51 results about "Critical illness" patented technology

The invention discloses a rehabilitation assisting device for neurological critical patients, and particularly relates to the field of rehabilitation assisting devices.The rehabilitation assisting device comprises a supporting base, a rehabilitation seat and a rotating shaft, the rehabilitation seat is fixedly connected to the top of the supporting base, the rotating shaft is rotatably connected to the interior of the supporting base, and a semicircular gear is fixedly connected to the outer wall of the rotating shaft; a movable gear ring is meshed with the outer wall of the semicircular gear, a movable strip is fixedly connected to the outer wall of the movable gear ring, a rotating plate is hinged to one side of the movable strip, a special-shaped gear is fixedly connected to one side of the rotating plate, a supporting shaft is hinged to the inner wall of the special-shaped gear, and a movable rack is meshed with one side of the special-shaped gear. By arranging a semicircular gear and a movable gear ring, when a patient does rehabilitation exercise, a rotating shaft can drive the semicircular gear to be meshed with the movable gear ring, finally, a massage ball massages the legs of the patient, and the problem that the rehabilitation efficiency is low due to the fact that the patient cannot massage while doing exercise is solved.

The invention relates to an intelligent monitoring and risk early warning system for cardiovascular acute and critical diseases, which is characterized in that electrocardiosignals are acquired in real time through a wearable twelve-lead ECG monitor (ADS1298 chip, 512Hz sampling), and the electrocardiosignals are encrypted and transmitted to a cloud end through an MQTT protocol in combination with edge end wavelet denoising and QRS wave detection. And the cloud end adopts a multi-modal fusion engine, integrates a random forest-XGBoost hybrid model, performs modeling based on a postoperative patient physiological index time sequence, predicts the risk through Kalman filtering and triggers secondary early warning. Clinical tests in a third-A hospital prove that the end-to-end response time is 2.8 seconds, the D2B time is shortened to 70 minutes, and the occurrence rate of main adverse cardiovascular events in 30 days after operation is reduced by 47%. According to the invention, the limitation of traditional single-mode monitoring is broken through, a whole-process closed loop of collection-analysis-intervention is constructed, and an intelligent solution is provided for prevention and control of cardiovascular acute and critical diseases.

The utility model discloses an emergency device for air leakage of an air bag of an artificial airway. The emergency device comprises an air guide tube, a first tee joint, a second tee joint, a pressure detector and a pressure relief piece, wherein the air guide tube is used for being connected with the air bag outside the artificial airway; the first tee joint and the second tee joint are arranged on the air guide tube; according to the emergency device, air can be continuously supplied to the air bag, the pressure of the air bag is 25-30 cm H2O, and part of patients who are seriously ill and are not suitable for immediately replacing the artificial airway can be temporarily prevented from being replaced; meanwhile, part of patients can safely pass through the time period from air leakage of the air bag to replacement of the artificial airway. The device is easy to understand in principle, simple to operate and reliable in clinical application, treatment risks are not increased, and other complications caused when artificial airways of some patients are replaced can be avoided; according to the utility model, all consumables are disposable sterile consumables which are commonly used in hospitals, so that the consumption is small and the price is low; the comprehensive groove oxygen source is used for continuously supplying oxygen and supplementing air, manual air inflation is not needed, and the workload of medical staff can be reduced.

The application relates to the technical field of medical equipment, in particular to a training device for respiration and critical illness medicine, which comprises a saliva treatment module; an entertainment module for entertainment during children's respiration training is spirally connected to one side of the saliva treatment module; one end of a first hose is communicated with an airflow detection module for exhaust quality detection during children's respiration training; the other end of the airflow detection module is communicated with a second hose; the other end of the second hose is communicated with a sterilization module for gas sterilization; when respiration training is carried out on children patients, rotating the rotating ring on the outside can switch the second magnetic ring at different positions to cooperate with the rotating ring; different entertainment tools can be arranged above through the arrangement of a first hollow sleeve, a second hollow sleeve and a third hollow sleeve; the children blow the saliva treatment module, at this time, the entertainment toys above the entertainment module are started, which helps to attract the children to carry out multiple respiration training, helps to effectively exercise the lungs and is beneficial to subsequent rehabilitation work.

