245 results about "Health services" patented technology

The invention belongs to the technical field of information technology and intelligent health service, and discloses a community old-age care service resource optimal configuration method based on edge computing, which comprises the following steps: collecting physiological data, environmental data and activity data of old people to form original heterogeneous data, uploading the original heterogeneous data to a data warehouse through an urban and rural community network adaptation mechanism, generating a space-time tagging multi-modal data set; constructing a dynamic digital twinborn model, generating a space thermodynamic diagram, identifying different level priority requirements, and generating a time period allocation scheme through a conflict priority scoring mechanism; an MILP model is constructed to dynamically optimize edge node computing power and functional area space resources, and a resource optimization report and a block chain transaction list are generated; desensitizing the original data of the old people, creating a digital identity card, generating an encrypted service log, and synchronously recording migration behaviors of the old people; and triggering network strategy switching and priority threshold self-adaption, and carrying out resource scheduling and strategy closed-loop optimization.

The invention discloses a text readability classification method and system based on a large model and comparative learning, and relates to the field of natural language processing. The method comprises the following specific steps: inputting an original text into a BERT encoder to generate a text vector; meanwhile, a plurality of independent BERT encoders are adopted to directly generate comparison text vectors of different grades; original text vectors and comparison text vectors are calculated through cosine similarity, a classification matrix is generated, and model parameters are optimized based on comparison learning. Compared with a traditional method, the method not only can utilize the strong feature extraction capability of a deep learning model, but also can effectively distinguish medical texts with different difficulty levels through a contrast learning strategy, can effectively capture the complex features of the medical texts, remarkably improves the accuracy and interpretability of readability classification in the field, and improves the recognition efficiency. And powerful support is provided for personalized medical health services.

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 discloses a personalized medical health service recommendation system based on big data analysis, and belongs to the technical field of medical health services. The synchronization module is used for generating a standardized data stream according to dynamic blood glucose monitoring data and an original heart rate variability signal; the analysis module is used for generating a diet time sequence data stream according to the intake event timestamp; the blood glucose feature extraction module is used for extracting data from the standardized data stream; the insulin sensitivity analysis module is used for generating an insulin sensitivity factor matrix; the nutrition analysis module is used for generating a carbohydrate equivalent time distribution vector and a dietary fiber intake intensity value; the feature fusion module is used for generating a fusion feature vector according to the blood glucose drift trend coefficient, the insulin sensitive factor matrix and the carbohydrate equivalent time distribution vector; the risk assessment module is used for generating a hypoglycemia risk probability value according to the fusion feature vector; and the recommendation generation module is used for generating a personalized service recommendation set according to the hypoglycemia risk probability value.

The invention discloses an intelligent health management and insurance service integration system and method, and belongs to the technical field of information integration systems. An intelligent health management and insurance service integrated system comprises a user side, an insurance company side, a hospital side and a third-party server side which are in communication connection with a server. The user side is provided with an information acquisition module, a health monitoring module, a health service module and an insurance module. According to the invention, the health management and the insurance service are creatively and deeply fused, a one-stop integrated service mode is created, and the situation that the health management and the insurance service are mutually independent and the user needs to respectively search and connect is changed; according to the invention, the user can obtain accurate insurance recommendation and convenient claim settlement service while enjoying the health management service, and the insurance company can better develop business by means of the health management data, so that win-win of the user, the insurance company, the medical institution and the like is realized, and a brand new service concept and mode change are brought to the field of health insurance service.

The invention discloses a forest health care activity suitability evaluation system, and belongs to the technical field of environment monitoring and health service. Comprising a health-care element analysis unit used for generating a health-care element peak level, a health-care element judgment module used for judging whether health-care elements are superior to historical data, and an air data analysis unit used for generating air data evaluation indexes. The health-care activity suitability evaluation basic index generation module is used for generating health-care activity suitability evaluation basic indexes, and the air state judgment module is used for judging whether forest air meets requirements of health-care activities or not. The suitability comprehensive evaluation unit is used for generating a suitability comprehensive evaluation index; the suitability judgment module is used for generating a suitability evaluation signal of the forest health care activity; according to the method, the objectivity and reliability of the evaluation result are improved through multi-dimensional comprehensive consideration of the forest health and care environment, accurate guidance is provided for planning and management of forest health and care activities, and the healthy development of the forest health and care industry is promoted.

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 relates to the technical field of medical health, and discloses a medical health service management system and method based on a health archive, and the system comprises a health archive management module which obtains the health data of a user from one or more preset health data sources, and builds the health archive of the user based on the health data; the health data analysis module is used for performing health assessment and disease risk prediction on the user according to the health file and generating a health suggestion report; and the medical resource matching and scheduling module is used for responding to the user instruction, and matching and scheduling medical resources for the user from a preset medical resource database according to the health suggestion report, the medical demand input by the user and the geographic position set by the user. According to the medical health service management system based on the health archives, closed-loop management from data collection to service recommendation is constructed, the intelligent level of health management and the resource configuration efficiency are improved, and intelligent upgrading of medical health services and remarkable improvement of the resource utilization efficiency are achieved.

