Deriving a hierarchical event based database optimized for pharmaceutical analysis

• US 8,346,802 B2
• Filed: 03/09/2011
• Issued: 01/01/2013
• Est. Priority Date: 02/26/2007
• Status: Active Grant

• Current Assignee: ServiceNow Incorporated
• Original Assignee: International Business Machines Corporation
• Inventors: Friedlander, Robert R., Hennessy, Richard, Kraemer, James R.
• Primary Examiner(s): Trujillo, James
• Assistant Examiner(s): Spieler, William
• Application Number:
  US13/044,074
• Publication Number:
  US 20120173494A1
• Time in Patent Office: 664 Days
• Field of Search: 707/776, 705/47
• US Class Current: 707/776
• CPC Class Codes: G06F 16/2457 with adaptation to user needs

Abstract

A computer implemented method for inferring a probability of a first inference absent from a database at which a query regarding the inference is received. Each datum of the database is conformed to the dimensions of the database. Each datum of the plurality of data has associated metadata and an associated key. The associated metadata includes data regarding cohorts associated with the corresponding datum, data regarding hierarchies associated with the corresponding datum, data regarding a corresponding source of the datum, and data regarding probabilities associated with integrity, reliability, and importance of each associated datum. The query is used as a frame of reference for the search. The database returns a probability of the correctness of the first inference based on the query and on the data.

Claims

1. A computer implemented method for building a database capable of inferring a probability of a first inference relating to a drug, the computer implemented method comprising:

establishing, by at least one processor, a database structure, wherein the database structure is adapted to receive a plurality of divergent data, wherein in the database the plurality of divergent data includes a plurality of cohort data, wherein the database is adapted such that each datum of the database is conformed to the dimensions of the database, wherein the database is further adapted such that each datum of the database has an associated metadata and an associated key, wherein the associated metadata comprises data regarding cohorts associated with the corresponding datum, data regarding hierarchies associated with the corresponding datum, data regarding a corresponding source of the datum, and data regarding probabilities associated with integrity, reliability, and importance of each associated datum;

importing, by the at least one processor, additional data into the plurality of divergent data, wherein the additional data initially is not associated with metadata and the additional data does not conform to the dimensions of the database;

conforming, by the at least one processor, the additional data to the dimensions of the database;

associating, by the at least one processor, metadata and a key with each datum of the additional data;

establishing, by the at least one processor, a first set of rules for the database structure, the first set of rules comprising rules for determining a second set of rules to be applied to a query submitted to the database, wherein the query is related to a drug, wherein the second set of rules at least determine that a fact submitted with the query will serve as a frame of reference when executing the query, wherein the frame of reference serves as an anchor for generating associations among the plurality of cohort data and is used to determine rules for limiting the plurality of divergent data that is searched, wherein the second set of rules determine a search space for the query, and wherein the second set of rules are adapted to create the probability of the first inference, wherein the probability of the first inference is determined from comparing the plurality of data according to the second set of rules using the fact as the frame of reference, wherein the probability of the first inference is based on factors consisting of;

a timing of the plurality of data according to the first set of rules, a source of the plurality of data according to the first set of rules, a trustworthiness of the plurality of data according to the first set of rules, a relevance of the plurality of data according to the first set of rules the plurality of data according to the first set of rules, a reliability of the plurality of data according to the first set of rules, an importance of the plurality of data according to the first set of rules, a data integrity of the plurality of data according to the first set of rules, and cohort information of the plurality of data according to the first set of rules, wherein a combination of the factors has a synergistic effect on the probability of the first inference;

storing, by the at least one processor, the probability of the first inference, wherein subsequently viewing the first inference is accessible to individuals having one of a set of different security access clearances based on the probability of the first inference having a higher or lower threshold of certainty probabilities of inferences when the inference implicates medical privacy laws, wherein first ones the individuals having a first one of the set of different security access clearances are permitted to viewing the first inference, and, wherein second ones the individuals having a second one of the set of different security access clearances are not permitted to viewing the first inference.

2. The computer-implemented method of claim 1 wherein the first inference is further related to one of testing of the drug, identifying an unknown side effect of the drug, identifying a new use for the drug, identifying the drug as being useful for treating a pre-selected medical condition, identifying at least one interaction of the drug with at least one additional drug, identifying at least one interaction of the drug with at least one environmental factor, identifying at least one interaction of the drug with a combination of at least one additional drug and at least one environmental factor, or identifying an efficacy of the drug.