US2021064630A1PendingUtilityA1

Data structures for storing and manipulating longitudinal data and corresponding novel computer engines and methods of use thereof

Assignee: MDCLONE LTDPriority: Jun 27, 2018Filed: Aug 10, 2020Published: Mar 4, 2021
Est. expiryJun 27, 2038(~11.9 yrs left)· nominal 20-yr term from priority
Inventors:Luz Erez
G16H 50/70G06F 16/285G06F 16/2228G16H 10/60G06F 16/22G06F 16/316G06F 16/2477G06F 16/909G06F 16/284G06F 16/367G06F 16/252
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Claims

Abstract

In some embodiments, the present disclosure provides for an exemplary computer-implemented system that may include a longitudinal data engine, including: a processor and specialized index generation software to generate: an index data structure for a respective event type associated with each respective subject or object; where each respective index data structure is a respective event type-specific data schema, defining how to store events of a particular event type to form longitudinal data of each respective subject or object; an ontology data structure that is configured to describe one or more properties of a respective event of a respective subject or object; and longitudinal data extraction software to extract a respective longitudinal data for a plurality of index data structures and a plurality of ontology data structures associated with a plurality of subjects or objects.

Claims

exact text as granted — not AI-modified
What we claim is: 
     
         1 . A system comprising:
 at least one longitudinal data engine, comprising:
 at least one processor; 
 specialized index generation software;
 wherein, when executing the specialized index generation software, the at least one processor at least generates:
 i) at least one index data structure for a respective event type associated with each respective subject or object; 
 ii) at least one ontology data structure that is configured to describe one or more properties of a respective event of a respective subject or object; and 
 
 
 longitudinal data extraction software;
 wherein, when executing the longitudinal data extraction software, the at least one processor extract a respective longitudinal data for a plurality of index data structures and a plurality of ontology data structures associated with a plurality of subjects or objects.

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