The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Oct. 01, 2024

Filed:

Nov. 22, 2021
Applicant:

Iqvia Inc., Parsippany, NJ (US);

Inventors:

Kristy Morgan, Chapel Hill, NC (US);

Mark Boone Brown, Raleigh, NC (US);

Natalia Balko, London, GB;

April Lewis, Gulph Mills, PA (US);

Lucas Glass, Devon, PA (US);

Elizabeth Bodine, Havertown, PA (US);

Lena Dyrved, Copenhagen, DK;

Esther Van Hulten, Le Tremblay sur Mauldre, FR;

Masha Kazantseva, Chapel Hill, NC (US);

Assignee:

IQVIA Inc., Parsippany, NJ (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 20/00 (2019.01); G06N 5/022 (2023.01);
U.S. Cl.
CPC ...
G06N 20/00 (2019.01); G06N 5/022 (2013.01);
Abstract

A computer-implemented method includes a machine learning system receiving distinct types of data associated with multiple individual entities. For each of the individual entities, the machine learning system determines a first attribute that indicates a predicted attribute of the entity based on analysis of the data. The machine learning system also determines a second attribute that indicates a predicted quality attribute of the entity, based on analysis of the data. An attribute weighting module of the machine learning system generates weight values for each of the first attribute and the second attribute of the entity. The machine learning system generates a data structure that identifies a set of entities from among the multiple individual entities, where entities of the set are ranked based on a tier indicator that corresponds to either the first attribute, the second attribute, or both.


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