33 results about "One Health" patented technology

A device and associated computer-implemented method for obtaining a trained model for prediction of at least one risk score of a user for developing an abnormality with respect to a health status of the user, and to a device and associated method for assisting the user by providing at least one health-related instruction for improving a health status of the user, comprising using a trained model for prediction obtained by the device.

Embodiments of the present disclosure provide a context based health visualization system and method for a computing environment that indicates context-based health information for the computing resources of a computing environment. According to one embodiment, an Information Handling System (IHS) includes computer-executable instructions to identify a maintenance task that needs to be performed on a computing resource, classify the maintenance task according to one of a plurality of health contexts, and generate, using information associated with the maintenance task, a health context score for the one health context. The maintenance task may be one that impacts an overall health score of the computing resource. The instructions may then cause the IHS to display the health context score for view by a user.

Systems and methods are disclosed for determining at least one geographic region of a plurality of geographic regions, at least one data variable, and / or at least one health variable, estimating a current prevalence of a data variable in a geographic region of the plurality of geographic regions, determining a trend in a relationship between the data variable and the geographic region at a current time, determining a second trend in the relationship between the data variable and the geographic region at at least one prior point in time, determining if the trend in the relationship is irregular within a predetermined threshold with respect to the second trend from the at least one prior point in time, and, upon determining that the trend in the relationship is irregular within a predetermined threshold, generating an alert.

The present disclosure relates to a health care system for companion animals and a method of operating the same. The health care system according to one embodiment of the present disclosure includes a data collector for collecting lifelog data including basic information and biometric information about a user's companion animal; a self-diagnosis device for providing a plurality of questionnaire data to the user to perform self-diagnosis of the health condition of the companion animal and receiving feedback information reflecting a response of the user to the provided questionnaire data from the user; a health condition judgment device for judging the health condition of the companion animal based on the collected lifelog data and the feedback information; and a service determining device for determining at least one health care service to be provided to the user among a health coaching service and a medical service based on the judged health condition.

The embodiment of the specification provides a method, system and storage medium for detecting health status of an organization, comprising obtaining at least one health detection index item and enterprise data of a target organization, analyzing the enterprise data based on the at least one health detection index item, and determining at least one health detection index value of the target organization; obtaining a standard health detection index corresponding to the at least one health detection index value, and determining health assessment data of the target organization based on the at least one health detection index value and the corresponding standard health detection index; determining recommended learning content based on the health assessment data and the enterprise data; and determining a regular evaluation plan based on a preset method.

In one embodiment, a method comprising: (a) receiving a set of physiological data associated with at least one health condition of an animal subject; (b) receiving a set of environmental data associated with one or more environment conditions to which the subject is or has been exposed; (c) determining a set of operating parameters for at least one environmental device based at least partially on at least a portion of the set of physiological data and at least a portion of the set of environmental data; and (d) transmitting the set of operating parameters to the at least one environmental device to at least partially control at least one controlled environmental condition to which the subject is exposed to thereby at partially control the at least one health condition.

Evaluation of a health condition includes obtaining a correlation between dietary habits and health issues of a plurality of reference users. The correlation is determined based on reference patterns. Each of the reference patterns indicates temporal characteristics of at least one dietary habit and at least one health issue of a reference user of the plurality of reference users. A target pattern of a target user is determined at least in part based on a profile for the target user. The target pattern at least indicates temporal characteristics of at least one dietary habit of the target user. An evaluation of a health condition of the target user is generated based on the target pattern and the correlation.

The invention discloses a physical examination system based on medical data analysis, and belongs to the technical field of medical data processing and health management. The system comprises a data acquisition module which acquires user physical examination data including a user ID, physical examination time, a physical examination result and a physical examination basic index through an HL7FHIR protocol; the data integration module constructs a personal health basic archive set based on user physical examination data, and constructs a group disease factor model library containing n diseases and one health index mapping model through dynamic density segmentation processing; the intelligent analysis module performs similarity analysis on the user physical examination basic indexes and a group disease factor model library, generates a personal disease risk probability sequence and judges a risk level to obtain a user physical examination disease set; and the medical module matches a physical examination screening item scheme based on the user physical examination disease set and pushes the scheme to the physical examination user. According to the system, accurate risk assessment and targeted screening of diseases are realized, and the physical examination efficiency and the health management level are improved.

