intelligence, attention, memory, perception, communication ability, expression ability and the like on various indexes can also comprise: the degree of influence of the factors affecting the index on the index, the ranking, the effectiveness, the user/physician/expert's evaluation, etc.
Relevant rules for physical factors and their elements may include: the possible influences of height, weight, strength, speed, physical development and the like on various indexes can also comprise: the degree of influence of the factors affecting the index on the index, the ranking, the effectiveness, the user/physician/expert's evaluation, etc.
Relevant rules for life status/life history and their elements may include: the possible influences on various indexes by work information, diet information, learning information, exercise information, entertainment information, work and rest information, etc. may further include: the degree of influence of the factors affecting the index on the index, the ranking, the effectiveness, the user/physician/expert's evaluation, etc.
The relevant rules and elements of the motion situation may include: the influence of the sports item, the sports time, the sports intensity, the sports frequency, the sports intensity and the like on various indexes can be generated.
The relevant rules and elements of the work and rest conditions may include: the factors of the time of getting up, the time of sleeping, the habit of work and rest, the quality of sleeping and the like may have influence on various indexes.
Relevant rules and their elements of the learning scenario may include: the learning intensity, the learning difficulty, the learning time, the learning mode and other factors may influence various indexes.
The relevant rules and their elements of the working situation may include: the influence of factors such as the working type, the working intensity, the working time and the like on various indexes is possible.
Relevant rules for a disease condition and its elements may include: the influence of symptoms, diagnosis, index, feeling, medical history, medication history, allergy history, surgical history and the like on various indexes can also comprise: the degree of influence of the factors affecting the index on the index, the ranking, the effectiveness, the user/physician/expert's evaluation, etc.
The relevant rules of the influence of the external factors on the indexes include: at least one of environmental, pharmaceutical, medical device, dietary, physical/psychological trauma, surgery, radiation, physical therapy, rehabilitation, operation, examination, psychological intervention.
The relevant rules for environmental factors and their elements may include: the influence of temperature, humidity, air pressure, season, longitude, latitude, altitude, air quality, terrain, landform, oxygen content, illumination, ultraviolet rays, radiation, electromagnetic waves, noise, epidemic diseases, plants and the like on various indexes can also comprise: the degree of influence of the factors affecting the index on the index, the ranking, the effectiveness, the user/physician/expert's evaluation, etc.
Relevant rules for pharmaceutical factors and their elements may include: the influence of the type, component, dosage form, administration route, administration time, administration frequency, administration dosage and the like of the used drug on various indexes may also include: the degree of influence of the factors affecting the index on the index, the ranking, the effectiveness, the user/physician/expert's evaluation, etc.
The relevant rules and elements of the relation between the time factor and the index can include: the influence that may be exerted on various indicators such as year/season/month/rhythm/ten-day/week/day, morning/noon/afternoon/evening/night, after getting up/before sleeping/after exercise/before eating meal, may further include: the degree of influence of the factors affecting the index on the index, the ranking, the effectiveness, the user/physician/expert's evaluation, etc.
In the present invention, the time information includes attributes of time elements related to the natural rhythm such as: year, month, day/night, morning/noon/afternoon/evening/night, season, solar terms, lunar calendar year/month/day, etc.; the time element attributes associated with the time of day are: hours, minutes, hours, etc.; the time element attributes related to the personal work and rest life law are as follows: getting up, before/during/after meal, before sleep; time element attributes associated with a particular condition/symptom/index/psychological state/physiological state/sensation are as follows: body temperature above a certain value, pain, fatigue, vertigo, palpitation, nausea, creatinine clearance above a certain value, blood pressure below a certain value, heart rate above a certain value, emotional depression, feelings of fear, excitement, etc.; time element attributes associated with the treatment method are as follows: one day before a certain examination, 3 hours after a certain operation, when changing a certain medicine, after a certain physical therapy project, etc.; temporal element attributes associated with the age/developmental stage of a patient are as follows: 2 weeks after birth, after eruption of deciduous teeth, after adolescent development, half a year after menopause, climacteric period, etc.; time element attributes associated with a patient's physiological cycle are as follows: first day of menstruation, etc.; time element attributes associated with patient fertility/sexual life are such as: 24 hours after the sexual intercourse of the couple, 3 months before the preparation of pregnancy, 24 weeks of pregnancy, 3 days after the birth, and the like; time element attributes related to patient work/activity/movement/learning are as follows: before sitting on the front of a car, before sitting on a boat, before high-altitude operation, after long-time reading and the like.
