62 results about "Individual risk" patented technology

A method is disclosed for determining the prior net benefit of obtaining data relating to an individual risk in an insurance portfolio, via a survey or similar procedure. A risk model is developed at the individual risk level for mathematically estimating the probability of expected loss given a set of information about the risk. The risk model is incorporated into a profitability model. A probability distribution relating to the type of survey information to be obtained is developed, which is used for determining the gross value of obtaining the information. The method produces as an output a quantitative estimation (e.g., dollar value) of the net benefit of obtaining survey data for the risk, calculated as the gross value of the survey less the survey's cost, where the benefit of the survey relates to a quantitative increase in predictive accuracy resulting from incorporating the survey data into the predictive model.

A method and system that allows healthcare providers, hospitals, skilled nursing facilities and other persons to monitor disabled, elderly or other high-risk individuals to prevent or reduce falls and/or mitigate the impact of a fall by delivering automated notification of “at risk” behavior and falls by such an individual being monitored where assistance is required. The monitored individual is virtually represented as a blob object of at least a specific size by a computerized monitoring system and such system detects and alerts when the blob object enters or crosses into a virtually defined or designated blob detection zone and remains in the zone for at least a predetermined period of time.

A method of providing portability and conversion life insurance plans to departing employees is disclosed. The method comprises the steps of establishing risk parameters for pricing an insurance policy, collecting data regarding a departing employee's individual risk level upon termination of employment, assigning the departing employee a rating based on risk level, and offering a rate based on the departing employee's rating, where low-risk individuals pay a lower premium than do higher-risk individuals. The method results in the retention within the plan of low-risk individuals who might otherwise opt for another policy with a more competitive rate. Implementation of the method thereby creates a more favorable risk pool of insured individuals and represents a tremendous increase in efficiency compared to the way portability and conversion insurance programs are conventionally managed.

The invention discloses a disease prevention and health management method and system; the method comprises the following steps: multi-dimensionally collecting individual basic information; analyzing whether the individual has protruding disease danger factors or not according to collected basic information, and evaluating and predicting main disease risks caused by the disease danger factors if the analysis result is yes; determining whether the individual belongs to high risk population needing intervention or not according to the evaluation and prediction result, determining the danger factors needing intervention if the individual belongs to the high risk population, and predicting individual risk control compliance according to different danger factors; using VR technology to configure a corresponding disease threat perception scene for the individual with the predicted risk control compliance lower than a preset value, thus carrying out perception induction for the individual. The method and system can use VR scene technology to carry out disease danger perception induction for individuals, thus promoting behavior correction, and realizing disease prevention and health management.

The present invention relates to dispensation of health care, specifically to personalized management of an individual user's health care. The invention presents a method of integrating personal risk analysis of the user as well as the resources utilized by the health care industry, including insurers, medical services providers and manufacturers, care givers and other participants in the user's health care decision making. Utilizing various filters with specific and known health risk factors and user preference models for the individual consumer, the system and method of this invention provide comprehensive information, including products and services of interest to the consumer, user community or another one of interested parties listed above.

The embodiment of the invention provides a risk assessment model training method and device and a risk assessment method and device. In the training method, a batch of user samples are collected, eachuser sample comprises a user feature and a risk label, and the risk label is used for indicating a total risk score of a user and a plurality of individual risk scores corresponding to predeterminedrisk types. The feature coding layer is trained based on the user features of each user sample and the total risk score in the risk label to obtain a trained feature coding layer, and a feature codingresult of each user sample is obtained based on the trained feature coding layer. The comprehensive risk assessment layer is trained based on the feature coding result of each user sample and the total risk score in the risk label. For each single risk assessment layer in the single risk assessment layers, the single risk assessment layer is trained based on the feature coding result of each usersample and the single risk score of the corresponding risk type in the risk tag.

Provided are a method and apparatus for calculating a risk of cyber attacks, and, more particularly to a method and apparatus for calculating a risk of cyber attacks, by which the risk of cyber attacks is quantitatively calculated by analyzing cyber incident information associated with the cyber attacks. The method of calculating a risk, which is performed by a risk calculation apparatus, the method comprises acquiring cyber incident information associated with a risk calculation target attack, the cyber incident information including a plurality of pieces of individual cyber incident information and the plurality of pieces of individual cyber incident information being hierarchically configured, calculating an individual risk index of individual cyber incident information using a predetermined risk calculation criterion and a standard risk index according to the predetermined risk calculation criterion, calculating a level risk index by summing the individual risk indexes for each level of the cyber incident information and calculating a total risk index for the risk calculation target attack using a weight for each predetermined level and the level risk index.

The invention relates to novel markers of vascular inflammation and combinations thereof as diagnostic and prognostic tools in patients with cardiovascular diseases. The markers also act as tools that facilitate the selection of active ingredients for the treatment of such diseases, and finally act as starting points for the treatment of cardiovascular diseases. Furthermore, the invention relates to the creation of an individual risk profile of negative events that are associated with the progression of arteriosclerosis.

Described herein is a method for alerting of personal risk in the workplace through a wearable indication signifying a risk condition that includes generating a set of workplace predictors of risk relating to accidents, injury, and industrial hygiene, based on at least one worker state that includes at least one of a physical state, a cognitive state, and an emotional state, and alerting a worker endangered by a predicted elevated risk to the existence of the predicted elevated risk by sending a perceivable alert to the worker. A system for alerting of personal workplace risk is also described.

The invention relates to the technical field of risk analysis, and discloses an LNG (Liquefied Natural Gas) port safety risk evaluation system. The LNG port safety risk evaluation system comprises a system user management module and a work selection module, wherein the system user management module is used for user login and confidentiality functions; the work selection module is used for selecting analysis modules; the optional analysis modules comprise an individual risk analysis module and a social risk analysis module; the individual risk analysis module is used for analyzing and calculating individual risk values, drawing an integral individual risk distribution diagram and then outputting the integral individual risk distribution diagram in a drawing mode; and the social risk analysis module is used for analyzing and calculating the regional social risk, drawing a regional social risk diagram and then outputting the regional social risk diagram in a drawing mode. The LNG port safety risk evaluation system provided by the invention has the advantages that the quantitative risk analysis can be performed on an LNG multi-danger-source region and an LNG transportation navigation channel; the scientific support is provided for the LNG port region emergency capability configuration, region safety planning and layout work; and very important significance is realized on supervision department decision making, safe investment and benefit optimization, casualty and property loss reduction and the like.

A method of pattern recognition for classifying the functional status of patients with chronic disease comprising characterizing the functional status based on a multivariable index (MVI) scoring system wherein the MVI is computed by summing a plurality of individual variable values as individual variable indexes (IVI) and dividing the sum by the number of variables and wherein the plurality of IVI includes rest PetCO₂, ΔPetCO₂, SaO₂, QUES, V_e/VCO₂ slope and P_cap and wherein each IVI is given an equivalent value of <1.00 to >=4.00, the number increasing with increasing severity yielding an MVI value ranging from <1.00 to >=4.00, normal to severe-very severe.

The invention discloses a system for evaluating individual performance and capability of a public servant based on big data, which comprises an infrastructure layer, a network layer, a data storage layer, a business layer, a system platform layer and an application layer. Through carrying out flow data acquisition, cleaning, conversion and loading on each business system in the government, the data are inputted to a unified big data analysis platform, the individual capability and individual risk items are analyzed through a forward behavior analysis algorithm and a reverse behavior analysis algorithm preset in the data analysis platform for the public servant, unified performance and capability evaluation is realized, the whole set of system is reasonably designed, the processing efficiency is high, the real-time performance is strong, and the report reliability is high.