Generating templated documents using machine learning techniques
US10691998B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 20, 2016 |
| Grant date | Jun 23, 2020 |
| Priority date | — |
| Expiry date | Jun 4, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG16H50/50
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods of predicting documentation associated with an encounter between attendees are provided. For instance, attendee data indicative of one or more previous visit notes associated with a first attendee can be obtained. The attendee data can be inputted into a machine-learned note prediction model that includes a neural network. The neural network can generate one or more context vectors descriptive of the attendee data. Data indicative of a predicted visit note can be received as output of the machine-learned note prediction model based at least in part on the context vectors. The predicted visit note can include a set of predicted information expected to be included in a subsequently generated visit note associated with the first attendee.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.