Automated learning for medical data processing system
US8612261B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 17, 2012 |
| Grant date | Dec 17, 2013 |
| Priority date | — |
| Expiry date | Dec 17, 2032 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY02A90/10
- WIPO fieldMedical technology
- WIPO sectorInstruments
Abstract
In at least one embodiment, an automated medical data machine learning system and method allow a natural language processing (“NLP”) system to automatically learn via, for example, feedback to improve ongoing performance of the natural language processing system. The particular technology for improving the interpretation by the NLP system of future input data is a matter of design choice. In at least one embodiment, the automated medical data learning system and method includes a linguistics module that determines the part of speech of a particular term or term, such as use as a noun or verb. In at least one embodiment, the system and method learns an interpretation based on a source of the input data. In at least one embodiment, the system and method includes a statistics module that allows the system and method to determine a most probable interpretation or multiple interpretations.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.