54 results about "Self-management" patented technology

The invention relates to a digital chronic disease intelligent management platform based on an AI model and multi-dimensional data fusion, clinical diagnosis and treatment data, wearable equipment monitoring data, medication record data and environment monitoring data are acquired through a data acquisition module, and after standardized preprocessing is performed through a data fusion processing module, deep analysis is performed through an AI analysis module, and the data fusion processing module performs data fusion processing; in combination with medical knowledge of the knowledge base module, the intelligent decision-making module generates a personalized management scheme, and the personalized management scheme is implemented through the intervention execution module and the intelligent interaction module. Multi-dimensional health data are processed through an AI large model, a complex mode and an association relationship are automatically learned, and accurate disease prediction and risk assessment are realized; the pertinence of the scheme and the compliance of a patient are greatly improved; and real-time interaction and personalized guidance are provided, the participation degree and the self-management ability of the patient are effectively enhanced, and a benign health management cycle is formed.

Disclosed is a system for providing personalized self-medication, onboarding, training and improving medication adherence. The system includes a patient computer system comprising at least one processor and at least one memory component: a display, an optional input device, and an optional pointing device, a server connected to the patient computer system by a network link, the server comprising at least one processor and at least one computer readable medium wherein at least one computer readable medium comprises instructions that when executed by at least one processor, cause at least one processor to perform acts comprising: (i) responsive to patient input data, producing a patient personalized assessment; (ii) formulating a customized intervention for the patient based on the patient input data and / or personalized assessment; and (iii) presenting the patient personalized assessment and / or customized intervention on the display.

The invention discloses an English word memorizing system based on a memory curve, and the system comprises a login module which is used for carrying out registration and login operation, obtaining personal information, and recommending learning contents and plans; the learning module is used for executing a learning and memorizing process and recording a learning progress and a memorizing condition; the memory curve updating module is used for generating an initial memory curve and dynamically updating memory curve parameters; the plan generation module is used for automatically generating a personalized review plan; the review module is used for regularly sending review reminding according to the review plan; and the feedback module is used for obtaining feedback and suggestions of the user and carrying out optimization and improvement. According to the method, the review time is intelligently arranged based on the memory curve, the natural law of human memory and forgetting is followed, the learning content and the review plan are customized according to the individual difference of learners, the learning motivation is enhanced, the learners are endowed with more autonomy, the self-management and self-driving capabilities are cultivated, and a foundation is laid for lifelong learning.

The invention relates to the field of health management, and discloses a health propaganda and education method and system based on an intelligent system, and the method comprises the steps: collecting environment data and multi-dimensional health data of a service object, and creating a scene perception layer; generating a causal relationship chain by using a preset Bayesian network optimization algorithm; determining an adaptive propaganda and education opportunity of the service object based on the health state and the scene type; constructing a self-management scoring device of the service object, and generating personalized propaganda and education contents of the service object; and creating a multi-scene collaborative propaganda and education platform of the service object and a corresponding effect evaluation system thereof. According to the invention, multi-scene collaborative propaganda and education can be realized, and targeted health propaganda and education contents are provided.

The invention relates to the technical field of medical diagnosis, and particularly discloses a pregnant woman self-management ability evaluation and analysis management method, which comprises the following steps: providing a module of related knowledge points of gestational diabetes in pregnant woman terminal equipment or application, and enabling a pregnant woman to learn and test through the module to obtain the mastering condition of the pregnant woman on knowledge; real-time monitoring is carried out through a pregnant woman terminal device or application, and health data and daily management feedback of a pregnant woman are collected regularly; comprehensively calculating the self-management ability level of the pregnant woman according to the health data and the knowledge mastering condition by utilizing a machine learning algorithm, and outputting an evaluation result; the health data and daily management feedback of the pregnant woman are collected in real time, the health change of the pregnant woman can be continuously monitored, the self-management effect of the pregnant woman can be reflected in time, the knowledge mastering condition and the health data of the pregnant woman are comprehensively analyzed through a machine learning algorithm, the self-management ability of the pregnant woman is accurately evaluated, and the self-management efficiency of the pregnant woman is improved. Weak links in the management process are identified, and personalized optimization suggestions are provided.

