17 results about "Self-management" patented technology

The invention relates to the technical field of medical care informatization, in particular to a diabetes and early-stage patient self-management system based on AI and CGM, which comprises the following steps: carrying out delayed alignment on CGM blood glucose flow and multi-modal physiological signals through a signal acquisition and synchronization module; an intelligent event triggering module is used for dynamically adjusting a triggering threshold value for different disease course stages so as to identify suspected events; a mixed consistency verification engine is combined with a medical prior rule and an ensemble classification model to carry out joint discrimination, and a consistency probability is output; and the individual parameters are optimized in cooperation with a hierarchical decision-making mechanism of the interaction module and online incremental learning of the adaptive learning module. Therefore, frequent false alarms caused by physical limitations such as inherent physiological delay and signal drifting of a CGM sensor and alarm fatigue and decline of compliance of a patient caused by the frequent false alarms are solved, and more stable and personalized dynamic blood glucose management support is provided for active people in the early stage of diabetes mellitus and the like.

The invention provides a dynamic response type cloud platform for chronic disease self-management, and relates to the technical field of artificial intelligence. Comprising the steps that physiological data of a user are collected in real time through a data collection module, health management suggestions are generated through a data analysis module, medical literatures and user feedback are integrated in combination with a knowledge graph module, and a personalized health management suggestion report is provided. The user interaction module realizes real-time data display and feedback, the feedback analysis module generates a user portrait, the data packaging module generates packaged data, and the large model reasoning module quickly updates a health management suggestion report. And the cloud infrastructure module ensures data storage security and access control, so that the health management experience of the user is improved.

The present invention, on the basis of a digital tombstone provided in a cemetery, provides information and content of the deceased through display, input, power source, detection and communication functions and enables visitor recognition, audio and video output, energy self-sustained operation and remote management. In addition, artificial intelligence is used to automatically generate and supplement family trees, genealogies and photo / video-based family relationship data, and memory-associated spaces and an avatar reflecting family characteristics are provided in a metaverse space so that a digital family legacy is continuously managed. Furthermore, emotion inputs and interactions are analyzed using an ethical judgement model so as to refine and block risky expressions, and a safe and reliable digital posthumous digital persona curation service can be provided.

The system according to this embodiment aims to provide individual learners with an optimal learning plan based on their MBTI diagnostic results, thereby supporting their learning motivation and self-management. [Solution] The system according to the embodiment comprises a reception unit, an analysis unit, a reminder unit, a monitoring unit, and a feedback unit. The reception unit receives MBTI diagnostic results. The analysis unit analyzes the MBTI diagnostic results received by the reception unit and provides a personalized learning plan. The reminder unit delivers periodic reminders based on the learning plan provided by the analysis unit. The monitoring unit monitors learning progress based on the reminders delivered by the reminder unit. The feedback unit provides feedback based on the learning progress monitored by the monitoring unit.

This invention provides a comprehensive platform that integrates 3D virtual tours with a multi-agent Al-driven system for enhanced user engagement, scalability, and autonomous management. The platform includes a 3D Virtual Tour Generator that captures and renders physical spaces into interactive, high-resolution 3D environments. A network of specialized Al agents - including a Platform Guide Agent, Customer-Specific Agents, Visitor Assistant Agents, Compliance Agents, and Engagement and Marketing Agents - drives the platform's interactive capabilities. These agents are powered by distributed knowledge bases, enabling them to provide context-aware assistance, real-time responses, and proactive user guidance. The platform supports self-management, allowing businesses to create and control their digital presence, including configuring Customer-Specific Agents. Additionally, agent-to-agent interactions facilitate continuous learning, platform maintenance, and improvement. The invention is designed for various applications, including real estate, education, tourism, and retail, offering a human-centric, scalable solution that enhances virtual tours and provides autonomous, high-quality information 24 / 7, reducing reliance on human guides.

A multi-tenant system stores tenant data for a tenant in a data space. The system receives a request from a user to generate an isolated workspace according to the tenant data stored in the data space. The user has non-administrative access control with respect to the data space of the multi-tenant system. The system, in accordance with receiving the request, provisions an isolated organization to the user, including establishing administrative access control for the user with respect to the isolated organization while maintaining the non-administrative access control for the user with respect to the data space. The computer system replicates at least a subset of metadata from the data space to the isolated organization. The subset of metadata is accessible to the user in the data space and describes a corresponding subset of data. The system stores, in the isolated organization, all components created in the isolated organization.

