Method, apparatus, and computer program product for performing machine learning on unstructured documents
US10997405B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 4, 2019 |
| Grant date | May 4, 2021 |
| Priority date | — |
| Expiry date | Dec 13, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V30/416
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method, apparatus and computer program product are provided for classifying pages of a document with a linear regression model, and a deep learning (non-linear) model utilizing a neural network. The classification of each page is determined by determining which of the linearly predicted category or the non-linearly predicted category to use, such as for transmission to an auditor. Pages of medical records generated by concatenating reports from distinct sources are classified according to both models, and embodiments determine which classification should be used. The classifications may be optionally smoothed for continuity. The classifications may be sent to auditors and used to review and audit the medical records.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.