In the invention, the relevant rules of the influence of the user's own factors on the index, the relevant rules of the influence of the external factors on the index and the relevant rules of the influence of the time factors on the index can also comprise the condition that each element needs to be combined to take effect, the relevant rules can be defined by comprehensive conditions after the combination of multiple elements according to multi-level and/or non-relation and relation defined by a relevant formula, and the relevant rules can also comprise the condition that the relevant rules are relevant to time dimension.
In the present invention, the relevant rules of the influence of the user's own factors, external factors and time factors on the index can be obtained by collecting and analyzing the relevant data of the index under various conditions by observing, checking and detecting methods, and can also be obtained by calculating and analyzing the relevant data of the user/user group based on various medical manuals, guidelines, clinical treatment routes, prescription sets, pharmacopoeias, expert consensus, conference concepts and consensus in the integrated body/hospital/department, industry norms, textbooks, treatises, writings, inventions, scientific inferences, experimental reports, test reports, data analysis reports, test reports, examination and approval documents, relevant regulations, relevant guidance opinions, relevant policies, relevant systems, relevant catalogues, relevant literature data, relevant doctor/nurse/pharmacist/care staff/patient/salesman evaluation/report, Other literature data, other research results with professionalism/authority, a evidence-based medical method, or probability speculation based on existing data, establishment of sources such as various weights, various levels, various orders and the like which need to be set manually, establishment based on information reforming, information analysis and big data analysis, establishment based on artificial intelligence deep learning, acquisition based on data mining analysis, rules and indexes which are set manually after data statistical analysis/artificial intelligence deep learning, or establishment based on a combination of the methods can be used, so that the method is instructive in the actual use process. The database can be updated according to versions or can be updated in real time according to actual data. The personalized index database can be a relational database or a non-relational database; can be a table database or a graph database; the related data may be structured data or unstructured data. The data form of the personalized (health) index database may be text, chart, audio, video or other suitable form.
Then, the user index to be analyzed is obtained.
In the present invention, the user index may include: physical examination related indexes, hematology related indexes, thrombus and hemostasis related indexes, excreta/secretion/body fluid related indexes, kidney function related indexes, liver function related indexes, biochemistry related indexes, immunology related indexes, genetics related indexes, pathogen related indexes, heart function related indexes, lung function related indexes, psychological state related indexes, mental state related indexes, motor ability related indexes, imaging related indexes and acoustic related indexes. The health-care product specifically comprises medical indexes such as height, weight, body temperature, eyesight, hearing, blood sugar, red blood cells, white blood cells, platelets, uric acid, cholesterol, transaminase, calcium, iron, potassium, triglyceride, heart rate, body fat, lung capacity, imaging, acoustics, intelligence, psychology and motor ability, and can also comprise the following indexes in percentage by weight: height/weight, height/waist, etc., and may also include various health manifestations, sensations, criteria such as: skin color, tongue coating, fundus oculi, body fat, skin color, hair quality, strength, and may also include other indicators related to the user's physical health.
The sources for obtaining the user index may be: the medical advice, medical history/electronic medical history, diagnosis report, examination/inspection result, monitoring result, nutrition assessment report of the user; the target of the states of the user such as learning, working, living, sports and the like is self-describing or preset; patient-related status, physiological function; preset time, season, time of day, interval, period and other information; and the preset ways of monitoring the change of various physiological indexes and the like.
Then, the actual information of the relevant elements of the user is obtained.
The acquiring of the actual information of the relevant elements of the user refers to the actual information of the user of each relevant element which may affect the index and is acquired according to the relevant rule of the influence of the actual condition (the factor) of the user on the index and the relevant rule of the influence of the external condition (the external factor) on the index, and may include: basic information, genetic related information, family health related information such as family medical history, allergy history, regional epidemic medical history, medication history, surgical plan use history, learning conditions, work conditions, exercise conditions, family conditions, living environment, hobbies, compliance conditions, tolerance conditions, medical insurance conditions, and information such as physiology/psychology/learning/work/physical/sleep/exercise/emotion/metabolism/vision/hearing/intelligence/attention/diet/immunity/growth development/memory/fertility conditions and work and rest time of a user. It may also include information on temperature, humidity, air pressure, season, longitude, latitude, altitude, air quality, terrain, topography, oxygen content, light, ultraviolet rays, radiation, electromagnetic waves, noise, epidemic, vegetation, etc., and time information on the user and the index, etc.
