SYSTEMS AND METHODS FOR EVENT STREAM PLATFORMS WHICH ENABLE APPLICATIONS
First Claim
1. In a Medical Information Navigation Engine, a computerized method for generating a final event stream, the method comprising:
- collecting medical information from a plurality of data sources;
parsing the medical information;
normalizing the medical information;
indexing the medical information to generate an initial event stream;
semantic meta-tagging the event stream; and
iteratively processing the event stream to generate a final event stream, wherein the processing includes at least one of first order logic querying and knowledge extraction to infer at least one additional event which is added to the event stream.
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Accused Products
Abstract
Systems and methods to generate a final event stream are provided. The system collects information from a wide variety of sources, and then parses, normalizes, and indexes the information. This generates an initial event stream that can be tagged and then iteratively processed to generate a final event stream. The processing includes first order logic querying and knowledge extraction to infer additional events which is added to the event stream. The final event stream is used by a knowledge exchange for consumption by applications. These applications may be internal applications and/or third party applications. This system may be particularly useful in use with medical information, or any other big data enterprise system.
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Citations
19 Claims
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1. In a Medical Information Navigation Engine, a computerized method for generating a final event stream, the method comprising:
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collecting medical information from a plurality of data sources; parsing the medical information; normalizing the medical information; indexing the medical information to generate an initial event stream; semantic meta-tagging the event stream; and iteratively processing the event stream to generate a final event stream, wherein the processing includes at least one of first order logic querying and knowledge extraction to infer at least one additional event which is added to the event stream. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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10. A computerized method of generating an event stream comprising:
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extracting knowledge from a data source, using a processor, to generate a set of events, wherein each event includes a subject, evidence used to infer the event, a fact that was inferred from the evidence, a start date of the event, an end date of the event, an episode level grouping, the source of the event, type of the event, named values, a snippet of the source, an event classification, and expiry information; and iteratively processing the plurality of events by agents to expand the set of events.
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11. A medical information system for generating a final event stream comprising:
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a data pipeline, including a processor, configured to collect medical information from a plurality of data sources, parse the medical information, normalize the medical information and index the medical information to generate an initial event stream; and a knowledge extractor configured to tag the event stream, and iteratively process the event stream to generate a final event stream, wherein the processing includes at least one of first order logic querying and knowledge extraction to infer at least one additional event which is added to the event stream. - View Dependent Claims (12, 13, 14, 15, 16, 17, 18, 19)
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Specification