International Business Machines Corporation

Jacob O Miller

Matthew Michael Pohlman

Douglas S Meil

Robert W Shields

Anil K Jain

Jason R Gilder

Xuan Liu

Ajay Ashok Deshpande

Simone Bianco

Vishrawas Gopalakrishnan

James H Kaufman

Raman Srinivasan

Sayali Navalekar

Kun Hu

Pan Ding

Peter A Fellowes

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

A system links data objects for common entities across source systems and includes at least one processor. The system compares data objects within each of a plurality of source systems to identify data objects associated with corresponding common entities. The identified data objects for each common entity within each of the plurality of source systems are linked to form a group of data objects for each common entity. The groups of data objects for each of the common entities are compared across the plurality of source systems to identify groups of data objects associated with common entities. The identified groups of data objects for common entities are linked across the plurality of source systems to form a set of data objects for each corresponding common entity. Embodiments of the present invention further include a method and computer program product for linking data objects for common entities across source systems.

Hierarchical association of entity records from different data systems

A system links data objects associated with a common event and includes at least one processor. The system compares data objects associated with an entity and corresponding to a plurality of events for the entity, wherein the data objects are stored within a plurality of different source systems. Candidate data objects associated with a common event for the entity are identified based on the comparing. The candidate data objects are linked to form a set of data objects representing the common event for the entity. Embodiments of the present invention further include a method and computer program product for linking data objects associated with a common entity.

Linking entity records based on event information

Resolving conflicting data among data objects associated with a common entity includes assigning an ordered sequence of data analysis processes to a corresponding data field of a plurality of data objects associated with a common entity. At least two of the data objects include different values for the corresponding data field, and each data analysis process performs a different technique to resolve conflicts between different values of data. The ordered sequence of data analysis processes is executed to determine a consensus value to serve as a value for the corresponding data field of each of the plurality of data objects. The data analysis processes are successively executed in the ordered sequence until the consensus value is determined for the corresponding data field.

Resolving conflicting data among data objects associated with a common entity

A system links data objects associated with a common entity and includes at least one processor. The system compares data objects within one or more source systems to identify candidate data objects associated with a corresponding common entity based on information within those data objects. The candidate data objects are analyzed based on supplemental temporal information within the one or more source systems pertaining to the candidate data objects to determine resulting data objects associated with the corresponding common entity. The resulting data objects are linked to form a set of data objects for the common entity. Embodiments of the present invention further include a method and computer program product for linking data objects associated with a common entity.

Association of entity records based on supplemental temporal information

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Cleveland, OH, United States of America

Jacob O Miller