Method of labeling and automating information associations for clinical applications
AssigneeAugmedix Operating Corporation
InventorWen-wai YIM
Life of this patent
Estimating the term…
Abstract
Systems and methods are providing for associating portions of data from a first data file to a second data file. The association may be used to generate machine learning libraries or for other purposes. Exemplary embodiments may include a first data file of a text extraction of a dialog between a clinician and a patient and the second data file are clinical notes obtained from the exchange between the clinician and the patient.
Claims23
A computer implemented method for marking a pair of corpuses for generating a machine learning library, the method comprising:
- providing a first corpus and a second corpus, wherein the first corpus is an audio file of a dialog which has been converted to a speaker separated text and the second corpus is a text;
- matching a portion of the first corpus to a portion of the second corpus;
- and
- storing the matched association of the portion of the first corpus to the portion of the second corpus in a database.
A non-transitory computer readable storage medium storing a computer executable program for directing one or more processors to perform a method for configuring a pair of corpuses, the method including steps of:
- receiving a first corpus and a second corpus wherein the first corpus is an audio file of a dialog which has been converted to a speaker separated text and the second corpus is a text;
- matching a portion of the first corpus to a portion of the second corpus;
- and
- storing the matched association of the portion of the first corpus to the portion of the second corpus in a database.
A non-transitory computer readable storage medium storing a computer executable program for directing one or more processors to perform a method for configuring a pair of corpuses, wherein the pair of corpuses comprises a first corpus derived from a clinical exchange between a clinician and a patient which has been converted to a speaker separated text and the second corpus is derived from the first corpus, the computer executable program comprising:
- a first classifier configured to identify commands related to sentences of the first corpus;
- a second classifier configured to identify portions of the second corpus that relate to default values from a predetermined template;
- a third classifier to label sentences of the first corpus;
- and
- a set creation module for creating sets between sentences of the first corpus and sentences of the second corpus.
Dependencies are inferred from the claim text.