Iqvia Inc.

Masha Kazantseva

Lucas Glass

Kristy Morgan

Mark Boone Brown

Esther Van Hulten

April Lewis

Natalia Balko

Elizabeth Bodine

Lena Dyrved

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.

Optimization of investigator and site location identification

Growing community of inventors

Chapel Hill, NC, United States of America

Masha Kazantseva