An method for load balancing session initiation protocol (SIP) registration requests using Cx health status includes monitoring, by an S-CSCF, at least one health parameter of a Cx interface associated with the S-CSCF. The method further includes determining, by the S-CSCF, a health category of the Cx interface associated with the S-CSCF based on the at least one health parameter. The method further includes sending, by the S-CSCF to an Interrogating Call Session Control Function (I-CSCF), an indication of the health category of the Cx interface associated with the S-CSCF. The method further includes load balancing, by the I-CSCF, SIP registration requests between the S-CSCF and at least one additional S-CSCF based on the received indication of the health category of the Cx interface associated with the S-CSCF.

The invention discloses a One Health-based crop disease and insect pest intelligent diagnosis system, which comprises a data acquisition module, a diagnosis prediction module, a prevention and control module, a data storage module and a man-machine interaction module, and comprises the steps of 1, acquiring a crop canopy image and farmland three-dimensional point cloud data, 2, carrying out in-situ monitoring and establishing a soil health index model, step 3, predicting the probability of disease and pest outbreak, step 4, triggering a corresponding prevention and control strategy according to a prediction result, and step 5, recording a prevention and control process and generating a traceability data chain. According to the method, a plant phenotype-microbiome-environmental factor ternary analysis framework is put forward for the first time, multi-source heterogeneous data feature level fusion is performed through a Transform model, cross-domain data deep fusion is realized, the diagnosis accuracy is effectively improved, meanwhile, a deep reinforcement learning adaptive learning mechanism is introduced into the system, a classifier is dynamically updated according to new pest and disease damage data, and the diagnosis accuracy is improved. And the manual annotation demand is effectively reduced.

The invention discloses a three-side-light ditch ecological purification and improvement system for farmland tail water treatment under a One Health vision field. The system comprises a ditch main body, the stepped filler layer is arranged along the side wall of the ditch main body; the plant community is planted on the filler layer; the water flow regulation and control device is arranged in the ditch main body; the water quality monitoring module is arranged at a water outlet of the ditch main body; wherein the filler layer comprises a gravel layer, a biochar layer and a zeolite layer which are sequentially laid from bottom to top; the water flow regulation and control device comprises a baffle, a guide rail, an intelligent lifting mechanism and a water flow sensor. The baffle slides up and down along the guide rail, the water flow sensor is installed in the middle of the baffle, and the intelligent lifting mechanism is connected with the baffle and the water flow sensor. The plant communities are sequentially planted on the filler layer from high to low according to plant heights; the water quality monitoring module is used for monitoring effluent quality; according to the invention, efficient purification of nitrogen, phosphorus, suspended solids and pesticide residues in the farmland tail water is realized.

Methods, systems, and devices include processing one or more inputs including at least one of patient-provided answers and device utilization information in association with at least one health domain, wherein the at least one health domain is associated with one or more chronic conditions, determining one or more states of a patient in association with the at least one health domain based at least in part on processing the one or more inputs, and storing information describing the one or more states in an electronic data record.

The embodiment of the invention provides a health recording method and device.The health recording method comprises the steps that a health recording area and a plan progress area are displayed on a health recording page, the health recording area comprises a record adding control corresponding to at least one health recording type, and the plan progress area comprises a plan progress information block; in response to a trigger operation on a target record adding control in the at least one record adding control, collecting health record information corresponding to the target record adding control, and constructing a health record information block according to the health record information; the health record page is updated to be a target health record page based on the health record information block, the health record information block is displayed in a health record area in the target health record page, and the updated plan progress information block is displayed in a plan progress area in the target health record page.

There is provided a method of classifying a biological status of an individual. The method comprising: obtaining a biological sample from a patient; obtaining health-related information from the patient, said information including patient gender; analysing the sample to identify a quantity of each of 2 or more endogenous analytes in the sample; comparing the analyte quantities to reference data from healthy individuals to classify the patient as healthy, pre-diseased, at risk of disease or diseased for at least one health-related condition. The reference data includes data derived from a group of biological samples of individuals having the same gender as the patient and not having a need for medical treatment for a disease or illness, each biological sample of the group of biological samples having been analysed by the same process as used to analyse the patient sample, the process being monitored to maintain a predetermined level of consistency.

The present disclosure relates to a system for evaluating health and wellness trends in an individual. The system includes one or more input devices to collect at least one health input from an individual and transmit the at least one health input to a computing device. The computing device receives the at least one health input from the individual. The computing device includes a processor and a device comprising a non-transitory storage medium encoded with instructions executable by a processor that cause the processor to: store the at least one health input in a memory; identify one or more relationships between the at least one health input and the general population data; determine when the one or more relationships indicate the individual may experience a health event; and generate an alert when the one or more relationships indicate the individual may experience a health event.

