Early Warning Services, LLC

General Electric Company

James H Kaufman

Xuan Liu

Ajay Ashok Deshpande

Laura E Weinflash

Simone Bianco

Vishrawas Gopalakrishnan

Ravi Loganathan

Raman Srinivasan

Ronald Scott Alcorn

Sandra Letterly

Sayali Navalekar

Kun Hu

Pan Ding

Jiang Hsieh

Robert F Senzig

Bijan Dorri

Jacob O Miller

George Sirbu

Sarah Kefayati

Ujwal Reddy Moramganti

Eugne Lino Saragnese

J Eric Stahre

Mechanisms are provided to hypothetical scenario evaluations with regard to infectious disease dynamics based on similar regions. A user definition of a hypothetical scenario for a target region is received which specifies scenario features affecting an infectious disease spread amongst a population within the target region. Other predefined regions, in the set of predefined regions, having similar region characteristics to the target region are identified and attributes of the other predefined regions corresponding to the scenario features are identified. Modified model parameter(s) for an infectious disease computer model are derived based on the identified attributes. An instance of the infectious disease computer model is configured with the modified model parameter(s) and the instance is executed on case report data for the target region to generate a prediction for an infectious disease spread in the target region according to the hypothetical scenario, which is then output.

Hypothetical scenario evaluation in infectious disease dynamics based on similar regions

Mechanisms are provided for compartmental epidemiological computer modeling based on mobility data. Machine learning training of an isolation rate prediction computer model is performed to generate a trained isolation rate prediction model that predicts an isolation rate of a biological population. Isolation data is received which comprises data indicating a measure of mobility of the biological population. The trained isolation rate prediction model is executed on input features extracted from the isolation data to generate a predicted isolation rate. A compartmental epidemiological computer model, comprising a plurality of compartments representing states of a population with regard to an infectious disease, is executed to simulate a progression of the infectious disease and flows of portions of the population from between compartments in the compartmental epidemiological computer model are controlled based on the predicted isolation rate.

Controlling compartmental flows in epidemiological modeling based on mobility data

Account data (e.g., balance information) for accounts at a plurality of financial institutions (or government agencies) is stored (and updated) in a central database system and accessed using a personal identifier, such as a social security number. Risk data may be generated for accounts based on the account data. The account data and risk data are accessed in response to either an account search request (e.g., from a government entity and relating to a benefits program or a subpoena) or an account verification request (e.g. from a mortgage company and relating to a mortgage application).

System and method to search and verify borrower information using banking and investment account data and process to systematically share information with lenders and government sponsored agencies for underwriting and securitization phases of the lending cycle

Methods and apparatus for x-ray imaging with focal spot deflection are provided. The apparatus includes an x-ray tube having a cathode configured to emit electrons and an anode having a target with a target surface defining a target angle. The emitted electrons are deflected onto the target surface with the target surface substantially aligned with a z-axis parallel to a gantry rotation axis.

Methods and apparatus for x-ray imaging with focal spot deflection

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San Jose, CA, United States of America

James H Kaufman