Feature prediction for minority class data augmentation
US12217875B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 31, 2022 |
| Grant date | Feb 4, 2025 |
| Priority date | — |
| Expiry date | Apr 8, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG16H20/10
- WIPO fieldMedical technology
- WIPO sectorInstruments
Abstract
A method for generating synthetic training records for use in training a model to predict low-incidence events. A synthetic training record is generated from a minority-class training record by substituting a different value for a feature in the minority-class training record, where the probability of the different value occurring in the minority-class training record exceeds a probability threshold. Also disclosed are a non-transitory storage medium comprising minority-class training records and synthetic training records and a method of training a machine-leaning model using training records augmented with synthetic training records. An exemplary synthetic training records is a synthetic medical record for use in training a model to predict drug overdoses.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.