- Patent Title: Generating templated documents using machine learning techniques
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Application No.: US16905219Application Date: 2020-06-18
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Publication No.: US11574191B2Publication Date: 2023-02-07
- Inventor: Ming Jack Po , Christopher Co , Katherine Chou
- Applicant: Google LLC
- Applicant Address: US CA Mountain View
- Assignee: Google LLC
- Current Assignee: Google LLC
- Current Assignee Address: US CA Mountain View
- Agency: Dority & Manning, P.A.
- Main IPC: G06N3/08
- IPC: G06N3/08 ; G06N5/02 ; G16H50/20 ; G06Q50/22

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.
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