11 results about "Health problems" patented technology

The application discloses a medical question abstract generation method and device based on a reorderer, a storage medium and an electronic device, and belongs to the fields of artificial intelligence and natural language processing.The technical problem to be solved by the application is to automatically generate a short abstract for a long patient health problem.The technical scheme adopted is as follows: ① a medical question abstract generation method based on a reorderer, the method comprising the following steps: S1, constructing a medical question abstract generation dataset;S2, constructing and training a medical question abstract generation model;S3, constructing and training a reorderer model;S4, using the medical question abstract generation model and the reorderer model for reasoning.② a medical question abstract generation device based on a reorderer, the device comprising: a medical question abstract generation dataset construction unit, a medical question abstract generation model construction and training unit, a reorderer model construction and training unit, and a medical question abstract generation model and reorderer model reasoning unit.

A computer-implemented method is disclosed. The method includes receiving, at a computing device, a first treatment plan designed to treat an invasive surgical-related health issue of a user. The first treatment plan comprises at least two exercise sessions that, based on the invasive surgical-related health issue, enable the user to perform an exercise at different exertion levels. Next, while the user uses the electromechanical machine to perform the first treatment plan, receiving, at the computing device, data from sensors configured to measure the data associated with the invasive surgical-related health issue and transmitting the data. One or more machine learning models are used to generate a second treatment plan. The second treatment plan modifies at least one exertion level, and the modification is based on a standardized measure comprising perceived exertion, the data, and the invasive surgical-related health issue. The method additionally includes receiving the second treatment plan.

The application discloses a chicken health discrimination method, device, equipment and storage medium, which comprises the following steps: acquiring the crop physical state characteristic data and excrement chemical component characteristic data of a target chicken, and associating the two based on the individual identity of the target chicken; and performing differential discrimination according to the crop physical state characteristic data. The application realizes the detection of various health problems by detecting the crop physical state characteristics and the chemical component characteristics in excrement, and the differential discrimination mechanism can accurately distinguish the health problem types of the chicken, thereby providing more targeted decision basis for breeders. In addition, the application can discover abnormalities in the digestion stage after the chicken eats by monitoring the physical state (fullness, hardness, etc.) of the crop and the chemical components of the excrement in real time, and the time point of health intervention is advanced, and the time delay is low.

The present invention relates to a cooling garment, and more particularly, to a cooling garment that, when simply worn on the body of a worker in a special environment such as a construction site, industrial facilities, agriculture, etc., prevents heat stroke, dehydration, fatigue, and other health problems caused by an increase in body temperature in summer, prevents discomfort and skin diseases caused by the wetting of a work garment by sweat, and not only that, maintains a comfortable environment even in hot weather in daily life, sports, or outdoor activities, and further, prevents a decrease in concentration and fatigue accumulation caused by a long-term increase in body temperature, thereby ensuring the safety and physical activity efficiency of a user.

This utility model discloses a multi-station nut-making machine for welding square nuts, including a grinding box with a grinding cavity inside. A clamping box is fixedly connected to the bottom of the grinding cavity, and a clamping assembly is provided inside the clamping box. Electric telescopic rods are symmetrically installed on the top of the grinding cavity. The output end of the electric telescopic rod is fixedly connected to a moving plate. A grinding motor is fixedly installed on the moving plate, and a grinding shaft is provided at the output end of the grinding motor. The grinding shaft passes through the moving plate and is fixedly connected to a grinding wheel. A dust-collecting assembly is provided between the grinding wheel and the moving plate. The dust-collecting assembly can collect the dust and debris generated during the grinding process, effectively preventing dust and debris from affecting the grinding effect and efficiency, and ensuring a clean welding interface, thereby improving the subsequent welding strength and durability. At the same time, it avoids the operator from being affected by respiratory diseases and other health problems.

We provide the system. [Solution] A means of receiving health information entered by the user, A means for analyzing the received health status information and identifying predicted health problems, A means of presenting appropriate medical actions to the user based on the identified health problem, A means of guiding users to appropriate medical facilities based on their location information, A means of sending information to a server using a secure protocol and generating a notification based on the analysis results, A system that includes this.

This invention discloses a health risk early warning method based on consumer behavior feature offset. It first extracts consumption features from users' consumption orders, then compares these features with the user's historical baseline to determine the feature offset, and finally determines the health risk level based on the feature offset. This method utilizes non-invasive data monitoring to achieve long-term, imperceptible health monitoring based on user consumption behavior, enabling earlier detection of health problems such as cognitive impairment or decreased self-care ability.

This application provides a personalized rehabilitation nursing method and terminal device based on ecological instantaneous assessment. The method includes: acquiring the patient's historical health information, wherein the historical health information includes the patient's real-time contextual information and ecological instantaneous assessment feedback information at multiple moments over a past period, and the real-time contextual information includes time information and / or the patient's location information; determining health prompt information matching the current health information based on the historical health information and the patient's current health information, wherein the current health information includes the patient's real-time contextual information and / or ecological instantaneous assessment feedback information, and the health prompt information includes notification information of potential health problems the patient may encounter at the current moment and / or self-intervention information for health problems; and outputting the health prompt information. This method can respond to the patient's nursing needs in real time and accurately, improving the timeliness and accuracy of rehabilitation nursing.

The garment, equipped with pressure sensors, electrical pulse generators, accumulators and a control unit, and adjustable via an app to the wearer's individual needs, detects the lying position and, using the electrical pulse generators, sends corresponding impulses to the wearer when they are lying on their back or in an unsuitable, unhealthy and unwanted lying position, in order to prevent or suppress, for example, the occurrence of rhonchopathy when lying on the back. The same applies to wearers of the garment who, for example due to health problems, should not remain in a particular lying position, or not for extended periods. Here, too, specific lying positions are communicated to the wearer via electrical impulse transmitters through preset settings, allowing them to change their position.

The invention discloses a multi-factor coupling root cause positioning method and system based on a health problem forming path, and relates to the technical field of medical health data processing, and the method comprises the specific steps: obtaining multi-source data through a medical health big data platform, carrying out the standardized integration and alignment, recognizing a health problem, and generating structured information; then modeling by stages to construct a health problem time sequence knowledge graph; anchoring data by using an algorithm and coupling and analyzing influence factors; mining markers, and calculating confidence to generate a root cause set; and finally, outputting a result according to confidence, associating information and linking online and offline intelligent diagnosis and treatment ecology. According to the method, multi-dimensional health data are integrated, a time sequence knowledge graph is constructed, and accurate anchoring of the data is achieved; health factor effects are determined through time sequence coupling analysis, early warning markers are mined, and root cause positioning reliability is improved; and multi-element association and quantitative standards are also established, multiple platforms are connected, accurate reference is provided for medical decision making, and development of a health diagnosis and treatment system is promoted.