Systems and methods for generating biomarker signatures with integrated bias correction and class prediction
US10339464B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 21, 2013 |
| Grant date | Jul 2, 2019 |
| Priority date | — |
| Expiry date | Oct 31, 2035 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG16B40/20
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Described herein are systems and methods for correcting a data set and classifying the data set in an integrated manner. A training data set, a training class set, and a test data set are received. A first classifier is generated for the training data set by applying a machine learning technique to the training data set and the training class set, and a first test class set is generated by classifying the elements in the test data set according to the first classifier. For each of multiple iterations, the training data set is transformed, the test data set is transformed, and a second classifier is generated by applying a machine learning technique to the transformed training data set. A second test class set is generated according to the second classifier, and the first test class set is compared to the second test class set.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.