Optimization of investigator and site location identification
US11210606B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 16, 2017 |
| Grant date | Dec 28, 2021 |
| Priority date | — |
| Expiry date | Oct 29, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/02
- WIPO fieldMedical technology
- WIPO sectorInstruments
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.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.