This invention discloses an intelligent processing method and system for cross-disease critical illness monitoring data, relating to the field of cross-disease data processing. By constructing a disease-sensing data matrix from multi-source monitoring data under disease label constraints, and further introducing trend decomposition and false probability modeling mechanisms, the original anomaly identification process based solely on numerical threshold judgment is transformed into a joint discrimination process of trend, fluctuation, and semantics. This enables the probabilistic expression and classification of deviations when short-term fluctuations and long-term trends of indicators deviate, achieving reconstruction of the identification path for complex states such as apparent improvement but trend deterioration or apparent deterioration but trend recovery. Specifically, by layered decomposition to separate the true trend from the disturbance signal, and then using deviation modeling to elevate anomalies from whether they are abnormal to anomaly credibility, the invention directly addresses the structural correction of the difficulty in identifying false improvement and false deterioration in cross-disease data.

The application discloses a kind of early warning screening systems of critical patient based on CI-TOFMS detection exhaled air VOCs, belong to early screening field.It includes sample processing system, CI-TOFMS, data processing module;The sample processing system is used to collect and pre-process exhaled air sample, the CI-TOFMS is used to detect exhaled air sample and obtain eVOCs spectrum, the data processing module is used to collect eVOCs spectrum data, and output early warning result;The data processing module includes data input module, eVOCs-based critical illness prediction model and result output module.The system of the application only needs to collect respiratory air to carry out the health status evaluation of test person, and it is very convenient.The eVOCs-based critical illness prediction model constructed further improves the accuracy and sensitivity of eVOCs detection technology in critical patient diagnosis, and provides more reliable diagnostic basis for clinicians.

The invention discloses a diagnosis and treatment data security sharing and collaborative reasoning system for a severe medical conjunct, and constructs a unified platform which integrates a standardized data interoperation layer, a security federated access control framework and an intelligent core engine for medical conjunct scene perception. Scattered medical institutions in the medical union are connected into a collaborative, efficient and intelligent severe illness treatment network, safe and real-time sharing of cross-institution data is achieved, intelligent agents are enabled to conduct collaborative reasoning, and therefore high-quality medical resources are sunk to each member unit in the medical union in an AI service mode, and the medical resources are saved. Knowledge and experience of top-level critical experts are converted into services which can be called anytime and anywhere, the problem that expert resources of primary hospitals are insufficient is effectively solved, and homogenization of the in-vivo critical diagnosis and treatment level of the medical combination is promoted.

The presently disclosed subject matter provides devices and systems for therapeutic foot dorsiflexion. Profound immobility, particularly during critical illness, leads to the onset of numerous physical issues. Many occur in the foot / ankle axis resulting in reduced ankle range of motion, ankle contractures, foot drop, and a loss of the ability to stand or ambulate. The disclosed subject matter provides an automated system capable of delivering therapeutic dorsiflexion by automatically adapting the degree of foot dorsiflexion to accommodate the patient's ankle range of motion.

The invention discloses an acute and critical symptom data mobile management system. The system comprises a data acquisition module, a data transmission module, a data storage module and a data query module, the invention also discloses an acute and critical symptom data mobile management device. The device comprises the cloud platform and hospital terminal equipment. According to the system, the data acquisition module is added, unique identification information and related medical record data of each acute and critical patient are acquired through hospital terminal equipment, and then the acquired data are uploaded to a cloud platform of the data storage module through the data transmission module; the data storage module is used for storing the acquired unique identification information and related medical record data of the acute and critical patients based on the block chain; then, a data query module is added, the data query module allows different hospital terminal devices to pass patient identity recognition, and the historical medical record data, stored based on the block chain, of the patient can be queried without carrying medical records by the patient.

The invention belongs to the technical field of biological detection, and particularly relates to application of annexin A3 (ANXA3) in detection of critical illness death early warning and sepsis diagnosis. It is found that the ANXA3 protein amount in plasma of a critically ill patient is remarkably higher than that in a healthy voluntary person, the ANXA3 protein amount in plasma of a critically ill sepsis patient is remarkably higher than that in plasma of a critically ill non-sepsis patient, and the ANXA3 protein amount in the plasma is further remarkably related to the death risk of the critically ill patient. By detecting the blood plasma ANXA3 protein amount, sepsis occurrence and death risks of critically ill patients can be evaluated, individualized treatment can be started as soon as possible, and the kit has important clinical application value for prognosis of critically ill patients.