In the present invention, the source for acquiring the actual information of the relevant elements of the user can be a personal information database, a health file, a family or family member health record, a medical order, a medical record, a medical calendar, a prescription, an electronic medical record, a medical institution information system, a pharmacy/medical instrument store information system, a medical record, a treatment record, an assessment report, a consultation record, a survey record, a work record/plan, a diet record/plan, a shopping record/plan, a medication record/plan, a treatment record/plan, an exercise record/plan, a work record/plan, a learning record/plan, a rehabilitation record/plan, a health record/plan, a test/examination order, a surgery record/record, a health management plan, a charge order, a clinical treatment path, an examination/examination result, a test result, a medical instrument store information system, a medical record/plan, a treatment record/plan, a medical instrument store information system, a medical instrument store, a medical instrument, a, The operation setting/record and the gene detection result can be obtained from the use/prescription/recommendation record of the user/doctor/nurse, can be provided by various wearable devices, sensors, electronic devices, an electronic positioning system, a weather forecast system, an electronic temperature/humidity/air pressure detection device, an intelligent sound box, an intelligent home system, an intelligent monitoring/monitoring system, intelligent glasses, an intelligent closestool, an intelligent ground, an intelligent scale, an intelligent detection/analysis device, an electronic infusion system, an operation robot, face recognition analysis, fingerprint recognition, voice recognition, gait recognition, a positioning system, a social platform and other devices or systems, and can also be obtained by the big data analysis of the information of the life, study, work, exercise, trip, social interaction, shopping, diet, work, entertainment and the like of the user, and the information can also be analyzed by the user's race/family/region/age/marital/birth and the like. The missing information can be provided or refined by the user, or the highly relevant information can be actively prompted to the user/physician to observe, monitor, check, query, analyze, confirm, record whether the relevant condition appears or obtain the relevant index/performance/feeling/symptom/physiological change. Assessment reports include physiological, psychological, economic, credit, athletic ability, and the like. The intelligent detection/analysis device includes: odor, image, sound, pulse condition, X-ray film, CT, nuclear magnetism, ultrasonic examination, brain wave, mass spectrum analyzer, tongue analysis, fundus examination, gastroscope, enteroscope, catheter, minimally invasive scope, heart rate, blood oxygen, blood pressure, blood sugar, blood fat, body temperature, blood examination, urine examination, stool examination, pulse measurement/analysis equipment, weight/body fat scale, and the like.
And then, analyzing and calculating the user index to be analyzed and the relevant element actual information of the user based on the user personalized health index model to obtain an analysis result of the user index to be analyzed.
The user index to be analyzed and the relevant element actual information of the user are analyzed and calculated according to the user personalized health index model, the common value or range of the index and the significance of the index to the health condition in different ranges are firstly determined, and then the influence of the user factor, the external factor and the time factor on the index and the significance of the value or range of the index to the health condition in different conditions are determined. And analyzing to obtain the health related significance of the index/index combination according to the user related element information and the value of the index/index combination by combining with the personalized health index model. Such as: according to the actual situation of the user, if the relevant index/index combination of the user meets the normal value or is within the normal range of the index under the conditions of the actual self factor of the user, the external factor, the time factor and the like, the analysis result of the user index to be analyzed is considered to be normal, if not, the analysis result of the user index to be analyzed is abnormal, and corresponding other analysis results are given according to the index range and the health significance under different conditions.
The system for health analysis by using the personalized index can intelligently analyze whether the index of the user is normal or not or analyze the relevant state and capacity of the user, thereby improving the accuracy of index check, improving the medical level, and avoiding misdiagnosis caused by no personalized index standard, damage to the user caused by misdiagnosis or misjudgment on the state of the user.