The invention discloses a human body life health management method and system based on AI twinborn digital humans, and the method comprises the steps: collecting human body life health data in multiple dimensions, comprehensively and deeply collecting human body health information, breaking through the limitation of single traditional health management data, and providing a rich data basis for precise health analysis; through combination of an artificial intelligence model and a medical professional field knowledge base, deep mining and intelligent analysis can be performed on complex health data, multi-system / organ physiological age prediction, early risk prediction of diseases, accurate diagnosis and personalized health guidance are realized, and scientificity and effectiveness of health management are improved; based on the AI twinborn digital human generated by the user in a personalized manner, health management service is provided for the user in a visual and intimate manner, the sense of participation and acceptability of the user are enhanced, and the requirements of the user for personalized health service are met, so that the method has the advantages of high intelligent degree and good interaction effect.

The invention discloses an online health management method and system based on big data, and relates to the technical field of online health management, a virtual user executes a selected health service to simulate the process that a real virtual user participates in a health activity in actual life, and after the virtual user completes the health service, the virtual user can take part in the health activity. The pheromone concentration is updated according to the effect of the plan, the virtual user carries out selection and execution of the health care service and updating of the pheromone concentration according to the pheromone concentration and a heuristic rule, convergence is carried out after a preset number of iterations is achieved, natural attenuation of the pheromone concentration is simulated based on the volatilization rate of the pheromone concentration, and the health care service is obtained. After the last round of iteration is completed, according to the pheromone concentration and the health care service effect, the optimal health care service is selected as the final personalized recommendation. The management system effectively generates more personalized health and care services for the virtual users, progressive optimization helps the management system continuously adapt to health changes and demand evolution of the virtual users, and the long-term effectiveness of the health and care services is improved.

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 provides a medical care health service recommendation method, a training method, an electronic device and a medium, and the method comprises the steps: taking a medical care health service and at least two types of user tags as training data, training an intelligent agent, enabling the intelligent agent to complete the construction of a user demand portrait and the calculation of the correlation degree of the user tags, and carrying out the prediction of the medical care health service, through the training implementation of the intelligent agent, the medical care and health care service can be more accurate, efficient and intelligent.

The embodiment of the invention provides an intelligent steering wheel and a hand physiological signal acquisition method thereof, and relates to the technical field of physiological signal monitoring. At least one guide groove is formed in the steering wheel body; the guide groove is used for accommodating a hand area when a driver holds the steering wheel body; the at least one measuring area is arranged in the guide groove; a photoelectric sensor and a pressure sensor are embedded in the measuring area; the controller is electrically connected with the photoelectric sensor and the pressure sensor; the controller is configured to generate a control instruction for controlling the photoelectric sensor according to a pressure value signal fed back by the pressure sensor; the control instruction is used for collecting physiological signals of the driver. According to the method, a driver does not need to additionally wear any equipment, the physiological data can be continuously and stably collected while privacy safety is ensured, implementation of personalized health services is supported, and the method has wide application prospects and important popularization value.

Systems, methods, and computer-readable storage media are provided for determining and ascribing clinical conditions or diagnoses to patients and provide them to a caregiver, such as attending clinicians or other appropriate health services personnel. In particular, embodiments of the disclosure determine likely phenotypic findings that are salient to the decision-making context for a current human patient, based on anticipative sequence-mining and trajectory-mining. A sequential pattern mining and sequence itemset matching system is provided for determining likely, temporally-relevant concepts that are manifested in the information that is produced during the course of a patient's care. A clinician or caregiver may be provided the sequence itemset matching by generating a list or notice. In addition or alternatively, the results may be stored in an EHR associated with the patient.

The invention discloses a health service system and method based on an automobile, the health service system comprises a sensing terminal, an intelligent cabin system, an intelligent health platform and a health service module, the sensing terminal comprises a camera, an automobile control watch and an environment detection sensor, the camera and the environment detection sensor are installed in the automobile, and the automobile control watch is connected with the camera and the environment detection sensor. The vehicle control watch is worn on the arm of a vehicle owner, the intelligent cabin system is in bidirectional connection with the sensing terminal, the intelligent health platform is in bidirectional connection with the intelligent cabin system, the health service module is in input connection with the intelligent health platform, and the health service module comprises a personalized health suggestion unit, a remote medical support unit and a health file management unit. Therefore, the health state of the passenger and the environment in the vehicle are monitored in real time through various sensors, data analysis and processing are carried out through the intelligent health platform, and personalized health suggestions and remote medical support are provided. And the healthy and comfortable cabin experience of the user is further ensured.

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.

