137 results about "Health services" patented technology

The invention provides an intelligent virtuality and reality combined psychological health service device based on digital elements, and aims to improve the accuracy and individuation level of psychological health management. The device firstly obtains the physiological indexes, behavior data, environmental factor data and social economic data of an individual, and carries out multi-modal fusion to form comprehensive feature data. Based on this, a psychological health environment factor model is constructed to quantify the influence of the external environment on the individual psychological state, and the calculation weight and prediction logic of the negative emotion large model are optimized. And the optimized negative emotion large model is used for identifying an individual emotion state, analyzing factors such as social environment, economic pressure and life events in combination with the mental health environment factor model, and generating an individual mental health assessment result. And according to an evaluation result, the virtual digital doctor provides intelligent pre-inquiry and other services. Through data-driven intelligent analysis and virtual-real combined intervention means, the accessibility, accuracy and intervention effect of psychological health services are improved.

The invention relates to the technical field of intelligent wearable equipment, and provides a personal health service system based on an intelligent watch digital human, the system comprises an intelligent data analysis platform module comprising an intelligent watch end and a cloud end, the intelligent watch end comprises a digital human interaction module and a multi-source data acquisition module, the digital human interaction module constructs a multi-mode interaction mechanism based on a virtual digital human, obtains user health related information, receives a user instruction and outputs a health analysis result; the multi-source data acquisition module acquires physiological feature data and behavior activity data of a user in real time, and performs dynamic alignment and consistency verification of multi-dimensional data through a space-time association algorithm; and the intelligent data analysis platform module adopts a hierarchical collaborative architecture of edge computing and cloud deep mining to intelligently analyze and process the collected data and generate a personalized health assessment report and a dynamic intervention suggestion, so that the digital human interaction experience can be optimized, and the personalization, intelligence and naturalization of health management can be realized.

The invention discloses a risk early warning method and device, electronic equipment and a storage medium, and relates to the technical field of risk early warning. According to the risk early warning method and device, personalized learning is carried out based on a medical knowledge base in combination with multi-modal semantic embedding, and a user exclusive causal map is generated to consider individual differences; the model is updated in real time, the health state posterior probability is accurately calculated through a filtering algorithm, and misjudgment is reduced; a target event probability and a high-probability causal path are deduced, a hierarchical intervention instruction and an active disturbance calibration mechanism are matched, a user feedback dynamic optimization map is combined, and medical rationality and personalized adaptation are guaranteed, so that the problems that individual differences are ignored, high false alarms and missing alarms are likely to be generated, and the accuracy and the reliability of medical analysis are poor in existing threshold judgment or statistical correlation analysis can be solved. According to the technical scheme of the invention, the technical problems in the prior art are solved, and the technical effects of reducing the false report and missing report rate of health risks, enhancing the individual suitability, maintaining the medical rationality, and improving the continuous effectiveness of the home health service and the user credibility are achieved.

The invention relates to the technical field of health evaluation, in particular to a group image health evaluation method and system based on intestinal flora, and the method comprises the steps: collecting intestinal flora samples of a target group through a standardized process, and obtaining microbial sequence information through a high-throughput sequencing technology; microflora diversity characteristics and core flora characteristics are extracted through strain identification and relative abundance analysis, individual flora characteristics are compared with a healthy population reference database, health state scores are calculated, health grades are divided, population health grade distribution is counted, and the population health grade distribution is calculated. And generating a group health evaluation report containing a visual chart and text analysis. According to the method, a complete technical system from sample collection to health strategy making is established, systematic evaluation of the group health state from the perspective of intestinal flora is achieved, and the limitation of a traditional method in group health early evaluation is overcome. The method is suitable for health monitoring of different scales of groups, and provides effective technical support for public health management and health service.

The invention relates to the technical field of diet health services, in particular to a diet service method and system based on human nutriology. The method comprises the steps of collecting multi-dimensional data for a user; on the basis of a human nutriology database and user full-amount data, a personalized nutrition target is determined through nutrition requirement calculation; in combination with personalized nutrition targets, user dietary habits and actual life scenes, food material recipes are matched to generate multiple sets of personalized dietary schemes; providing diet scheme execution guidance, and adjusting the diet scheme; the personalized diet scheme and the updating scheme are pushed to the user; the system comprises a user data acquisition module, a nutrition target determination module, a diet scheme generation module, a diet scheme guidance and dynamic adjustment module and a push module. According to the method, multi-dimensional adaptation of nutritional demand analysis to user data is realized, the disease state, exercise intensity and dietary habits of the user are fully combined, the nutrition target pertinence is improved, and the actual demand of the user is accurately matched.