The system for health analysis by using the personalized index can be used for suggestion, management, detection and evaluation of physical examination, diagnosis, treatment, rehabilitation, training, learning, work, sports, diet/nutrition, work and rest, medication, medical instruments, operation, physical therapy and fertility. The analysis result of the user index obtained by the method for health analysis by utilizing the personalized index can be used for reminding, warning, limiting, prohibiting, assisting and guiding the diagnosis of the user/doctor/expert. It can also be used for the data base of user/physician/expert and recommendation/management/guidance/consultation position or secondary recommendation/management/guidance/consultation center discussion and the data base of advanced position reply/automatic reply. And the evaluation result can also be used as the basis for professional level evaluation/professional normative evaluation/performance assessment of personnel such as doctors, experts and the like afterwards. For example: the personalized index is used for treatment, so that the problems that personalized deviation possibly exists in an index range and certain standard values are too large in range and not accurate enough can be solved, a treatment method suitable for a user is accurately analyzed, and a treatment effect is improved by adopting a suitable medicine and a medical instrument.
The system for health analysis by using the personalized indexes further comprises a method for giving the analysis result of the health condition related to the user according to the analysis result of the user indexes and the actual condition of the user, reminding the user/a doctor of various conditions and risks possibly caused by the user indexes and detecting/finding the conditions and the risks, and a related coping method.
The various data acquired by the system for health analysis using the personalized index of the present invention may be all data, or data of some conditions may be set as required, for example: data for a certain time period, data of the user at a certain hospital/department/doctor, etc.
In the invention, the system for health analysis by using the personalized index further comprises a multi-dimensional element attribute dictionary using the user index, which is used for processing the matching/comparison of data from different sources, different data structures, different descriptions, different data standards, such as the user index to be analyzed, the related element actual information of the user, and the like, and the related information and rules in the personalized (health) index database, and comprises a fuzzy matching algorithm. The user index multi-dimensional element attribute dictionary comprises at least one of a standard dictionary, a synonym corresponding dictionary and a fuzzy matching dictionary of each element attribute related to the user index, and comprises data such as synonyms, structures, combinations and mutual corresponding relations of each dimension element attribute related to each item. The comparison between the acquired information and the relevant information and rules in the personalized (healthy) index database may be performed by using the acquired original information and the dictionary corresponding to the different names of each item in the user index multidimensional attribute dictionary in the personalized (healthy) index database, or by converting the acquired original information into the corresponding standard dictionaries and then comparing the converted original information with the personalized (healthy) index database, or by performing fuzzy matching comparison between the acquired original information and the dictionaries in the personalized (healthy) index database, or by combining the above methods. The user index multi-dimensional element attribute dictionary can be established independently or can be included in a personalized (health) index database.
In the invention, besides adopting the user index multi-dimensional element attribute dictionary for matching, the matching/comparison between the acquired information and the related information and rules in the personalized (health) index database can be processed by methods such as a voice recognition technology, a semantic recognition technology, translation of different languages, an OCR recognition technology, a virtual reality technology, an augmented reality technology, a gesture recognition technology and the like.
In the invention, the system for health analysis by using the personalized index may further include a user personal information database for providing or supplementing the relevant information of the user when acquiring the relevant element actual information of the user. The user personal information database comprises the relevant information of the user, and the content comprises: user basic information, genetic related information, family health related information such as family medical history, allergy history, regional epidemic medical history, medication history, surgical history, learning status, work status, exercise status, family status, living environment, hobbies, compliance status, tolerance status, medical insurance status, and information such as physiology/psychology/learning/work/physical/sleep/exercise/mood/metabolism/vision/intelligence/attention/diet/immunity/growth/memory/fertility status and work and rest time.
The data acquisition method of the user personal information database comprises the steps of acquiring or analyzing the data acquired or accessed from other information systems, equipment or databases, or manually inputting the data, or acquiring and analyzing new data continuously in the using process of the related information of the databases, or combining the methods.
In the invention, various analysis results, evaluation, reports and other output information of the system for health analysis by using the personalized indexes can be manually completed by professionals according to the personalized (health) index database and various data, or manually completed under the support of the system, or automatically completed by artificial intelligence, or completed by combining a system/artificial intelligence completion part with a manual completion part. The form of the application/output of the related analysis result can be realized by functions of reminding, informing, reporting, system authority limit, system flow limit, control of related systems/equipment/files/authorities and the like; or providing related interfaces to be realized by being in butt joint with other management systems; or an application that provides results, with the relevant results being manually implemented by the user.