A system is provided for detecting and reversing an acute health condition, comprising: at least one wearable sensor configured to sense at least one health indicator of a user; a controller configured to receive signals from the at least one wearable sensor representing the at least one health indicator, the controller including an AI model trained to determine from the received signals whether the user is in an acute health condition; and at least one therapeutic device configured to deliver a treatment to the user in response to a determination that the user is in the acute health condition.

The application relates to the technical field of wearable devices, and discloses a health monitoring method and device, a head-mounted earphone and a health monitoring system. The method comprises the following steps: collecting the current temperature of a user wearing the device by a first collecting component, and determining a temperature change value at the current time according to the current temperature; collecting health influence data of the user wearing the device by a second collecting component when the temperature change value reaches a preset change threshold, wherein the health influence data comprises at least one of physiological data, electroencephalogram data and a facial image; taking the health influence data as an influence factor, adjusting the current temperature by the influence factor, and monitoring the health of the user wearing the device by the adjusted current temperature. Since at least one health influence data of the user is taken as an influence factor to adjust the temperature of the user, the measured temperature of the user can be prevented from being disturbed by other factors, so that the accuracy of health evaluation can be improved.

The invention discloses a One Health-based microplastic-pathogenic microorganism collaborative treatment device and an ecological restoration method, and relates to the technical field of environmental treatment and restoration, the device comprises an environmental pollution monitoring module, a pollution traceability and diagnosis module, a land-sea collaborative treatment module and a dynamic evaluation module; on the basis of the One Health concept, microplastics are selectively adsorbed through a functional magnetic nano material, pathogenic bacteria are cracked in a targeted mode in combination with T4 bacteriophage, efficient removal of the microplastics and efficient inactivation of the pathogenic bacteria are achieved, the regional splitting problem is solved through land-sea integrated design, the device integrates monitoring, traceability, treatment and evaluation links, and the device is suitable for large-scale popularization and application. A closed-loop optimization system is formed, full-chain treatment of pollutants from a land area to a sea area can be ensured, secondary pollution is avoided, in addition, the treatment reliability is improved through block chain data evidence storage and a dynamic adjustment mechanism, and multiple benefits such as environmental sustainability, health risk reduction and economical efficiency are achieved.

The invention discloses a farmland microorganism-plant interaction regulation and control system and method under a One Health perspective. The method comprises the following steps: acquiring plant attribute information and microbial community structure information; the plant attribute information and the microbial community structure information are analyzed, and the environmental pollution degree is judged; generating a microorganism-plant coordinated regulation scheme according to the environmental pollution degree; polluted plants are treated according to the microorganism-plant coordinated regulation and control scheme. According to the system, a farmer can automatically complete full-period treatment only according to prompt confirmation of the system, the technical threshold is lowered, and the popularization universality is improved.

Disclosed herein is a method for assessing the health of a user, the method performed by at least one processor configured to execute one or more programs stored in a memory, the one or more programs comprising instructions to obtain input data associated with the user, extract at least one characteristic associated with said input data, determine a health score based on variation of predetermined values, determine whether said health score satisfies a threshold associated with at least one health condition, generate a personalized message identifying at least one health condition, and provide said personalized message and said health score to an output device.

There is provided a method of classifying a biological status of an individual. The method comprising: obtaining a biological sample from a patient; obtaining health-related information from the patient, said information including patient gender; analysing the sample to identify a quantity of each of 2 or more endogenous analytes in the sample; comparing the analyte quantities to reference data from healthy individuals to classify the patient as healthy, pre-diseased, at risk of disease or diseased for at least one health-related condition. The reference data includes data derived from a group of biological samples of individuals having the same gender as the patient and not having a need for medical treatment for a disease or illness, each biological sample of the group of biological samples having been analysed by the same process as used to analyse the patient sample, the process being monitored to maintain a predetermined level of consistency.

The present invention is related to electronic health equipment, particularly with multifunctional systems for measuring health indicators. The object of the present invention is an intelligent health indicator measurement system that comprises a health indicator measurement unit, configured to acquire at least one health indicator from a user; a user identification unit, configured to acquire the user's identity; a central control unit, comprising processing means configured to associate the at least one health indicator acquired by the health indicator measurement unit with the user's identity acquired by the user identification unit through the execution of a two-factor authentication process. This solution allows for the measurement of health indicators to be securely, reliably, and authentically linked to a person's identity.

The present application relates to the technical field of medical care. Disclosed are a health monitoring device and method, and a storage medium. The device comprises: a microprocessor and multiple types of sensors, wherein: the microprocessor is configured to acquire a health detection instruction and, according to the health detection instruction, detect corresponding physiological indicators by means of one or more of the multiple types of sensors. The solution of the present application integrates multiple types of sensors on one health monitoring device, thereby achieving the effect of accurately detecting multiple physiological indicators with one single device.

