41 results about "Risk screening" patented technology

The invention provides a factory environment risk screening method used for controlling a plurality of abandoned factories with high environment risk. The method comprises: generating a preliminary factory environment risk grade evaluation sorting list through a first risk evaluation module according to environment risk data of each abandoned factory; and after performing an environment site evaluation operation according to a priority of the sorting list, updating actual execution and environment current state data of the factories, and generating a grade evaluation survey list better meeting environment risk current states of the abandoned factories through a second risk evaluation module as a basis for subsequently controlling the abandoned factories.

The present invention provides a nutritional system-based risk screening method and an artificial intelligence device. The method includes: collecting patient information of a target patient from a third-party software system based on a nutritional screening robot, and navigating and positioning the nutritional screening system based on the patient information. The inspection robot goes to the patient bed; based on the nutritional screening robot, it interacts with the real patient in the corresponding patient bed for nutritional screening; according to the work results, the risk status of the real patient is determined, and the corresponding nutritional assistance is provided, and at the same time, it is transmitted to the corresponding display end display. Intelligent screening by robots can simplify the nutrition consultation process, speed up patients' medical treatment, solve the problem of low efficiency caused by the relative lack of medical manpower, and reduce the workflow of medical staff.

The present invention provides a method and system for chronic kidney disease risk screening, and specifically relates to machine learning methods to construct a chronic kidney disease risk screening model, including establishing an effective chronic kidney disease risk screening model, sorting out user data to be screened, and User data is substituted into the chronic kidney disease risk screening model for model calculation, and finally the result of kidney disease risk is obtained. In this way, a high-efficiency, low-cost, and high-accuracy chronic kidney disease risk screening system can be realized. The invention uses machine learning BP neural network, XGBoost and random forest integrated algorithm to train the chronic kidney disease risk screening model, which can automatically screen according to the basic body measurement information, symptom information, medical examination information, family history, past history, living habits and other data. To identify high-risk groups of chronic kidney disease, the accuracy rate is as high as 0.96 or more.

The invention provides a factory environment risk screening method used for controlling a plurality of abandoned factories with high environment risk. The method comprises: generating a preliminary factory environment risk grade evaluation sorting list through a first risk evaluation module according to environment risk data of each abandoned factory; and after performing an environment site evaluation operation according to a priority of the sorting list, updating actual execution and environment current state data of the factories, and generating a grade evaluation survey list better meeting environment risk current states of the abandoned factories through a second risk evaluation module as a basis for subsequently controlling the abandoned factories.

The invention discloses a method for screening a sub-synchronous resonance risk based on series compensation effect coefficients in the technical field of electric power system operation and control. The method comprises the steps that (1) according to a multi-machine alternating current system with a series compensation alternating current line, all electric generators are equivalent to a series branch of a power source and an inductor; (2) according to the well equivalent multi-machine alternating current system in the step (1), an instant three-phase short circuit ground fault is triggered on the series compensation alternating current line, and when the multi-machine alternating current system recovers the steady state, CIF values of series compensation effect coefficients of the electric generators are calculated; (3) if the CIF value of the series compensation effect coefficient of one electric generator is larger than or equal to a TCIF value, the sub-synchronous resonance risk exists in the electric generator; if the CIF value of the series compensation effect coefficient of the electric generator is smaller than the TCIF value, the sub-synchronous resonance risk does not exist in the electric generator. According to the method, the calculated amount is small, the amount of information required for calculation is small, and the electric generator with the sub-synchronous resonance risk can be effectively and accurately judged.