The invention discloses a Bayesian network-based cold region tunnel vulnerability dynamic evaluation method and system, and belongs to the technical field of tunnel engineering. According to the method, meteorological data of a cold region is collected, and a tunnel full-life-cycle database is constructed in combination with multi-working-condition numerical simulation and an ANN agent model; calculating vulnerability grades under different working conditions based on a damage index grading system and a vulnerability model; a three-layer dynamic Bayesian network model (environmental factors, response parameters and vulnerability levels) is established, actually measured data are fused, and network parameters are dynamically updated by adopting an MCMC method. The problems that cold region tunnel data are missing and traditional evaluation is high in subjectivity are solved, full-life-cycle vulnerability dynamic accurate evaluation is achieved, and decision support is provided for tunnel healthy service.

The invention relates to the technical field of medical informatization, in particular to a medical patient appointment registration management system based on an internet technology, which constructs a decentralized intelligent appointment ecology through deep fusion of a block chain, artificial intelligence, the internet of things and a big data technology. The system comprises a distributed block chain network module, an intelligent distribution module, a cross-institution data sharing module, a personalized service module, a multi-terminal interaction module and a security system, it is ensured that data cannot be tampered through an alliance chain architecture and an intelligent contract, and intelligent distribution of number sources is achieved through an improved ant colony algorithm. A zero-knowledge proof technology is adopted to guarantee credible sharing of cross-mechanism data, and personalized health services are provided in combination with BERT and LSTM algorithms. The problems of low efficiency, potential safety hazards and cooperation barriers of a traditional system are effectively solved, the medical service quality and the resource utilization efficiency are remarkably improved, and the system is suitable for medical institutions at all levels and regional medical cooperation scenes.

A process for generating and presenting instructional content using a machine-learning system can include the step of monitoring a playback device to log user interactions with a service to a user interaction table (UIT) and to log operational data of the service to a health server. Baseline interaction values are identified for the service. The user interactions and the operational data are compared with the baseline interaction values to determine an interaction with the service is inefficient. Hardware and software of the playback device used to interact with the service are identified. The process includes generating instructional content for using the service in response to determining the interaction with the service is inefficient. The instructional content includes images of an interface of the identified hardware and software of the playback device.

The application belongs to the technical field of artificial intelligence medical treatment, and discloses a medical health service system and method based on a multi-granularity semantic analysis and knowledge reasoning engine, which comprises the following steps: through a multi-granularity semantic analysis module, coarse-grained intention recognition and fine-grained medical entity state extraction are performed on the unstructured input of a user; a dynamic probability reasoning engine starts two reasoning paths in parallel: a generative reasoning path generates a group of candidate diagnosis hypotheses by using an LLM, and a symbolic reasoning path performs multi-hop probability reasoning on a unique probability knowledge graph to calculate another group of candidate diagnosis paths and their cumulative probabilities; a reasoning fusion and verification module cross-verify the results of the two paths, and only when the hypothesis of the LLM is verified by the high-probability path of the PKG, a final health service response containing a conclusion and an interpretable path is generated. The application significantly improves the accuracy, reliability and transparency of automated medical consultation services.

The invention relates to a medical health service method and system. The method comprises the following steps that S1, a user registers through a user side, and a server registers through a server side; s2, a user fills in a medical health service demand order through a user side, and selects an order issuing mode for issuing; s3, the server obtains order information through the server side and executes order response according to the release mode; s4, the user side displays the individual information, the characteristic service and the characteristic attribute information of the delivery server, and the server side displays the complete demand information of the order to realize bidirectional information transparency; by the adoption of the technical scheme, through the double-end architecture of the user side and the server side, a user directly and actively screens information and medical qualification of a server rather than passively accepting assignment of an intermediary agent, the server directly obtains complete medical requirements of an order, the two-way selection mode automatically selects and fully executes according to needs, passive matching failure is avoided, and the user experience is improved. And the service pertinence and quality are improved.