The utility model relates to the technical field of oxygen uptake tubes, and provides a special oxygen uptake tube for severe illness, which comprises an oxygen connecting tube, a top joint and a top connecting block, both the top joint and the top connecting block are arranged on the oxygen connecting tube, the oxygen connecting tube comprises a top block, an oxygen tube, a first connecting block and a second connecting block, the top joint comprises a hard connecting block and a soft connecting block, flexible connecting blocks are fixedly connected to the two sides of the top connecting block, the first connecting block and the second connecting block are fixedly connected to one ends of the flexible connecting blocks correspondingly, through limiting of the flexible connecting blocks and multiple structures including an inner wall pad, a top pad and a side block, the connectivity of the oxygen connector is ensured, meanwhile, due to the design of a clamping block and a pressing top block, the clamping block and the pressing top block are not prone to falling off, and the clamping block and the pressing top block are not prone to falling off. By means of the technical scheme, medical staff can quickly complete fixation and separation of the oxygen tube only through simple operation, the working efficiency is greatly improved, the workload is relieved, and the problems that in the prior art, the workload is large, and the comfort degree is insufficient are solved.

The invention discloses a cloud-based linkage type remote collaborative consultation treatment method for acute and critical diseases of plateau medicine, and particularly relates to the technical field of artificial intelligence. A multi-parameter acquisition terminal is deployed, plateau specific physiological indexes of a patient are acquired, altitude environment parameters are acquired and encrypted and transmitted to a cloud, and a doctor logs in a cloud platform; the system receives multi-dimensional data of a patient, analyzes the uploaded data by using an intelligent analysis module in a cloud platform, constructs an immersive remote consultation environment in combination with a large-model scientific research inquiry function, a recommended treatment scheme and emergency treatment measures, and enables experts to communicate and analyze with attending doctors in a video conference mode. The method comprises the steps that a patient is monitored, the condition of the patient is discussed, a treatment scheme is formed, in the treatment process, vital signs and the condition of the patient are uploaded to a cloud end in real time, a doctor carries out accurate adjustment according to the condition change of the patient and treatment response, and all treatment records and patient data are stored and synchronized through a cloud platform.

Apparatus and methods are disclosed for monitoring, tracking, and storing vital signs using an adjustable wristband and / or ring designed to fit the patient or user. The apparatus includes integrated components such as sensors, a motherboard, and a web-based platform and / or mobile dashboard. The apparatus work together to notify the patient, healthcare team, and family members when vital signs are abnormal. Additionally, the system displays and securely stores vital signs data, making it accessible to authorized individuals during medical care or for daily health monitoring. The apparatus provides real-time notifications to users upon detecting abnormal vital signs and utilizes artificial intelligence (AI) and machine learning models to analyze health data collected from multiple data sources including EMR systems, multiple personal devices and payers to predict risk to critical illness, recommend preventive care options, and deliver proactive, personalized health insights to users, enhancing remote patient management, improving patient outcomes and overall efficiency.

This invention relates to the field of interdisciplinary technology of artificial intelligence and medical information, and discloses an intelligent ward nursing system aimed at solving the problems of scattered nursing task information, lack of dynamic scheduling, and high-risk early warning mechanisms in existing technologies. The system includes: constructing a structured nursing needs database; dynamically generating a unified nursing task list for the entire ward; visually displaying task status through a graphical interface in multiple dimensions; establishing a linkage early warning mechanism for high-risk states such as severe / critical illness; and integrating dynamic physiological data such as fluid intake and output, and weight to drive adaptive nursing scheduling. By adopting the above technical solution, this application can achieve centralized management, intelligent early warning, and proactive intervention of nursing tasks, significantly improving nursing efficiency and preventing emergencies.

The utility model discloses an acute and critical oral care device, which belongs to the technical field of oral care devices and comprises a liquid storage tank, a sealing cover in threaded connection with the top end of the liquid storage tank, a connecting base in threaded connection with the top end of the sealing cover, and a first communicating pipe fixedly mounted at the top end of the connecting base. An atomization device is fixedly installed on one side of the first communicating pipe, an outer barrier plate is fixedly installed on one side of the atomization device, a mouth-contained plug block is fixedly installed on one side of the outer barrier plate, a second connecting pipe is fixedly installed in the sealing cover, and an inner connecting pipe is integrally formed at the bottom end of the connecting base and movably inserted into the second connecting pipe. A first threaded ring is fixedly mounted at the bottom end of the connecting base. Through the cooperation of a plurality of structures, the filtering thin cloth can be quickly detached to be replaced and cleaned, the cleanness and sanitation of the device can be kept, the operation is simple and convenient, the oral care can be effectively carried out on an acute and critical patient, and meanwhile, the purity and the suitability of care liquid are ensured.

