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AI Biotech/Diagnostics: Cardio
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Patent US10311980
Issued 2019-06-04
Medical Assessment Based On Voice
Apparatuses, systems, methods, and computer program products are disclosed for medical assessment based on voice. A query module is configured to audibly question a user from a speaker of a mobile computing device. A response module is configured to receive a verbal response of a user from a microphone of a mobile computing device. A detection module is configured to provide an assessment for a user of a medical condition based on an analysis of a received verbal response of the user.
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- 1. An apparatus comprising:
a query module installed on a mobile computing device and configured to audibly question a user from a speaker of the mobile computing device with one or more open ended questions, wherein the one or more open ended questions were previously selected by:
computing a medical diagnosis score for each speech data item of a training corpus by processing the speech data items with a machine learning model,
computing a prompt selection score for each prompt of a plurality of prompts using the medical diagnosis scores, and
selecting a subset of prompts from the plurality of prompts using the prompt selection scores, the subset of prompts comprising the one or more open ended questions;
a response module installed on the mobile computing device and configured to receive a conversational verbal response of the user from a microphone of the mobile computing device in response to the one or more open ended questions; and a detection module installed on the mobile computing device and configured to display on a screen of the mobile computing device a machine learning assessment for the user of a medical condition based on a machine learning analysis of the received conversational verbal response of the user.
- 17. A system comprising:
a plurality of distributed voice modules installed on computing devices for a plurality of users, the plurality of distributed voice modules configured to audibly question the plurality of users from speakers of the computing devices with one or more open ended questions and to record verbal responses from the plurality of users on the computing devices; and a backend computer server device configured to store at least baseline recorded verbal responses from the plurality of users, test case recorded verbal responses from the plurality of users, and machine learning assessments of a medical condition for at least the test case recorded verbal responses and to audibly play the stored baseline recorded verbal responses and the test case recorded verbal responses, and to display the assessments to at least a subset of the plurality of users on the computing devices through the plurality of distributed voice modules installed on the computing devices, the backend computer server device further configured to select the one or more open ended questions by:
computing a medical diagnosis score for each speech data item of a training corpus by processing the speech data items with a machine learning model,
computing a prompt selection score for each prompt of a plurality of prompts using the medical diagnosis scores, and
selecting a subset of prompts from the plurality of prompts using the prompt selection scores, the subset of prompts comprising the one or more open ended questions.
- 21. A system comprising:
means for computing a medical diagnosis score for each speech data item of a training corpus by processing the speech data items with a machine learning model; means for computing a prompt selection score for each prompt of a plurality of prompts using the medical diagnosis scores; means for selecting a subset of prompts from the plurality of prompts using the prompt selection scores, the subset of prompts comprising one or more open ended questions; means for audibly questioning a user from an application installed on a mobile computing device with the one or more open ended questions; means for receiving a verbal response of the user on the mobile computing device from a microphone of the mobile computing device in response to the one or more open ended questions; means for assessing the user for a medical condition based on the received verbal response of the user; and means for displaying the assessment to the user on a screen of the mobile computing device.
- 23. A method comprising:
computing a medical diagnosis score for each speech data item of a training corpus by processing the speech data items with a machine learning model; computing a prompt selection score for each prompt of a plurality of prompts using the medical diagnosis scores; selecting a subset of prompts from the plurality of prompts using the prompt selection scores, the subset of prompts comprising one or more open ended questions; audibly querying a user with the one or more open ended questions using a user interface of a computing device; recording, on a computing device, one or more baseline verbal responses of the user to the one or more open ended questions; audibly re-querying the user, in response to a potential concussion event, with the one or more open ended questions using a user interface of a computing device; recording, on a computing device, one or more test case verbal responses of the user to the re-queried one or more open ended questions; assessing, on a computing device, a likelihood that the user has a concussion based on a voice analysis of the recorded one or more baseline verbal responses and the recorded one or more test case verbal responses; and visually displaying, on a screen of a computing device, the likelihood that the user has a concussion.