The application discloses a traditional Chinese medicine chronic disease family nursing method based on a cloud platform, relates to the technical field of intelligent health services, and comprises the following steps: performing deep fusion and intelligent analysis on a family nursing data package by constructing a virtual patient model, generating personalized data of patient physiological indexes and traditional Chinese medicine syndrome states, generating a customized family nursing candidate scheme based on the personalized data of the patient physiological indexes and the traditional Chinese medicine syndrome states, combining behavior prediction analysis, intelligently evaluating and real-time feeding back, and forming a traditional Chinese medicine chronic disease family nursing management scheme according to a nursing scheme set, combining physiological index and symptom data analysis correction. The application can accurately reflect the current health state of a patient by collecting physiological data and traditional Chinese medicine syndrome information of the patient, combining family environment data, constructing a dynamically updated virtual patient model, and realizing the personalization and dynamic adaptation of a nursing scheme.

The invention discloses a human body acupoint automatic positioning method, system and device based on deep learning and a storage medium. A body part area containing an acupoint is quickly positioned through a target detection model; utilizing a key point detection model to accurately detect anatomical key point coordinates in the region; innovatively, firstly, according to a preset traditional Chinese medicine acupoint positioning rule knowledge base, mathematical calculation is conducted on the key point coordinates, and initial acupoint coordinates are obtained; then a local image area with the initial coordinates as the center is intercepted, a lightweight self-adaptive fine tuning network is input, fine offset compensation is conducted on the initial coordinates according to local image features, and final high-precision acupoint coordinates are output. In addition, the invention further provides a double-model cooperative training process, weighted screening is carried out on training samples by utilizing a region detection model so as to improve the training quality of a key point detection model, and traditional Chinese medicine knowledge and a modern artificial intelligence technology are deeply fused so as to improve the training quality of the key point detection model. The method overcomes the defects of black box, high data dependence, poor generalization and the like of a pure data driven model, has the advantages of high positioning precision, high reliability, good interpretability and the like, and is suitable for multiple fields of traditional Chinese medicine clinic, teaching, health service and the like.

1. The name of the design product: wireless brain oxygen monitoring headband. 2. The use of the design product: for medical and health services, mainly with non-invasive brain oxygen monitor, which can be used for continuous non-invasive wireless monitoring of local brain oxygen saturation in clinical practice. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view 1.

1. The name of the design product: sample pretreatment device. 2. The use of the design product: the design product is used in medical and health services, and is used for pretreatment of detection samples. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view 1.

The invention discloses a sound-writing-psychology three-in-one treatment and healing method, which comprises the following steps: a preparation stage before treatment and healing: a1, a target consensus step: a guider and a participant communicate to clarify physical and psychological trouble appeals, and jointly formulate a treatment and healing target; a2, a base line evaluation step: guiding the participants to complete emotion state scoring, uncomfortable body part marking and recording of scenes and psychological factors causing body reaction. According to the sound-writing-psychology three-in-one treatment and healing system and method provided by the embodiment of the invention, professional and normative occupational identities are provided for physical and psychological recuperator practitioners, and the standardization level and professional dignity of services are effectively improved. The positioning emphasizes the fact that the health management initiative is handed back to an individual, the public is guided to change from passive help seeking to active health management, a feasible scheme is provided for connecting professional health service and daily self-recuperation through a structured intervention path, and innovative development of a health service mode is promoted.

This application relates to the field of data processing and discloses a multimodal health data processing system and method. The system includes several terminal devices connected in communication, a cloud management platform, and a consultation intelligent agent. The terminal devices are deployed in different application scenarios to collect users' current multimodal health data, which carries scenario tags. The cloud management platform receives and integrates health data from different scenarios, constructs and dynamically updates the user's health profile and scenario profile, and generates health risk assessment results. The consultation intelligent agent obtains user interaction information during interaction with the user, and generates and displays health service suggestions based on the user interaction information and health risk assessment results. This application realizes a closed-loop process of health data acquisition, health assessment, health service suggestions, and invocation, and supports the acquisition and monitoring of health data in different scenarios, achieving cross-scenario health monitoring.

