136 results about "Relative risk" patented technology

The present invention relates generally to the field of improvement in the driving risk assessment arts. More particularly, but not by way of limitation, the present invention generally relates to a method of rating the driving risks of individuals based on that driver's actual driving record as obtained from his or her fellow drivers.

A system and method for defining the value of a corporation by its categories of values, and determining the risk profile of the corporation by the relationship between the categories of value, termed the “Risk Signatures.” The system provides for the determination of the “Relative Values” of corporate enterprises, with the capability of dynamically monitoring and measuring the financial performance of an enterprise through the use of artificial intelligence and data mining techniques.

A computer system-based automated loss verification system for evaluating the validity of claims filed under an insurance policy or debt protection contract is provided by this invention. Instead of requiring the claimant to contact the insurance company or lender to file the claim and provide exhaustive documentary proof of the validity of the claimed loss, the system pre-scores the relative risk of the claim using a risk assessment tool based upon predictive modeling and a number of potential risk factors. The associated automated loss verification tool uses this risk score and other information connected with the claim to assign a relative confidence level of proof of valid loss that must be satisfied before the claim can be approved through the adjudication process, and assigns a third-party supplied source or combination of sources of proof that can be automatically accessed by the system to validate the claim.

An integrated risk management tool includes a persistent object database to store information about actors (individuals and/or groups), physical surroundings, historical events and other information. The risk management tool also includes a decision support system that uses data objects from the database and advanced decision theory techniques, such as Bayesian Networks, to infer the relative risk of an undesirable event. As part of the relative risk calculation, the tool uses a simulation and gaming environment in which artificially intelligent actors interact with the environment to determine susceptibility to the undesired event. Preferred embodiments of the tool also include an open “plug-in” architecture that allows the tool to interface with existing consequence calculators. The tool also provides facilities for presenting data in a user-friendly manner as well as report generation facilities.

An overall cyber security risk diagram is generated from a hierarchy of determined KPI's by combining a Procedures and Protocol KPI determined from values assigned to answers to questions presented to organization personnel implementing a control systems, with a Group Security Policies KPI that is determined from system-wide policy information and settings of the automation system by an automated processing device tool, and a Computer Settings KPI determined from device setting data collected from individual system devices by the automated processing device tool and relevant to cyber security. The device setting data comprises service areas unique to each device that are not assessable by review of the domain data collected and used to determine the Group Security Policies KPI. Each level of the hierarchy of determined KPI's may be used to generate a representation of relative risk of a cyber-security attribute.

A method and system for calculating pipeline integrity business risk score for a pipeline network is provided. The method includes a step of first calculating a structural risk score, an operational risk score and a commercial risk score for each pipeline segment in a pipeline network. The method further includes calculating pipeline integrity business risk score for each pipeline segment. The structural risk score, operational risk score, commercial risk score and pipeline integrity business risk score for each pipeline segment is rolled-up to calculate the respective risk scores of a pipeline network. The rolled-up risk scores are calculated by computing weight factors for each pipeline segment, relative risk scores weight of each pipeline segment and relative risk scores contribution of each pipeline segment. The system of the invention comprises executable files, dynamic linked libraries and risk score computing modules configured to display the risk scores using a dashboard.

Mediums, apparatus, computer program code, and means may be provided to evaluate relative risks based at least in part on source inputs received via a distributed communication network by an automated back-end application computer server. According to some embodiments, the server may access a data store containing electronic files associated with a set of entities to retrieve, for each of a plurality of the entities in the set of entities, electronic files associated with that entity. The server may also retrieve structured data elements, unstructured data elements, and external, third-party data elements for that entity. The server may then execute an automated risk model to assign a risk score to that entity based on the electronic files, the structured data elements, the unstructured data elements, and the external, third-party data elements for that entity and transmit indications of the risk scores for the plurality of entities.

A method, system, and program product for managing one or more business solutions is provided. One or more candidate business solutions, each of which has a corresponding set of resource requirements and a corresponding business value that is based on a risk and an expected return are used to generate a set of proposed business solutions that maximizes a total value while remaining within a set of resource constraints. In this manner, business decisions regarding particular business solutions to implement can be made with an understanding as to relative risk and/or a total value that will be provided to a business entity.

A method for high throughput screening of probes is described. These probes are useful for characterization and measurement of unbound metabolites in a fluid sample, particularly characterization and measurement of levels of unbound free fatty acids. By practice of the disclosed invention, a profile of unbound metabolites can be determined for an individual which can be used to determine the individual's relative risk for disease such as stroke, cardiac disease and cancer.