The invention discloses a hemodialysis patient home management system based on an informatization technology, and relates to the technical field of medical informatization, and the system comprises the following components: a data collection and analysis module which collects the information of vital signs, dialysis data, diet intake and living habits of a patient in real time through a wearable device and an intelligent home sensor, according to the method, a decision tree algorithm is utilized to predict dialysis requirements and complication risks, a linear regression model is combined to predict dialysis effects, scientificity and effectiveness of a dialysis scheme are effectively improved, a Q-learning algorithm is introduced to dynamically adjust the dialysis scheme, and the dialysis efficiency is improved. The treatment strategy is continuously optimized according to the real-time feedback of the patient, the comfort of the patient is improved, the long-term effect of dialysis treatment is remarkably improved, the workload of medical staff is relieved, and the self-management ability of the patient is enhanced.

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 discloses a 3D holographic image knowledge base interactive playing method for diabetic education, and the method comprises the steps: firstly obtaining patient data of a hospital HIS system and a wearable device, and carrying out the classification, preprocessing and data fusion, thereby obtaining an encrypted standardized data set; and then multi-dimensional feature groups are extracted, knowledge base education contents are matched, and a personalized scheme is generated. And carrying out structural processing on the scheme, constructing a 3D model and a scene resource library, rendering the scheme into a holographic image format, optimizing the scheme, and outputting a material set. And then configuring a calibration material set, scheduling and playing, realizing immersive learning, and generating interaction data and feedback information. And finally, evaluating a learning effect by combining clinical indexes, and dynamically updating and optimizing the knowledge base. By means of 3D holography and multi-mode interaction, intuition, interactivity and individuation of diabetic education are improved, and the self-management ability is enhanced.

The invention relates to the technical field of old-age service management, in particular to an integrated old-age service management system based on end-cloud collaboration, and aims to solve the problems that in the prior art, multi-source data of physical signs, medication and living habits cannot be integrated to predict the health change trend, abnormal fluctuation of four high cannot be perceived in advance, short-term risks cannot be pre-judged, and the service quality is poor. And a personalized intervention scheme cannot be formulated in combination with reinforcement learning. Multi-source data of physical signs, medication and living habits are integrated through the chronic disease management module, LSTM is used for predicting the health change trend, four-high abnormal fluctuation is perceived in advance, short-term risks are pre-judged, a personalized intervention scheme is formulated in combination with reinforcement learning, diet and exercise suggestions and medication reminding are covered, and the system has the advantages of being simple in structure and convenient to use. User compliance is improved by outputting custom prompts through natural languages, the system forms a complete closed loop, the system is suitable for long-term management of diabetes and hypertension diseases, the risk of acute events is reduced, and the self-management ability of patients is enhanced.

The invention relates to an unattended system of a sulfur acid-making device and an operation method, and the unattended system comprises five subsystems, namely an intelligent acquisition system, an intelligent identification system, an intelligent evaluation system, an intelligent decision-making system and an intelligent execution system. Various technologies such as equipment, operation, process, automation and information are further integrated, and autonomous capabilities of links such as acquisition, identification, evaluation, decision making and execution are established, so that requirements of dimensions such as quality, quantity and time outside the system and interferences such as environment change, unreasonable operation and market fluctuation can be autonomously responded; and meanwhile, the internal integrity and stability can be self-managed, the factory is promoted to reduce human intervention to the greatest extent, and transition to the unmanned direction is realized.