This invention relates to an analysis method based on campus card big data, comprising: acquiring a raw dataset within a preset period; cleaning and statistically analyzing the raw dataset to obtain a campus life behavior dataset usable for analysis; performing cluster analysis on two-dimensional data consisting of consumption frequency and total consumption; obtaining student consumption behavior characteristics based on the cluster analysis results; jointly analyzing the campus life behavior dataset and its effective data subset using the Apriori association rule analysis method; and obtaining student life trajectory behavior characteristics based on the association rule analysis results, providing meal preparation planning suggestions and dining recommendations for both canteen management and students. This invention provides students with a profile reflecting their life behavior characteristics, helping them with self-management and improvement, while also providing school management with suggestions for the overall management of the student living and learning environment and early warnings of potential problems, thus having more multi-dimensional and broader application scenarios.

The invention relates to the technical field of health science popularization education, in particular to a knowledge graph-based interactive science popularization platform for old-age common-disease health management scenes, which is characterized in that a main body adopts a four-layer three-terminal architecture system, and the four-layer architecture comprises a data layer, a knowledge layer, a scene interaction layer and an application layer. The system has the advantages of breaking through practical problems such as disease complexity, insufficient health education and information overload so as to improve the health quality and self-management ability of the co-sick elderly patients, and in the actual use process, through the use of a four-layer three-terminal architecture system, the form of traditional health science popularization is fundamentally changed, and the development of health science popularization is facilitated. The knowledge graph is utilized to integrate the segmented single disease knowledge into the associated network, so that the spanning from fragmented informing to systematic understanding is realized, the elderly user is helped to clear complex interaction among common diseases, precise and personalized health guidance is provided, and the learning effect and initiative of the elderly user are effectively improved.

This invention provides a self-management method, apparatus, device, and storage medium for a platform as a service (PAS), comprising: collecting key parameters of the PAS within a target period; performing an upgrade operation on the PAS when the CPU utilization or memory utilization is greater than a predefined alarm threshold; generating a comprehensive score of service profile parameters and an actual score corresponding to each type of service profile parameter within the target period according to preset rules when both CPU utilization and memory utilization are less than the predefined alarm threshold; performing an upgrade operation on the PAS when the comprehensive score is less than a predefined service profile threshold; and performing a downgrade operation on the PAS when the actual score of the throughput indicator is less than a predefined target threshold. This invention improves the performance of the PAS by modifying resource parameter configurations through upgrade or downgrade operations.

A method of programming a metering device (100, 300) with firmware comprising: assembling the metering device (100, 300), wherein the metering device (100, 300) comprises a memory (118, 308, 318, 332) and a processor (110, 310) executable to initiate programming of the metering device (100, 300) with the firmware, writing, to the memory (118, 308, 318, 332), a firmware database comprising a plurality of firmware images, each of the plurality of firmware images comprising a different firmware version and / or different configuration settings, receiving an input indicating which one of the plurality of firmware images from the firmware database should be used to operate the metering device (100, 300), and initiating, by the processor (110, 310), when the metering device 9100, 300) is connected to a power source and in response to the received input, operation of the metering device (100, 300) using the indicated one of the plurality of firmware images from the firmware database.

This invention discloses an intelligent system for the integrated management of coronary heart disease and oral health, belonging to the interdisciplinary fields of digital healthcare and chronic disease management. The key technical points are: the system includes modules for objective data collection, data quality control and cleaning, dynamic linkage analysis, plan generation, multi-terminal intervention guidance, and multi-dimensional effect evaluation. By integrating smart hardware, AI cameras, and medical scales, it jointly extracts the pathological, oral frailty, and psychosocial objective characteristics of coronary heart disease patients; constructs a multi-dimensional coupled correlation model to dynamically predict the association risk between acute cardiovascular events and local oral infections; and achieves closed-loop intervention through real-time guidance and multi-terminal collaborative mechanisms. This solves the problem of separate management of coronary heart disease and oral health in existing health management systems, realizing cross-system collaborative management, and achieving a leap from subjective education to objective digital therapy. It significantly improves the quality of self-management for elderly coronary heart disease patients in a home environment and effectively reduces the risk of adverse health outcomes.