A virtual health system is provided that creates a digital platform to connect patients to healthcare providers. Healthcare providers create profiles that describe their healthcare specialty and provide scheduling information that indicates their availability along with preferences such as appointment or meeting length, minimum break between appointment, and price. Patients create profiles that includes demographic information as well as medical records. The patients may use the system to search for available healthcare providers using a variety of criteria, and to schedule virtual health services such as video chats. The system facilitates payment for the healthcare services, and records any notes, assignments, or prescriptions generated by the healthcare provider during the services. In the event that a patient would like to engage a different healthcare provider associated with the system, the system only allows access to the patient records after receiving permission from the patient.

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.

The invention discloses a big health service management system based on an AI technology. The big health service management system comprises a data center module, a health management module, a medical service module and a health care service module. According to the invention, based on the AI technology, in combination with various modal data such as texts, images, time sequences and the like, a multi-modal fused large health service management model is constructed, more accurate health prediction and diagnosis can be realized, and through the application of the system, the health data management efficiency can be improved, the data security can be guaranteed, and multi-party cooperative service can be realized. Through deep integration of an AI technology and a vertical domain model, the platform is promoted to be upgraded from function integration to intelligent driving and multi-mode cooperation, comprehensive optimization of health management, medical services and medical and nursing services is realized, and more efficient, accurate and humanized health services are provided for residents.

The invention relates to the technical field of health service scheduling, in particular to an old-age care service scheduling system based on artificial intelligence, which comprises an old-age care task interaction influence degree calculation module, an old-age care task path optimization module, an old-age care parallel task scheduling module, an old-age care task intersection flow regulation and control module and an old-age care task time window adjustment module. According to the method, by calculating the spatial proximity, the time interval overlapping ratio and the resource occupation condition of the tasks, the task pairs with high relevance are recognized, efficient collaboration between the tasks is achieved, path adjustment reduces task execution conflicts, the resource utilization rate is increased, the task priority optimization makes the low-interaction-influence task sequence more reasonable, and the task efficiency is improved. Task backlog and scheduling chaos are avoided, flow control balance tasks are distributed in different time periods, the risk of intersection congestion is reduced, execution smoothness is improved, a time window dynamic adjustment mechanism optimizes task arrangement according to real-time data, scheduling adaptability is ensured, and resource allocation accuracy and execution efficiency are improved.

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 invention discloses a health monitoring system applied to gynaecology and obstetrics and covering pregnant woman whole-process data management, and relates to the technical field of medical digital management, and the health monitoring system comprises a data processing module, an information query module and a feature extraction module, and is used for collecting pregnant woman information, family member information and doctor information, correlating the information, and sending the related information to a server; the two-dimensional code is generated according to the diagnosis and treatment data of the pregnant woman, and the content in the two-dimensional code is dynamically updated through multi-terminal data collection, so that the whole-process data of the pregnant woman can be better and more comprehensively collected, and the whole-process health monitoring of the pregnant woman is further realized. According to the method, data management of the whole process of the pregnant woman from filing to postpartum reexamination is covered, all links of pregnant woman management are broken through, the requirement for supporting precise and personalized pregnant woman health service is met, and a new technical thought is provided for pregnant woman full-process data management.

A computing system can initially receive client data of a client of the financial health service. Using the client data, the system generates an individualized action plan and a financial health score for the client. The system further receives, in real-time, financial update data indicating changes to a financial situation of the client. In response to receiving the financial update data, the system updates the individualized action plan and the financial health score for the client. Thereafter, the system may receive a financial health request from a transaction entity with which the client transacts, and based at least in part on the financial health request, the system can transmit the updated financial health score to the computing device of the transaction entity.

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 present application provides a method, apparatus, device, storage medium and product for generating health service data, belonging to the field of Internet technology. The method includes: sending a data call request to a first terminal, where the data call request is used to request to call a third-party data interface for data scheduling, and the first terminal is used to generate service data when a user conducts a health service; receiving the target service data sent by the first terminal, where the target service data is the service data corresponding to the data call request obtained by the first terminal calling the third-party data interface; integrating the target service data and the reservation data to generate the health service data of the user, and the reservation data is the data generated when the user reserves a health service. This method improves the utilization efficiency of health service data.

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.

A virtual health system is provided that creates a digital platform to connect patients to healthcare providers. Healthcare providers create profiles that describe their healthcare specialty and provide scheduling information that indicates their availability along with preferences such as appointment or meeting length, minimum break between appointment, and price. Patients create profiles that includes demographic information as well as medical records. The patients may use the system to search for available healthcare providers using a variety of criteria, and to schedule virtual health services such as video chats. The system facilitates payment for the healthcare services, and records any notes, assignments, or prescriptions generated by the healthcare provider during the services. In the event that a patient would like to engage a different healthcare provider associated with the system, the system only allows access to the patient records after receiving permission from the patient.