The invention relates to the technical field of artificial intelligence, digital health and virtual reality, in particular to a traditional Chinese medicine health management intelligent system and method based on meta universe, an all-sensory interaction access module collects data and sends the data to a multi-mode perception fusion module, the data is fused to generate a user digital health twin state, and the user digital health twin state is sent to the multi-mode perception fusion module; the twinning state is transmitted to the core AI intelligent engine module and the health steward module, automatic traditional Chinese medicine syndrome differentiation analysis is performed on the twinning state, a result is sent to the traditional Chinese medicine health management application, the health steward module and the traditional Chinese medicine health management application module provide health services based on the syndrome differentiation result, and the health steward module performs health management and risk early warning; the barrier-free and globalization support module realizes cross-language and cross-culture adaptation, and the safety management module performs safety supervision and compliance auditing. According to the invention, standardized diagnosis and treatment, convenient service, active intervention, privacy guarantee and traditional Chinese medicine intelligent inheritance innovation are realized through a meta-universe technology, full-modal data integration, safety management and traditional Chinese medicine classical digitization.

1. The name of the design product: sample rack. 2. The use of the design product: the design product is used in medical and health services, and is used to carry test tubes containing samples for detection and analysis by a sample analyzer. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view.

The invention provides a medical scene optimization-oriented OCR neural network based on a lightweight CRNN architecture, and aims to significantly improve the medical text recognition precision while reducing the calculation overhead. The core innovation of the method is that on one hand, a lightweight convolution feature extraction module is introduced, and the model scale and reasoning energy consumption are effectively compressed; on the other hand, a dictionary constraint mechanism in the medical field is fused, medical terms and semantic structure priori knowledge are utilized, and the recognition capacity for professional symbols, abbreviations and context sensitive content is enhanced. According to the architecture, high accuracy is kept, meanwhile, the requirement for computing power is remarkably reduced, efficient deployment can be achieved on medical edge devices (such as portable terminals and basic diagnosis and treatment devices) with limited resources, feasible technical support is provided for large-scale application of medical OCR in scenes such as mobile medical treatment, basic health services and intelligent diagnosis and treatment terminals, and the application prospect is wide. Important clinical and industrialization values are realized.

1. The name of the design product: variable flow rate control handle. 2. The use of the design product: for medical and health services, mainly for DSA equipment contrast enhancement. 3. The design points of the design product: in the overall shape of the product. 4. The picture or photo that best indicates the design points: perspective view 1.

The application discloses a kind of distributed multi-dimension health management data acquisition intervention system and method, belong to health management technical and intelligent information service technical field.System includes personal data access end, data security processing center, health analysis and management engine, privacy file library and health analysis database.Through generating unified original identification for binding data and deriving anonymous health ID of no inference relationship, identity file and health data are respectively encrypted and stored in physically or logically isolated library, and the association is saved by means of independent encrypted identification mapping library.System uses mixed access control strategy based on role and attribute, so that health management teacher can only access desensitized data based on anonymous ID and carry out intelligent analysis and intervention, while supporting temporary authorized access under strict approval process.The application realizes the complete isolation of identity and health data, supports the safe use of data and personalized health services under the premise of protecting user privacy.

Techniques for monitoring virtual machine host system health with untrusted sources are described. An agent receives a request to terminate a first virtual machine, the request including an untrusted status indicator originating from an environment executing untrusted software. The agent sends first termination event data to a differential health service of the provider network, the first termination event data including an indication of a host computer system and the untrusted status indicator. The differential health service determines that a first metric associated with the first host computer system differs from a second metric associated with a pool of host computer systems by at least a first amount and based at least in part on the untrusted status indicator, wherein the pool of host computer systems includes the first host computer system. The differential health service sends a second request to cause a corrective action to be taken.

The invention provides a single-disease intelligent health service method and system based on an intelligent agent, and the method comprises the steps: obtaining patient data, and obtaining the health state of a patient at each moment and the weight of each health state according to the patient data; and taking the health states as health state nodes, taking the weight between the health states as an edge weight, and constructing a health state diagram. And if the edge weight is greater than a preset weight threshold, screening out a corresponding candidate task from a preset candidate task set according to the health state node, and defining the candidate task as a target task. And calculating a scheduling score of each target task according to the health state diagram, a preset physiological index abnormal degree, a preset behavior compliance missing degree and a preset cycle activation frequency. And if the scheduling score is greater than a preset activation threshold, defining the corresponding target task as an activation task, and generating personalized health content according to the activation task, the health state node and the patient portrait data, so that intelligent health content pushing can be realized.