The invention provides a medical resource optimization matching method and system for emergency and critical disease rescue, and relates to the technical field of software testing, and the method comprises the steps: obtaining microcirculation perfusion data, wound characteristics, inspection data and basic illness state data of a target patient; obtaining a microcirculation perfusion index dynamic gradient of the target patient according to the microcirculation perfusion data; processing the microcirculation perfusion index dynamic gradient, the trauma characteristics, the test data and the basic illness state data of the target patient by using an illness state grading model to obtain an illness state grade and an organ failure risk probability of the target patient; inputting the disease grade, the organ failure risk probability, the medical resource state matrix, the medical team energy efficiency coefficient and the space-time constraint parameter of the target patient into a resource optimization model to obtain a medical resource scheduling scheme of the target patient; and performing medical resource scheduling according to the medical resource scheduling scheme. By applying the method provided by the invention, patient condition grading and resource requirements can be accurately identified.

The present application relates to the technical field of medical apparatus and instruments, and particularly relates to a self-adaptive bedside CT device.The present application comprises: a semicircle splicing mechanism arranged on both sides of a hospital bed; an examination mechanism arranged on the semicircle splicing mechanism and used for examining a patient lying on the hospital bed; and a mobile trolley arranged at the bottom of the semicircle splicing mechanism.The present application is designed by the structure of the semicircle splicing mechanism, the examination mechanism, the mobile trolley and an electric control system, so that the device can solve the problem that a patient with critical illness cannot move and cannot be separated from various life monitoring and life support devices, pipelines and the like due to the limitation of the CT machine frame aperture by adopting the semicircle splicing mode, and the problem that the patient cannot pass through due to the limitation of the CT machine frame aperture is solved, and the three-dimensional data reconstruction of data is realized by using a radiation source to take images at multiple angles and different positions.Compared with a conventional CT device, the present application has the characteristics of being movable, splicable and adaptable to different terrains, and the mobility and flexibility of the device are further improved.

The invention discloses an endoscopic living body sampling device for respiration and critical diseases, and relates to the technical field of endoscopic living body sampling. The endoscopic living body sampling device for breathing and critical diseases comprises a spring hose, a handle, a steel wire rope and a movable column arranged in the spring hose, the movable column can be driven to move through the handle and the steel wire rope, the end, away from the handle, of the spring hose is fixedly connected to an installation head, and a guide rod is fixedly connected into the installation head; the side wall of the guide rod is rotationally connected with two clamps, rotation of the clamps is driven by a driving mechanism, and an adsorption mechanism is arranged in the mounting head. According to the endoscopic living body sampling device for respiration and critical diseases, during sampling, a sampling part can be pulled after being adsorbed, so that the sampling part is close to the clamp for clamping and sampling, the sampling position is more accurate, sampling is more convenient and faster, the clamping part can be prevented from loosening or even being separated, and the endoscopic living body sampling device is more stable and reliable; and the sampling efficiency and quality are ensured.

The utility model discloses a severe illness monitoring transfer bed, and relates to the technical field of medical instruments. A severe illness monitoring transfer bed comprises a bed frame rotationally connected with armrests and further comprises a plurality of rollers arranged on the lower portion of the bed frame. The connecting rods are symmetrically arranged on the two sides of the bed frame, the tail ends of the connecting rods are detachably connected with brake pads, and the brake pads correspond to the rolling wheels; according to the utility model, the rotatable lifting hook is arranged on the handrail in the prior art, and the lifting hook is linked with the connecting rod and the brake pad, so that the rollers are automatically unlocked in the standing process of the handrail, and the problem that the rescue opportunity of a patient is easy to delay due to the fact that the rollers need to be unlocked one by one when the critical patient is transferred in the prior art is solved; after a patient is transferred to a corresponding department, the rolling wheels can be automatically locked in the process of folding the armrests, it is guaranteed that the severe illness monitoring transfer bed does not move in the process of removing the patient from the bed frame in a barrier-free mode, and the potential risk that the patient is secondarily injured is avoided.