An example operation includes at least one of receiving, from a vehicle, first data that is related to at least one health condition of one or more occupants in the vehicle as the vehicle travels on a current route to a destination, receiving, from the vehicle, second data related to a quality of the current route, determining one or more alternate routes to the destination based on the first data and the second data, determining a first ranking of health-related advantages to the one or more occupants of the one or more alternate routes, determining a second ranking of travel-related disadvantages, determining an alternate route of the one or more alternate routes when the first ranking is above a first threshold and the second ranking is below a second threshold, and routing the vehicle to the alternate path.

In one embodiment, a method comprising: (a) receiving a set of physiological data associated with at least one health condition of an animal subject; (b) receiving a set of environmental data associated with one or more environment conditions to which the subject is or has been exposed; (c) determining a set of operating parameters for at least one environmental device based at least partially on at least a portion of the set of physiological data and at least a portion of the set of environmental data; and (d) transmitting the set of operating parameters to the at least one environmental device to at least partially control at least one controlled environmental condition to which the subject is exposed to thereby at partially control the at least one health condition.

A system for scheduling a patient for a medical procedure in a healthcare facility, the system comprising: an electronic medical record specific to a patient, wherein the electronic medical record comprises a diagnosis code and at least one health history code; a database of anticipated procedural times for a diagnosis code; and a processor for: (i) analyzing an electronic medical record for a patient for a diagnosis code; (ii) determining a medical procedure to be performed on the patient; (iii) using the database of anticipated procedural times to determine the anticipated procedural time for the medical procedure to be performed on the patient; (iv) analyzing the electronic medical record for the patient for a health history code of the patient; (v) adjusting the anticipated procedural time for the medical procedure to be performed on the patient to a modified procedural time based on the health history code of the patient; and (vi) scheduling space in the healthcare facility for the medical procedure based on the modified procedural time.

Techniques, including receiving sensor data generated by sensors at a vehicle, processing the sensor data to determine at least one health condition of a user of the vehicle, and responsive to determining the at least one health condition, performing a vehicle function selected from a plurality of vehicle functions based on the at least one health condition, are described for screening and monitoring health of a vehicle user.

The invention relates to a device (4) for accessing a restricted access area or a controlled access area, comprising a support (8) comprising a disposable part (24) and a retainable part (26), a sensor (10) carried by the disposable part (24) and configured to measure at least one health parameter of a subject and to deliver a detection signal representative of the measured value of each health parameter, an access control stage (18) carried by the retainable part (26) and configured to store access information dependent on the detection signal delivered by the sensor (10), the retainable part (26) being mechanically separable from the disposable part (24) so as to form an access key allowing access or otherwise entering the restricted access area or the controlled access area dependent on the access information.

The invention discloses an underground pipe drainage system suitable for pollution reduction and yield increase of coastal farmland under the One Health concept, and relates to the technical field of agricultural drainage, the underground pipe drainage system comprises a soil information monitoring module, a meteorological data access module, an intelligent decision module, a multi-layer composite filter material structure and a drainage pipe network system; the method breaks through the treatment bottleneck of dry season salt return and rainy season waterlogging of coastal farmland salinized soil, establishes a soil salt-water-fertilizer coordinated regulation model, accurately matches the crop water demand law, realizes the double targets of water and salt discharge and non-point source pollution control under the One Health idea, not only reduces the soil improvement cost, but also prolongs the service life of the concealed conduit, and improves the soil quality. And meanwhile, the total nitrogen load of agricultural recession is reduced, the content of organic matters in soil is increased, the conductivity of underground water is reduced, the cooperation of saline soil improvement, resource conservation and ecological protection is realized, and a technical support is provided for sustainable development of coastal agriculture.

The invention provides a computer case health monitoring system and method based on a distributed module, is applied to an electronic equipment computer case comprising a plurality of functional board cards, and relates to the technical field of computer hardware monitoring and fault prediction.The system comprises a main health management module in communication connection with a main management CPU of the computer case, the main management CPU is used for receiving and executing an instruction of the main management CPU, summarizing health state parameters acquired from the health management module and reporting the summarized health state parameters to the main management CPU; at least one slave health management module, each slave health management module is deployed on an independent to-be-monitored function board card, and is used for collecting at least one health state parameter of the corresponding function board card; and the system bus is connected with the master health management module and all the slave health management modules to form a distributed communication network. According to the invention, the technical problems of scattered monitoring, poor real-time performance, weak expandability and difficulty in fault positioning existing in the health monitoring mode of the board card in the case of the electronic equipment in the prior art are solved.