Hypothesis-driven, real-time analysis of physiological data streams using textual representations
US9292576B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 9, 2012 |
| Grant date | Mar 22, 2016 |
| Priority date | — |
| Expiry date | Mar 7, 2033 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG16Z99/00
- WIPO fieldMedical technology
- WIPO sectorInstruments
Abstract
A method of analyzing physiological data streams. According to the method, physiological data is received into a computerized machine. The physiological data comprises numerical data and medical symptoms of a patient. Features are extracted from the physiological data based on development of the physiological data over a period of time. The features are converted into a textual representation using natural language generation. Input terms for an information retrieval system operating on the computerized machine are automatically generated based on the features. The input terms are input to the information retrieval system. A corpus of data is automatically searched to retrieve results to the input terms using the information retrieval system.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.