The utility model provides an intelligent ring. The intelligent ring comprises a first shell, a control module, a power supply assembly and a flexible contact part, wherein the first shell comprises a first contact part and an upper shell, and the first contact part and the upper shell are mutually clamped to form an internal space. The power supply assembly, the control module and the sensor assembly are located in the internal space, and the power supply assembly is connected with the control module and the sensor assembly. The sensor assembly portion is exposed relative to the first contact portion. The two ends of the first shell are respectively connected with different flexible contact parts to form an arc-shaped structure, so that the appearance of the ring is of a semi-closed C-shaped structure, and the intelligent ring can flexibly adapt to different finger sizes of different users. Meanwhile, the health condition and the like of the user can be monitored through a sensor assembly arranged in the intelligent ring, and the user can conduct more simple and convenient self-management on various parameters of the user through the intelligent ring.

The invention discloses a user self-management system embedded with a seasonal allergic rhinitis expert database, and belongs to the technical field of big data health management, and the system comprises an expert database construction module which is used for constructing an expert database; the model supervised training module is used for supervising and training the IMB intervention model; the engine connection establishing module is used for establishing engine connection, and the role permission and the index matrix have a corresponding relation; the data formatting module is used for receiving the rhinitis data, identifying and carrying out semantic analysis, and converting and determining formatted data; the guidance information determination module is used for user guidance information; and the user self-management module is used for carrying out terminal visual display on the user guidance information and carrying out user self-management. According to the method, the problem of how to provide targeted guidance according to the seasonal environment variable and the user state to realize effective self-management of the user is solved.

According to one embodiment, a method for providing a metaverse health platform service for non-personal diagnosis and self-management is provided by a device, wherein the method comprises the following steps: capturing, when a health condition of a first patient is measured by a health condition measuring device provided in a diagnostic booth, measurement information generated by the first patient's health condition measurement device; determining, based on the measurement information, whether non-personal treatment is required for the first patient; and performing a control action when it is determined that non-personal treatment is required for the first patient.so that a message instructing the wearer of an output device is issued to a diagnostic booth; performing a control when it is verified that the first patient is wearing the output device, so that a first list, which is a list of medical personnel responsible for the first treatment item, is displayed on the output device; performing a control when the first medical person is selected from the first list by an operating device when the first patient is wearing the operating device, so that a screen of a first virtual room, in which a treatment room of a first medical person is implemented as a metaverse environment, is displayed on the output device to allow the first patient to connect to the first virtual room; performing a controlwhen a movement within the first virtual space is requested by the operating device, such that a point where the first patient is located in the first virtual space is changed, and the screen of the first virtual space is displayed on the output device with the changed point as a center change, and performing a control when it is checked that the first medical person is connected to the first virtual space, so that the measurement information is displayed in the first virtual space, and performing a control so that a non-personal treatment is carried out between the first patient and the first medical person in the first virtual space.

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 invention provides a sidecar mode communication method and communication system based on a divide-and-conquer idea, and belongs to the technical field of communication. The method is applied to communication between equipment hosts, the equipment hosts comprise a first equipment host and a second equipment host which communicate with each other, and the first equipment host and the second equipment host are respectively provided with main service processes which are independent from each other and a message bus service process used for communicating with an external equipment host. The main business process is communicated with the message bus service process in a side vehicle mode, the main business process is used for processing various applications of equipment, and the message bus service processes of the first equipment host and the second equipment host are communicated with each other through a message bus. The method has the beneficial effects that each machine is self-managed, and peer-to-peer connection between equipment is realized by utilizing deployment of a side vehicle mode and bus service, so that the communication reliability and performance of the equipment are improved.

Techniques are disclosed for scheduling workloads in an information processing system. For example, a method comprises maintaining, in a set of nodes managed by a manager node, a scheduler in at least one node, wherein the scheduler is configured to self-manage execution of at least one workload by at least one execution unit instantiated on the node. While not limited thereto, the disclosed techniques are well suited for scheduling microservices in pod-based computing environments.

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.

