Database integration for machine learning input
US11604833B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | May 31, 2022 |
| Grant date | Mar 14, 2023 |
| Priority date | — |
| Expiry date | May 31, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F16/182
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method including retrieving first data from first and second databases. The databases include different, incompatible formats and described different aspect of subjects. The data in the respective databases is referenceable using a common key type. The method also includes converting, into combined data, the first data and the second data into a canonical form configured for use as input to a machine learning model. The method also includes generating, using the common key type, pre-processed data by correlating, for ones of the subjects in the combined data, the first aspect of the subjects to the second aspect of the subjects. The machine learning model takes, as an input, the first aspect and the second aspect for each of the subjects in the pre-processed data, and generates, as an output, a prediction for a selected subject in the subjects. The method also includes presenting the output.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.