The utility model relates to the technical field of medical equipment, in particular to a breathing machine for respiration and critical disease medical departments, which comprises an air compressor base, a humidifier is mounted at the front end of the top surface of the air compressor base, a heating device is arranged on the left side of the humidifier, and the bottom of the heating device is fixedly connected with the top surface of the air compressor base. A breathing machine controller is arranged above the humidifier, a breathing tube is fixedly installed on the top of the humidifier in a communicating mode, the outer surface of the tail end of the breathing tube is sleeved with a heat preservation wrapping pad, and a circulating heat preservation tube is fixedly arranged in the heat preservation wrapping pad. According to the breathing machine for the breathing and critical disease medicine department, an additional detachable constant-temperature heating wrapping pad is additionally arranged on existing breathing machine equipment, the tail end of a breathing tube can be wrapped, gas about to be inhaled by a patient is subjected to secondary heating constant temperature, the temperature of the breathing gas is fully ensured, and the comfort of the breathing machine in the using process is improved; and the condition that the gas temperature is reduced due to the length of the breathing tube is effectively avoided.

The invention relates to the technical field of microwave signal frequency measurement, and discloses a cardiovascular and cerebrovascular acute critical disease early warning and monitoring system, which comprises a patient risk layering module, a multi-dimensional physiological signal acquisition module, a physiological signal abnormity analysis module and an early warning trigger and response module, and all the modules realize two-way communication through a data bus. According to the cardiovascular and cerebrovascular acute critical disease early warning and monitoring system, risk values are calculated and graded through the patient risk layering module according to the age, the basic disease number and the historical attack number, differential acquisition parameters are configured for patients with different risks, the problem that the monitoring precision of high-risk patients is insufficient is avoided, and resource waste of low-risk patients is reduced.

The invention discloses a mouth gag and fixed intubation integrated device for oral intubation patients with general anesthesia, acute and critical diseases and the like, and relates to the technical field of medical instruments, the mouth gag and fixed intubation integrated device comprises an opening part, an intubation fixing part and a connecting part, the mouth gag and teeth do not shift in the coronal plane direction through a limiting flange, and unstable supporting caused by movement of the patient and operation of nurses is avoided; through linkage joints on the left side and the right side of the oral cavity, the wedge-shaped rear tooth cushion with the thickness of one end larger than that of the other end and rear teeth with occlusal surfaces open the oral cavity of a patient, damage to anterior teeth is avoided, a trachea cannula is placed in a fixing ring extending out of a connecting part, and after buckling is conducted through a buckling ring, a pressurizing handle is used for pressurizing and fixing; the trachea cannula is tightly pressed by the silica gel pad, so that the problems that the trachea cannula is disengaged and displaced and is bitten by a patient are solved.

This invention discloses an AI-powered dynamic surgical model download and adaptive minimally invasive surgical control method, relating to the fields of medical AI and emergency rescue technology. It collects patient data through multimodal sensors, automatically identifies symptoms and matches surgical models, and downloads encrypted models from the cloud via satellite link when no effective model is available locally. After multiple verifications, the model is loaded and run. During surgery, surgical parameters are adaptively adjusted based on real-time feedback, and a network outage autonomous redundancy mechanism is also included. This invention solves the problems of existing surgical models being fixed, unusable under weak network conditions, and lacking adaptive control, enabling autonomous emergency rescue for all diseases and in all scenarios, without the need for professional personnel. It is compatible with vehicle-mounted emergency rescue systems, significantly improving the survival rate of patients with sudden critical illnesses.

The invention relates to an artificial intelligence-based auxiliary enterprise employee serious disease risk prediction method and device, equipment and a medium. The method comprises the following steps: acquiring a multi-source heterogeneous data set of enterprise employees; the multi-source heterogeneous data set comprises static health record data, dynamic physiological monitoring data, post exclusive work behavior data and organization environment data; generating a dynamic risk feature vector based on the multi-source heterogeneous data set; inputting the dynamic risk feature vector into a trained serious disease risk prediction model to obtain a personalized serious disease risk portrait; the personalized serious disease risk portrait comprises the occurrence probability of the serious disease of the enterprise employee, the type of the high-risk serious disease and the risk contribution proportion. By adopting the method, dynamic and accurate prediction of the enterprise employee serious disease risk can be realized, and the pertinence of enterprise health management is effectively improved.