In the invention, the identity recognition, confirmation, login and electronic signature of the user, the expert and the related role of the system for health analysis by utilizing the personalized index, and the storage, transmission and application of the personal information, the medical advice information and various analysis results can be encrypted by various methods to prevent the related identity/permission from being stolen or information from being leaked. Wherein the encryption algorithm comprises a symmetric encryption algorithm and/or an asymmetric encryption algorithm, such as: the large integer decomposition problem encryption algorithm, the discrete logarithm problem encryption algorithm, the elliptic curve encryption algorithm, specifically, the block chain technique, etc., the encryption hardware may adopt a secret key, a dongle, an encrypted hard disk, etc., and may be encrypted in combination with user equipment hardware, a network address, etc., or may be encrypted in combination with each other.
In the invention, the data transmission mode of the system for health analysis by using the personalized index can be a data line mode, a wired network mode, a wireless transmission mode, a radio frequency identification mode, a magnetic card read-write mode, a mobile hard disk mode, an NFC mode, a bar code mode, a two-dimensional code mode and the like. The wireless transmission mode comprises: infrared, bluetooth, wifi, microwave, visible light wave, telecommunication wireless network, ultrasonic/sound wave, radio, etc.
In the invention, the system for health analysis by using the personalized index can be used by a single machine, or accessed external hardware such as a mobile hard disk, a box, a card and the like can be used by a user, or the system can be installed on a local server to support the local user, or can be installed on a private cloud server to support the private cloud user, or can be installed on the Internet to provide service for Internet users.
Fig. 2 is a flowchart illustrating a method for using a system for health analysis using personalized index according to a second embodiment of the present invention. As shown in the drawings, the method for using the system for health analysis using personalized index of the present invention includes:
establishing a user personalized health index model;
acquiring a user index to be analyzed;
acquiring relevant element actual information of a user;
and analyzing and calculating the user index to be analyzed and the relevant element actual information of the user based on the user personalized health index model to obtain an analysis result of the user index to be analyzed.
The application method of the system for health analysis by using personalized indicators of the present invention corresponds to the technical features of the system for health analysis by using personalized indicators of the present invention, and reference may be made to the description of the system for health analysis by using personalized indicators, which is not repeated herein.
In summary, the system for health analysis using personalized indicators and the method for using the same of the present invention includes: the device comprises a data storage unit, a first information acquisition unit, a second information acquisition unit and an analysis unit. The method for performing health analysis by using the personalized index comprises the following steps: establishing a user personalized health index model, acquiring a user index to be analyzed, acquiring relevant element actual information of a user, and analyzing and calculating the user index to be analyzed and the relevant element actual information of the user based on the user personalized health index model to obtain an analysis result of the user index to be analyzed. According to the system for health analysis by using the personalized indexes and the using method thereof, disclosed by the invention, the target population/application scene and related parameter standards are subdivided by using massive medical data to fully master the personalized information of the user, a personalized health index model for the user is established, and whether the user indexes are normal is refined and intelligently analyzed, so that the accuracy of index check is improved, the medical level is improved, and the damage caused by misdiagnosis is avoided.
The above-mentioned embodiments are intended to illustrate the objects, technical solutions and advantages of the present invention in further detail, and it should be understood that the above-mentioned embodiments are merely exemplary embodiments of the present invention, and are not intended to limit the scope of the present invention, and any modifications, equivalent substitutions, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.
Claims (12)
1. A system for health analysis using personalized metrics, comprising:
the data storage unit is used for storing the user personalized health index model;
the first information acquisition unit is used for acquiring a user index to be analyzed;
a second information acquisition unit for acquiring relevant element actual information of the user;
and the analysis unit is used for analyzing and calculating the user index to be analyzed and the relevant element actual information of the user based on the user personalized health index model to obtain an analysis result of the user index to be analyzed.
2. The system for health analysis using personalized metrics as set forth in claim 1, wherein: the user personalized health index model is obtained by analyzing at least one item of information related to personal historical indexes of the user, the relation between the user factors and the indexes and the relation between external factors and the indexes.
3. The system for health analysis using personalized metrics as set forth in claim 1, wherein: the user metrics include: at least one of physical examination related indexes, hematology related indexes, thrombus and hemostasis related indexes, excreta/secretion/body fluid related indexes, kidney function related indexes, liver function related indexes, biochemistry related indexes, immunology related indexes, genetics related indexes, pathogen related indexes, heart function related indexes, lung function related indexes, psychological state related indexes, mental state related indexes, motor ability related indexes, imaging related indexes and acoustic related indexes.
