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.

A novel transcriptomic biomarker for prognosis in heart failure has a direct clinical application in prediction of prognosis in new onset heart failure, heart disease, heart disorders and associated heart conditions. This approach should improve individualization of cardiac care and help identify patients at highest risk for circulatory collapse within the first years of presentation with heart failure.

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.

Proposed is a system and method for forecasting frequencies associated to future loss and loss distributions for individual risks of a plurality of operating units (30) with at least one measurable liability exposure (31) by means of independently operated liability risk drivers (311-313), and for related automated operation of a loss resolving unit (40) by means of a control unit controller (10). In case of an occurring loss at a loss unit (20, . . . , 26) measure parameters are measured and transmitted to the control unit controller (10). The control unit controller (10) dynamically assigned the measure parameters to the liability risk drivers (311-313) and tunes the operation of the loss resolving unit (40) by resolving the occurred loss by means of the loss resolving unit (40).

The invention provides a risk analysis and layout optimization system for a chemical industry park. The system comprises a chemical industry park major hazard source accident prediction module, a regional trend aggregate risk analysis module and a trend layout optimization module; the chemical industry park major hazard source accident prediction module is used for predicating the probability of occurrence of accident and presenting the accident consequence; the regional trend aggregate risk analysis module is used for carrying out risk analysis on personal risk, social risk and property risk, and then calculating regional aggregate risk, namely, currency characteristic and weighted stack risk; and the trend layout optimization module is used for optimizing the functional area layout, the firefighting layout and the traffic layout in the park. The system not only can be used for realizing the work of analyzing the regional risk of the chemical industry park needing to the completed urgently, but also can be used for providing a technical support for industry park layout optimization decisions, thereby being a powerful measure for realizing intrinsic safety of the industry park, preventing accident, and avoiding and reducing accident loss.

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.

The invention discloses an anti-fraud solution method and system. The method includes: obtaining sample feature information; constructing a complex network and calculating network attributes, whereinthe complex network comprises a first network and a second network; the first network takes the ID card number as a node and establishes a connecting edge between different ID card numbers with the same ID card attribute; the second network takes the ID card number and the ID card attribute as nodes, and each ID card number and each ID card attribute owned by each ID card number are respectively set up with connecting edges; the network attributes include association strength, user similarity, user bridge point value, and / or attribute bridge point value; the attribute of ID card includes communication telephone, bank card information and so on; according to the preset rules of network attribute and label system, obtaining the first part of the blacklist by putting corresponding risk labelson each ID card and ID card attribute respectively. The invention can accurately and effectively identify gang risk, individual risk, black intermediary and batch attack behavior and the like, thereby effectively reducing fraud rate.

Systems and computer-implemented methods for determining overall risk modification indicative of an amount by which an overall risk associated with a plurality of threats is modified by implementing a combination of security controls are disclosed. A computer-implemented method includes receiving a plurality of individual risk modification amounts. Each individual risk modification amount corresponds to a corresponding security control of the combination of security controls and a corresponding threat of the plurality of threats. Each individual risk modification amount of the plurality of individual risk modification amounts is indicative of an amount by which a risk associated with the corresponding threat is modified by implementing the corresponding security control. The method further includes determining, automatically by a computer, the overall risk modification amount based on the plurality of individual risk modification amounts.

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.

A method and computer program for evaluating the sustainability of a permanent life insurance policy involves helping a user choose a type of insurance policy that is appropriate by asking the user a series of questions relating to the person's risk and management preferences. A confidence factor is determined for an insurance policy's funding premium, wherein the confidence factor indicates a probability that the policy will sustain until a user-selected age, such as the age of one hundred. The confidence factor is determined by applying parameters of the user's policy to one thousand trial illustrations developed using performance information from actual portfolios over the last forty years, and reporting a percentage of the trial illustrations that sustained through age one hundred. If the confidence factor is unacceptably low, the user adjusts the premium and / or an investment allocation scheme to generate a new confidence factor. The confidence factor can be generated for a new policy or for an in-force policy.

