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

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.

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. 
   
     
     
         2 . The system of  claim 1 , further comprising:
 a generation module,
 wherein the generation module is configured to generate each of a population of subject and a population of objects. 
   
     
     
         3 . The system of  claim 1 , further comprising:
 a generation module,
 wherein the generation module is configured to generate at least one of a population of subject and a population of objects. 
   
     
     
         4 . The system of  claim 3 , wherein the generation module is configured to generate the at least one population based on extracted data. 
     
     
         5 . The system of  claim 4 , wherein the generation module is configured to generate the at least one population based on the extracted data relating to a particular event. 
     
     
         6 . The system of  claim 2 , wherein the population of objects comprises at least one of cars or factories. 
     
     
         7 . The system of  claim 6 , wherein the population of objects is based on sequential events data. 
     
     
         8 . The system of  claim 6 , wherein the population of objects comprises both of cars and factories. 
     
     
         9 . A method comprising:
 providing at least one longitudinal data engine, comprising:   providing at least one processor;   providing specialized index generation software;   operating, by the processor the specialized index generation software, to generate generates:
 i) at least one index data structure for a respective event type associated with each respective subject or object; and/or 
 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 
   providing longitudinal data extraction software;   operating, by the processor, the 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.   
     
     
         10 . The method of  claim 9 , further comprising:
 providing a generation module; and   operating the generation module to generate each of a population of subject and a population of objects.   
     
     
         11 . The method of  claim 9 , further comprising:
 providing a generation module; and   operating the generation module to generate to generate at least one of a population of subject and a population of objects.   
     
     
         12 . The method of  claim 11 , wherein, during at least one of the foregoing steps, the generation module generates the at least one population based on extracted data. 
     
     
         13 . The method of  claim 12 , wherein, during at least one of the foregoing steps, the generation module generates the at least one population based on the extracted data relating to a particular event. 
     
     
         14 . The method of  claim 13 , wherein the population of objects comprises at least one of cars or factories. 
     
     
         15 . The method of  claim 13 , wherein the population of objects is based on sequential events data. 
     
     
         16 . The method of  claim 13 , wherein the population of objects comprises both of cars and factories.