4. The system for health analysis using personalized metrics as set forth in claim 2, wherein: the user's own factors related to the metrics include: at least one of a population factor, a genetic factor, a physiological factor, a psychological factor, a physical factor, a life state/history, a motion condition, a work condition, a disease condition of the user.
5. The system for health analysis using personalized metrics as set forth in claim 2, wherein: external factors related to the index include: at least one of environmental, pharmaceutical, medical device, dietary, physical/psychological trauma, surgery, radiation, physical therapy, rehabilitation, operation, examination, psychological intervention.
6. The system for health analysis using personalized metrics as set forth in claim 1, wherein: the personalized health index model also comprises a relation between a time factor and an index.
7. The system for health analysis using personalized metrics as set forth in claim 1, wherein: the system also comprises a user index collecting device for collecting user indexes of the user/user group under various conditions and analyzing and obtaining the influence of the factors of the user/user group on the indexes, the influence of external factors on the indexes and the influence of time factors on the indexes.
8. The system for health analysis using personalized metrics as set forth in claim 1, wherein: the user personalized health indicator model is a model of a user or class of users.
9. The system for health analysis using personalized metrics as set forth in claim 1, wherein: the system also comprises an individualized index database, wherein the individualized index database comprises at least one of relevant rules of the relation between the factors of the user/user group and the indexes, relevant rules of the relation between external factors and the indexes, and relevant rules of the relation between time factors and the indexes.
10. The system for health analysis using personalized metrics as set forth in claim 1, wherein: the system also comprises a user personal information database, wherein the user personal information database comprises the relevant information of the user and is used for providing or supplementing the relevant information of the user when acquiring the actual information of the relevant elements of the user.
11. The system for health analysis using personalized metrics as set forth in claim 1, wherein: the correlation analysis results are applied to: physical examination, diagnosis, treatment regimen selection/recommendation/monitoring/assessment, drug use selection/recommendation/monitoring/assessment, surgical regimen selection/recommendation/monitoring/assessment, health monitoring/assessment, rehabilitation regimen selection/recommendation/monitoring/assessment, physical/mental capability assessment/assessment, potential assessment, training regimen, learning, work, exercise at least one.
12. Use of a system for health analysis using personalized metrics according to any of claims 1-11, characterised in that the method comprises:
establishing a user personalized health index model;
acquiring a user index to be analyzed;
acquiring relevant element actual information of a user;
and analyzing and calculating the user index to be analyzed and the relevant element actual information of the user based on the user personalized health index model to obtain an analysis result of the user index to be analyzed.
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| CN115171840A (en) * | 2022-06-22 | 2022-10-11 | 哈尔滨海吉雅科技有限公司 | Personalized experience package generation system and generation method |
| CN115870989A (en) * | 2022-12-30 | 2023-03-31 | 重庆电子工程职业学院 | Evaluation system based on flexible joint of PVDF gel base robot |
| WO2024199198A1 (en) * | 2023-03-25 | 2024-10-03 | 曹庆恒 | Virtual health system and use method therefor |
| CN116525123A (en) * | 2023-06-29 | 2023-08-01 | 安徽省儿童医院(安徽省新华医院、安徽省儿科医学研究所、复旦大学附属儿科医院安徽医院) | Medical examination ground element feedback system and method based on analysis model |
| CN116525123B (en) * | 2023-06-29 | 2023-09-08 | 安徽省儿童医院(安徽省新华医院、安徽省儿科医学研究所、复旦大学附属儿科医院安徽医院) | Medical examination ground element feedback system and method based on analysis model |
| CN116784804A (en) * | 2023-07-19 | 2023-09-22 | 湖南云医链生物科技有限公司 | No-disease analysis and evaluation system |
| CN117038100A (en) * | 2023-10-09 | 2023-11-10 | 深圳市乗名科技有限公司 | Health management system based on IOT technology |
| CN117038100B (en) * | 2023-10-09 | 2024-03-15 | 深圳市乗名科技有限公司 | Health management system based on IOT technology |
| CN118116590A (en) * | 2024-02-23 | 2024-05-31 | 昆明医科大学第一附属医院(云南省皮肤病医院) | Thalassemia gene abnormal crowd classification and health management system |
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| WO2022183460A1 (en) | 2022-09-09 |
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