Apparatus, computer program product, and method for predictive data labelling using a dual-prediction model system
US11537818B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 17, 2020 |
| Grant date | Dec 27, 2022 |
| Priority date | — |
| Expiry date | Aug 16, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG16H50/30
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Various embodiments of the disclosure provide apparatuses, systems, and computer program products for predictive data labelling using a dual-model system. Embodiments provide various advantages in accuracy of predicted labels, for example in various contexts such as medical data analysis for difficult to diagnose diseases. An example provided apparatus is configured to generate a positive, neutral, and negative candidate identifier sets and corresponding positive, neutral, and negative candidate index sets based in part on applying a candidate selection rule set to a candidate data set; train a candidate label probabilistic model based at least in part on a candidate label training subset associated with the candidate data set associated with the positive and negative candidate identifiers; generate a candidate positive-label probability set using at least the candidate label probabilistic model; train a historical record prediction model to predict the candidate positive-label probability set; and utilize the historical record prediction model.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.