The invention provides a fuel gas pipeline risk assessment method based on Mu model. The method comprises the following steps: (1) dividing a fuel gas pipeline into sections; (2) classifying parameters causing pipeline risk and distributing weightings according to the degree of impact of each parameter on the pipeline risk; (3) through the parameters and weightings of the step (2), carrying out risk assessment of each factor for the pipeline and working out an exponential sum; (4) calculating the fuel gas pipeline leakage influence coefficient according to the risk and influence surface of a conveyance medium; (5) working out a relative risk value integrally according to the exponential sum of the step (3) and the leakage influence coefficient of the step (4);(6) analyzing the relative risk value obtained in the step (5) to obtain a risk conclusion. The invention adjusts the factor weightings of the Mu model risk assessment and is provided with the fuel gas leakage influence coefficient to be computed, thereby bringing about more adaptability and more accurate and reliable assessment results.

The invention discloses a road traffic flow-based method for estimating central city PM2.5 in real time. The method comprises the following steps: firstly, dispersing a traffic road pollution source into point pollution sources at fixed intervals by using real-time monitor data of road traffic flow of a central city; then estimating a PM2.5 pollution exposure relative risk value of the central city based on a source characteristic geographically weighted receptor air pollution exposure estimation model provided by the invention; finally, carrying out regression modeling on PM2.5 pollution exposure relative risk values and observed concentration values at a position of a PM2.5 monitoring station in the central city; and estimating a real-time PM2.5 concentration at any space position point in the central city by using the constructed regression model. The method is invented to estimate the real-time PM2.5 concentration at any space position point in the central city accurately and efficiently, under the condition that currently PM2.5 high-density distributed point observation is difficult to implement in the central city.

A processing device in one embodiment comprises a processor coupled to a memory and is configured to generate access profiles for respective user identifiers, to obtain data characterizing a current access for a given one of the user identifiers, to extract a plurality of features from the data characterizing the current access for the given user identifier, and to generate feature risk scores based on the extracted features and the access profile for the given user identifier. The processing device is further configured to aggregate the feature risk scores into a composite risk score. The aggregation illustratively comprises weighting the feature risk scores as a function of their relative levels of riskiness. The composite risk score is compared to a threshold, and an alert is generated relating to the current access based on a result of comparing the composite risk score to the threshold.

The invention discloses a method for dynamically grading major hazard sources of liquid chemicals in a storage tank region of a petrochemical wharf. The method comprises the following steps: creating an accident consequence model of the major hazard sources of the liquid chemicals in the storage tank region of the petrochemical wharf and calculating a major hazard source injury index; taking the major hazard source injury index as initial data for grading the major hazard sources and performing standardization calculation; initially grading the major hazard sources of the liquid chemicals; continuously adjusting the grades of all the hazard sources on the basis of initial grading by a cluster analysis principle and outputting a grading result until reasonable grading. The method has the effects of accurately reflecting a relative risk relationship among various hazard sources when the storage capacity is changed, effectively solving the current situations of simple and fixed grading standards of the major hazard sources and high subjectivity and generality of the grading result, guaranteeing the real-time variability of the grades of the major hazard sources, and setting protection grades corresponding to the conventional control measures and safety technical means of the production enterprises of the petrochemical wharf.

The present invention provides a computer-based system for evaluating risk in asset backed securities (ABS) comprising: a database containing data associated with an asset pool of an ABS; a computer having a processor for executing software and being adapted to establish a communication link with an external provider of electronic data and to receive a first data set associated with an asset pool of an ABS, the first data set including credit score data related to the asset pool; and a migratory pattern predictive model application executed by the processor and adapted to analyze at least a part of the first data set, including the credit score data, and to determine a rating concerning the relative risk associated with the ABS.

The invention provides a method for predicting risks of orthopedic operation of old people. The method comprises the following steps of primarily collecting physiology risk data and operation risk data of a patient from historical data; by studying complication or not and death or not in the result, performing dichotomy Logistics regression analysis on the collected data, and performing x2 inspection and t inspection analysis on single factors; screening the physiology risk factor and operation risk factor which obviously affect the complication generation rate and death rate; using the screened physiology risk factor and operation risk factor as variables, and obtaining a risk parameter predicting model by a multi-factor Logistics regression analysis predicting method; according to the predicting model, predicting the main dangerous factors related with the death and complication after operation, and the corresponding relative risk degree value. The method has the advantages that the method is used for predicting the complication generation rate and death rate of the old patient after orthopedic operation; the more accurate predicting model is realized, and the effect of predicting the orthopedic operation of the old patient is greatly improved.

The invention discloses an urban oil and gas pipeline major accident risk early warning and assessment method, and belongs to the technical field of pipeline risk early warning and assessment. The method comprises the steps that a factor set is determined according to risk factors in the pipeline operating process; weight matrixes of all levels of factor indexes are determined by the use of an interval analytical hierarchy process relative scalar quantity method; risk assessment is conducted on the indexes, so that a warning degree division result is obtained; and risk assessment results of various factors are obtained on the basis of risk quantity indexes, and relative risk values are calculated through the combination of leakage influence coefficients. According to the urban oil and gaspipeline major accident risk early warning and assessment method, a kent pipeline risk assessment method and a risk early warning method are combined, and therefore the purposes that the pipeline warning degree is judged, and an early warning response is conducted can be achieved on the basis of risk assessment of all risk factor warning omens and overall consideration of the pipeline accident occurrence probability and the consequence severity.