The application relates to the technical field of healthcare informatization, in particular to a diabetes and pre-diabetes patient self-management system based on AI and CGM, which comprises the following steps: delaying and aligning CGM blood glucose flow and multi-modal physiological signals through a signal acquisition and synchronization module; dynamically adjusting a trigger threshold for different disease courses to identify suspected events by using an intelligent event trigger module; combining medical prior rules and an integrated classification model to perform joint discrimination by a hybrid consistency verification engine, and outputting a consistency probability; and cooperating with a hierarchical decision mechanism of an interaction module and online incremental learning of an adaptive learning module to optimize individual parameters. Therefore, the diabetes and pre-diabetes patient self-management system solves frequent false alarms caused by the inherent physiological delay, signal drift and other physical limitations of the CGM sensor, and the resulting patient alarm fatigue and decreased compliance, and provides more stable and personalized dynamic blood glucose management support for active people such as pre-diabetes patients.

A method for programming firmware into measuring devices (100, 300), comprising the step of assembling the measuring devices (100, 300), wherein the measuring devices (100, 300) include memories (118, 308, 318, 332) and executable processors (110, 310) for initiating firmware programming of the measuring devices (100, 300), and writing a firmware database containing multiple firmware images into the memories (118, 308, 318, 332). Each of the multiple firmware images contains a different firmware version and / or different configuration settings; it receives input from a firmware database indicating which of the multiple firmware images should be used to operate the measuring instrument (100, 300); and the processor (110, 310), in response to the received input, starts the operation of the measuring instrument (100, 300) using the designated firmware image from the firmware database when the measuring instrument (100, 300) is connected to a power supply.

Systems, devices, and methods are provided for processing data events in a datalake environment using data contracts. Techniques described herein may be utilized to decouple data acquisition from data ingestion to reduce dependencies within a data lake environment, reduce or need for coordination by data producers with downstream data consumers, and allow for self-manage their schemas through versioning.

A stroke recurrence risk assessment and personalized management method and system, the system comprises an application server, the application server comprises a database module, a recurrence risk dynamic prediction model module and a personalized management strategy generation module. The recurrence risk dynamic prediction model module is used to determine a long-term static risk index reflecting the inherent risk of the patient based on the clinical data stored in the database module, determine a short-term dynamic risk adjustment index reflecting the instantaneous risk contribution based on the dynamic feature sequence in the self-management data; by executing a risk coupling algorithm, the long-term static risk index and the short-term dynamic risk adjustment index are fused and calculated by using a weight coefficient to obtain a total risk index; the personalized management strategy generation module is used to convert the total risk index into a query vector, retrieve a matched guideline segment in a stroke management knowledge base; input the guideline segment as a constraint condition into a large language reasoning model to generate a personalized intervention scheme.

The embodiment of the present disclosure provides a kind of machine learning-based heart failure patient remote volume management method and system, comprising: collecting multi-source data, accurately identifying and nutrition analysis to diet image by deep learning model, combine the time trend analysis of physiological monitoring data and the professional evaluation of clinical test data, construct multilevel prediction model, realize the accurate prediction of volume overload risk;Automatic generation of graded warning information according to risk level, and matching individualized intervention scheme is pushed to mobile application terminal.The embodiment of the present disclosure can effectively improve the self-management ability of heart failure patients, realize early intervention of volume problem.

The invention discloses a wearable self-management system and method with emotion perception and task management functions, and relates to the field of intelligent wearing and personal health management. The system comprises a wearable device, a user terminal and a cloud server. The wearable device collects signals through a physiological sensor and carries out local emotion evaluation, an innovative task interaction unit directly manages preset tasks through physical keys, and state and emotion prompt feedback is provided through an LED lamp ring and the like. The user terminal is used for task configuration, and the cloud server performs intelligent analysis including association analysis, task dynamic adjustment analysis and habit recognition analysis, and generates a decision instruction to be issued to the equipment for execution. According to the method, deep closed-loop fusion of emotion perception and task execution is realized, self-adaptive task management and feedback based on real-time physical and mental states are provided for a user through minimum and interference-free hardware interaction design in combination with intelligence, and the task execution efficiency and the personal state management level are effectively assisted to be improved.