The invention discloses an individual diabetes mellitus prediction model which comprises the following contents of, firstly, recording information of a tested object per se; secondly, converting acquired information to model access data; thirdly, substituting a calculation system according to a model information conversion result; and fourthly, calculating the morbidity probability, and judging disease risks. The individual diabetes mellitus prediction model can well distinguish a diabetes mellitus high risk population, carry out life style interference on the high risk population as early as possible, better prevent or delay occurrence of diabetes mellitus, and has large public hygienics significance and a great economic value. Therefore, the invention aims to establish a diabetes mellitus individual disease risk prediction model which is efficiently suitable for Chinese populations, and for communities, outpatient departments and even residents, diabetes mellitus disease risks of an individual in future n years can be obtained by filling relative information according to needed danger factor information.

The invention discloses a three-dimensional evaluation method for the risk of an urban gas buried pipe network system. The method comprises: determining a basic parameter index in the urban gas buried pipe network system; calculating the failure probability of a leakage hole and individual mortality caused by poisoning or explosion according to the basic parameter index when a leakage accident occurs; calculating a corresponding individual risk value based on the failure probability of the leakage hole and the individual mortality caused by the poisoning or explosion; and drawing a buried pipe individual risk three-dimensional field contour surface based on the calculated individual risk value. The method may superpose multiple risk sources and obtain personal risk values under multiple risk sources.

The invention provides combinations of multiple genetic single nucleotide polymorphism sites related to individualized medication of statins and application thereof. The combinations specifically comprise combinations of multiple genetic single nucleotide polymorphism sites respectively related to individual risks of coronary heart diseases, individual sensitivity to pharmacological action of statins on lowering of cholesterol (LDL-C) and individual susceptibility to adverse reaction of statins. The invention also provides a detection method directed at the combinations of the single nucleotide polymorphism sites and application of the combinations to construction of three-dimensional detection apparatuses and assessment and treatment apparatuses used for predicating and assessing individual risks of coronary heart diseases and statin intervention earnings, sensitivity to pharmacological action and dosage adjustment, and susceptibility to adverse reaction and management and control.

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 discloses an infectious disease data monitoring and processing method and system. The method includes the following steps that: the data information of a specific infectious disease is acquired, wherein the data information includes the historical data of individual infected time during an infectious disease outbreak in a health file; a group monitoring set is constructed; the individual risk indicators of individuals are calculated based on the historical data of the individual infected time, the individuals are sequenced from high to low risks, and are sequentially selected, each monitoring set contains N individuals, and M monitoring groups are built and are adopted to constitute the group monitoring set; and when it is detected that the proportion of a population affectedwith the specific infectious disease in any one monitoring group exceeds a set warning value, an early warning against the specific infectious disease is issued. According to the method and system provided by the invention, the historical data are analyzed; on the basis of the constructed analysis index modules, the early monitoring of and the early warning against the infectious disease can be realized; and therefore, sensitivity to infectious disease outbreaks can be improved, and the prevention and treatment of the infectious disease can be facilitated.

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.

The invention relates to a quantitative regional risk calculation method of a chemical park. The method combines the characteristics of the chemical park and the traditional quantitative regional riskassessment model, the gridding method is adopted to reduce the computational complexity of the model, and the domino effect of the accident is taken into consideration. The personal risk value and social risk value of the grid center are calculated by using the risk superposition principle, and finally the personal risk value and social risk value of other regions in the grid are obtained by interpolation method and discrete method. The method of the invention has the characteristics of openness, flexibility, low computational complexity and the like.

A communication campaign manager can be configured to assist academic administrators to communicate effectively with students. The campaign manager can be configured to assess student risk for each of a plurality of individual students based on various factors, which may include demographic information, financial aid information, and academic information about the students. The campaign manager can assign students to different quadrant prioritizations based on their individual risk scores. The campaign manager also can assign a weighting to different forms of communication or communication channels, based on various risk factors. The campaign manager can use such information to generate a communication campaign for administrators to use in communicating with students, which can help to improve student engagement and academic success.

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, Ve / VCO2 slope and Pcap 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.