A method for assessing aspirin resistance and relative risk of a cardiovascular event in a patient taking aspirin is provided. The concentration of 11-dehydro-thromboxane B2 in a urine sample is measured and compared to a set of standardized quartile concentrations. A concentration of urinary 11-dehydro-thromboxane B2 that falls within the second, third, or fourth quartile is indicative of aspirin resistance and an elevated risk of a recurrent cardiovascular event.

A method for high throughput discovery of proteins fluorescently labeled at a cysteine residue and that undergo a change in fluorescence ratio at 2 wavelengths upon binding an unbound analyte is described. Probes are disclosed which are labeled at a cysteine residue and also probes labeled at both cysteine and lysine with two different fluorophores. These probes are useful for characterization and measurement of hydrophobic species in a fluid sample, particularly characterization and measurement of levels of unbound free fatty acids. A profile of unbound free fatty acids can be determined for an individual which can be used to determine the individual's relative risk for disease.

A self-customizing, multi-tenanted mobile system includes digitally gathering and disseminating real-time visual intelligence on utility asset damage enabling automated priority analysis and enhanced utility outage response. A preferred embodiment may be made up of, for example, communication module (102) to transfer geo-coded damage imaging and associated metadata simultaneously from multiple outage-causing damage locations to dispatchers and operations personnel in the utility control room and in the field. A mobile application (101) is installed onto the first responder's Global Positioning System (GPS) enabled mobile device (104) to send metadata to a multi-tenanted intelligent platform (MTIP) (106). MTIP (106) determines which utility tenant receives the damage report and customizes all aspects of the technical solution: the first responder mobile application (101), the central web portal (103) and the damage viewing application for utility field personnel (110). A central web portal (103) running on a control room personal computer running a Javascript capable browser or similar environment (105) receives geo-coded damage imaging and associated metadata from mobile application (101) via the MTIP (106) which automatically analyzes event location, relevance and severity to compute, recommend and communicate event priority. MTIP (106) further analyzes inbound images using computer vision technology and wire geometry algorithms to determine relative risk and event priority of downed wires. The multi-tenanted intelligent platform (106) is used to store outage-causing damage information and perform damage assessment enabling dispatchers to respond appropriately. A preferred embodiment enables external users—specifically municipal first responders (fire, police and municipal workers) to report outage-causing damage to the electric grid and provides a simple, easily deployable and secure system. The system then uses location, severity and role-based rules to dynamically notify appropriate utility personnel (112) via text message, email notification or within the damage viewing application on the field personnel's mobile device (110) so they are best able to respond and repair the damage. A preferred embodiment also speeds and improves communication between municipalities and utilities, and enhances the transparency of utility damage repair leading to outage resolution.

An internet transaction analysis system and method are disclosed. The system comprises a processing unit and a data communication arrangement, the processing unit being arranged to receive, via the data communication arrangement, data on a transaction, the transaction being associated with internet activity at a remote user terminal, the processing unit being arranged to apply a plurality of checks to the data on the transaction, generate a value for a risk metric in dependence on the results of the checks and cause an indicator on the relative risk of the transaction to be output at the user terminal, the indicator of the relative risk being determined in dependence on the value for the risk metric.

An electronic notification protocol using both proprietary and open-source architecture to improve emergency search outcomes and enhance the probability of locating a missing person by privately registered system users and emergency support personnel. A series of electronic, copyrighted database files and forms support and expedite both the registered data files and the required communication workflow via standard computer networks and mobile peripheral devices. An electronic mapping component is also utilized to depict the most likely elopement locations based upon historical statistics and proprietarily integrated algorithms, while specific signage icons can be embedded into the electronic mapping grid to identify relative risk scenarios surrounding the most probable elopement locations. The application core is a system of integrated web services and proprietary software coding dictating data authentication, access, logic, configuration, user interface control, third party data translation, and relational communications. A historical tracking log also provides real-time communication updates to registered participants.

A system and method implements video capture technology, in combination with computer program engines and proprietary algorithms to capture, analyze and objectively score human movement, and to identify, differentially diagnose and assess the root causes of observed pathokinematic (pathological movement) patterns. The system calculates demographic risk of injury and compares with identified movement issues to determine potential performance issues and associated relative risks for the subject. Specific, individualized corrective measures or interventions are selected and targeted to the individual and his or her movement patterns, to improve those pathokinematics. The result is decreased likelihood of certain types of lower extremity injuries, faster and more effective rehabilitation, the reduction of movement related pain, and significant improvement on specific performance based metrics used in activities and professions requiring athleticism, and quality measurement of the quality of normal “activities of daily living.”