The invention discloses an injection for preventing and treating delirium of ICU (intensive care unit) critical and cancer postoperative patients as well as a preparation method and application of the injection, and belongs to the technical field of pharmaceutical preparations. The injection is prepared from the following components in percentage by weight: 0.001 to 0.5 percent of melatonin receptor stimulant, 530 percent of oil for injection, 0.55 percent of phospholipid, 00.5 percent of co-emulsion, 0.55 percent of isoosmotic adjusting agent, 0.011.0 percent of pH (Potential of Hydrogen) adjusting agent and the balance of water for injection, and the pH is 5.010.0. The preparation process comprises the steps of oil phase preparation, water phase preparation, emulsification, high-pressure homogenization, sterilization and the like. The average particle size (D50) of the injection is 100350nm, the content of large emulsion particles with the particle size of 5 microns is 0-0.05%, the release rate within one hour is not lower than 80%, and the main drug content within 24 months of validity is not lower than 90%. According to the invention, the drug treatment accessibility of existing ICU severe illness and cancer postoperative delirium is realized. The product takes effect quickly after administration, can realize smooth transition from short-term injection administration to oral administration in a recovery phase after ICU / severe illness operation, and has a remarkable clinical compliance advantage.

The application discloses a kind of respiratory data reminding system of respiratory critical illness patient, belongs to respiratory critical illness technical field, comprising: respiratory acquisition module, for collecting the real-time respiratory data of respiratory critical illness patient;Data processing module is handled and is stored for the real-time respiratory data of respiratory critical illness patient;Respiratory analysis module is analyzed for the real-time respiratory data of respiratory critical illness patient;Reminding intervention module is for the abnormal behavior of respiratory critical illness patient's respiratory warning and reminding and intervention control.The application solves the problem that existing cannot be monitored and early warning reminded in real time to the respiratory condition of respiratory critical illness patient.The application can be monitored and early warning reminded in real time to the respiratory condition of respiratory critical illness patient, can find abnormal behavior in time, and can be intervened and controlled in time to respiratory critical illness patient, to a certain extent, improve the survival rate of patient.

The invention relates to the technical field of artificial intelligence and AGV control, and discloses an AGV intelligent transfer control scheduling method and system for personnel body transfer, and the method comprises the steps: obtaining a space pose relation between an AGV and a target bed; the Mecanum wheel chassis is driven to move in all directions, and the posture is finely adjusted to achieve millimeter-level butt joint; the gravity center and the supporting state of the body are recognized in real time through a multi-section flexible transfer mechanism in combination with a pressure distribution sensing array; and the speed of each conveying unit is dynamically distributed to realize zero relative sliding, and a local lifting device driven by a voice coil motor is used for performing millisecond-level vertical compensation to ensure zero clearance in the whole process. The system comprises a space pose sensing module, a chassis motion control module, a flexible transfer execution module, a pressure-speed coordinated regulation module, a vertical clearance compensation module and a task management module. The transfer safety, comfort and automation level are remarkably improved, and the system is suitable for high-sensitivity scenes such as severe illness, postoperative nursing and old-age nursing.

This invention discloses a vehicle-mounted integrated AI minimally invasive emergency rescue system and a method for collaborative emergency plasma replenishment in mountainous areas, belonging to the fields of emergency medical care and intelligent transportation technology. The system includes a vehicle factory-embedded medical module, an AI autonomous surgical unit, a satellite communication collaborative unit, a plasma cold chain replenishment docking unit, and a life support unit. It adopts an integrated vehicle-mounted folding design, which does not affect vehicle safety or appearance. The AI ​​autonomous surgical unit enables autonomous minimally invasive treatment when no professional personnel are present, the satellite communication unit enables global network connectivity without dead zones and autonomous operation even when the network is down, and the plasma replenishment unit achieves rapid cold chain docking and replenishment via a low-altitude aircraft. This invention solves the problems of delayed emergency rescue in remote scenarios, limited functionality of vehicle-mounted equipment, and difficulties in plasma storage and transportation, achieving zero-distance on-site emergency rescue, seizing the golden treatment time, and is suitable for large-scale standard configuration in private cars. It can significantly improve the survival rate of patients with sudden critical illnesses and has extremely high social value and feasibility for implementation.

The invention belongs to the technical field of health management, and particularly relates to a risk assessment and personalized scheme generation method based on multi-source health data. The method comprises the following steps: collecting health data of a user; cleaning, converting and standardizing the collected health data, and constructing a user health portrait and derivative features; inputting the processed health data into a pre-trained artificial intelligence model cluster which comprises a stacked integrated learning model and an interpretable random forest model which are respectively used for critical disease risk probability assessment and specific health risk classification assessment; dividing risk grade categories according to the risk assessment result; based on the health data and the risk level category, generating a personalized health intervention scheme by retrieving the enhancement generation architecture; and dynamically updating a risk assessment and intervention scheme according to follow-up visit data to form a self-adaptive health management closed loop.