This provides useful information to help health insurers and other organizations conducting health programs implement effective measures. [Solution] The program relating to this disclosure is a program that causes a computer to function as an information processing device for supporting a health business, wherein the information processing device includes: prediction means for predicting the health risk of each of the multiple subjects from the health information of the multiple subjects; evaluation means for dividing the multiple subjects into two or more groups with respect to measures for the health business, determining the health risk of each of the two or more groups, and evaluating the health risk of the two or more groups; and presentation information generation means for generating presentation information to present to the user the effects of the measures for the health business based on the evaluation means.

1. The name of the design product: charger. 2. The use of the design product: for medical and health services, mainly for charging the battery of surgical equipment. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view.

The invention relates to the technical field of traditional Chinese medicine diagnosis and treatment, and discloses a multi-modal data fused traditional Chinese medicine inquiry and acupoint compatibility method, device and equipment, and the method comprises the steps: obtaining the multi-modal data of a user, and carrying out the preliminary diagnosis based on the multi-modal data, and obtaining a preliminary diagnosis result; based on the preliminary diagnosis result, determining missing symptoms in combination with a standard operation process of traditional Chinese medicine diagnosis, and obtaining the missing symptoms through inquiry interaction to form a complete symptom set; reasoning and analyzing the complete symptom set by using a traditional Chinese medicine syndrome knowledge graph to obtain a final diagnosis result; and generating an acupoint compatibility diagnosis and treatment scheme according to the final diagnosis result. By integrating the multi-modal interaction technology and the intelligent analysis algorithm, an intelligent and standardized traditional Chinese medicine inquiry process is established, and the personalized diagnosis and treatment scheme is generated by using the multi-modal data, so that the accuracy and service efficiency of traditional Chinese medicine syndrome differentiation are improved, the time and economic cost of the user is reduced, and the user experience is improved. And a technical framework which can be copied and popularized is provided for online traditional Chinese medicine health services.

1. Name of the designed product: health service robot. 2. Use of the designed product: for health service robot. 3. Design points of the designed product: in shape. 4. Picture or photo best indicating the design points: perspective view.

The present disclosure is directed to providing digital health services. In some embodiments, systems and methods for conducting virtual or remote sessions between patients and clinicians are disclosed. During the sessions, media content (e.g., images, video content, audio content, etc.) may be captured as the patient performs one or more tasks. The media content may be presented to the clinician and used to evaluate a condition of the patient or a state of the condition, adjust treatment parameters, provide therapy, or other operations to treat the patient. The analysis of the media content may be aided by one or more machine learning / artificial intelligence models that analyze various aspects of the media content, augment the media content, or other functionality to aid in the treatment of the patient.

The application provides a hierarchical health service switching method based on a vehicle-mounted intelligent agent and related equipment, the method comprising: acquiring health consultation information input by a user and collected physiological monitoring data, vehicle operating state data and navigation data; constructing an individual physiological baseline of the user and generating a long-term health portrait; generating a structured health suggestion through the vehicle-mounted intelligent agent according to the health consultation information; determining physiological index risk values, symptom risk values and driving state risk values, and obtaining a comprehensive risk score by weighted fusion; determining a risk trend sequence in a future preset period; performing risk level division according to the comprehensive risk score and the risk trend sequence to obtain a risk level; and matching a corresponding health service strategy based on the risk level and performing service switching through the vehicle-mounted intelligent agent. The method of the application makes the risk assessment result more suitable for the real physical state of the user. High-risk states can be actively warned and intervened in advance.

The invention discloses a health service system based on a monitoring system and an access control system. The health service system comprises a front-end sensing system, an edge computing system, a cloud server and a management terminal, the front-end sensing system comprises an access control system, the access control system comprises a gate machine as well as a first acquisition device and a second acquisition device which are mounted on the gate machine, the first acquisition device is used for acquiring blood pressure and pulse, and the second acquisition device is used for acquiring fingerprints, oxyhemoglobin saturation and body temperature; the monitoring system comprises a high-definition visible light camera, and the high-definition visible light camera is integrated with a millimeter wave radar sensor module, an infrared thermal imaging module and an environment temperature and humidity sensor module. And the cloud server is used for deeply analyzing the preprocessed data of the edge computing system and sending an analysis result to the management terminal. According to the invention, the intelligent shortages of a traditional access control system and a monitoring system are overcome, and the active health management efficiency can be exerted in a health service scene.