The invention discloses an NMOSD-based one-stop self-management method and system, and a computing device, and the method comprises the steps: obtaining a patient data set which comprises the personal information, clinical features, iconography performance, laboratory indexes and medication records of a patient; according to the patient data set and the recurrence risk factors, obtaining a recurrence risk index and a corresponding risk level of the patient; according to the recurrence risk index, the corresponding risk grade and the NMOSD treatment guide, determining a personalized drug treatment and follow-up visit plan of the patient; and displaying the personalized drug treatment and follow-up visit plan in a visual mode. According to the method, the risk rule set is added to the C4.5 decision tree, and the feature values of the patient data set are preferentially sorted according to the Gini impurity reduction and the risk rule set, so that the accuracy and efficiency of patient self-risk assessment are improved, and the self-management level of the patient is improved.

The invention discloses a cholecystitis patient health science popularization education system, and relates to the technical field of medical health science popularization education, and the technical key points are that the system comprises the following modules: a user interaction layer used for the login, registration, science popularization content display, interaction function and feedback channel of patients and medical personnel; the business logic layer is responsible for processing business processes of the system and comprises a content recommendation algorithm, an interaction mechanism and feedback processing; the data management layer is used for storing and managing data of the system, including popular science content, user information and interaction records; and the external interface layer interacts with an external system and a platform, and the external system does not open but is not limited to a social media platform and a medical database. Through interesting, interesting, interactive and personalized science popularization contents and education modes, the health knowledge level of the cholecystitis patient is improved, the self-management ability and treatment compliance of the patient are enhanced, the incidence rate of cholecystitis is reduced, and the overall effect of health science popularization education is improved.

The application discloses an unattended system and a running method of a sulfur-burning sulfuric acid plant, which comprises five subsystems, namely, an intelligent acquisition system, an intelligent identification system, an intelligent evaluation system, an intelligent decision system and an intelligent execution system. By further integrating various technologies such as equipment, operation, process, automation and information, the self-automation capability of links such as acquisition, identification, evaluation, decision and execution is established, the system can autonomously respond to the requirements and environmental changes of external quality, quantity and time dimensions, unreasonable operation and market fluctuations, and can also self-manage the integrity and stability of the system, so that the plant can reduce human intervention to the maximum extent and transition to unmanned.

The invention relates to a self-management low-power-consumption sleep and wake-up exception handling method based on an Android system, and the method comprises the following steps: a kernel power management module is created in a kernel layer, the kernel power management module is used for detecting the power state of the Android system and starting a power management service program, and the power state comprises a sleep state, a wake-up signal and a heartbeat signal; the kernel power management module detects dormancy and wake-up signals through a GPIO (General Purpose Input / Output) state; when the ACC signal is turned to off, the power management service program starts the system to sleep; when the ACC signal becomes on, the power management service program wakes up the system and recovers heartbeat detection; and if the heartbeat signal is not received within the specified time, the power management service program actively restarts the Android system. According to the method, the problem of dependence of the MCU in the prior art is solved, and meanwhile, the flexibility and reliability of the system are improved.

The invention provides an internet-based lymphedema patient self-management support system and method, and belongs to the technical field of data processing, and the method specifically comprises the steps: determining a distribution processing scheme of medical staff when a patient sees a doctor based on the coincidence data and doctor seeing data of each patient in an online doctor seeing period, and carrying out the self-management of the patient on the basis of the distribution processing scheme; and when it is determined that the idle condition of the medical staff does not meet the requirement, whether the patient needs to be subjected to allocation optimization processing or not is determined according to the doctor-seeing matching condition of the patient not seeing the doctor and the medical staff in the idle state based on the allocation processing scheme of the patient, so that the self-management manual can more accurately reflect the demand of a user when being updated.

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 belongs to the field of chronic pain early warning, and particularly relates to a multi-mode pain early warning method for chronic pain. Multi-dimensional and multi-level patient information is used as a chronic disease diagnosis starting point, hospitals and home personal mobile devices of all layers are used as information collection media, an internet chronic disease cloud database is combined, chronic disease patient archive management is carried out, and AI auxiliary screening and health risk intelligent analysis and prediction are achieved. According to the invention, a novel chronic pain management mode is established by means of new-generation information technologies such as mobile internet, cloud computing and big data; meanwhile, self-management of the patient is assisted through a novel chronic pain management mode, and pre-judgment of chronic pain is improved.

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.