公开(公告)号：US12159646B2

公开(公告)日：2024-12-03

申请号：US17188462

申请日：2021-03-01

Applicant: Express Scripts Strategic Development, Inc.

Inventor： John Ciliberti ,  Anatoly Zheleznyak

IPC: G10L25/66 ,  A61B5/08 ,  G06N3/08 ,  G10L15/06 ,  G16H10/20 ,  G16H10/60 ,  G16H50/20

Abstract: Methods and systems for a cough detection system are provided. The methods and systems include operations comprising: receiving an utterance comprising a cough from a user; determining one or more environmental factors, one or more health related factors, or both associated with the user; processing the utterance with a machine learning technique to generate an illness prediction, the machine learning technique being trained to establish a relationship between a plurality of training cough utterances and a plurality of illnesses corresponding to the plurality of training cough utterances; applying a weight to the illness prediction based on the one or more environmental factors, health related factors, or both associated with the user; and triggering an alert representing the illness prediction based on the weighted illness prediction.

公开(公告)号：US20220277764A1

公开(公告)日：2022-09-01

申请号：US17188462

申请日：2021-03-01

Applicant: Express Scripts Strategic Development, Inc.

Inventor： John Ciliberti ,  Anatoly Zheleznyak

IPC: G10L25/66 ,  G06N3/08 ,  G10L15/06 ,  G16H10/20 ,  G16H50/20 ,  G16H10/60

Abstract: Methods and systems for a cough detection system are provided. The methods and systems include operations comprising: receiving an utterance comprising a cough from a user; determining one or more environmental factors, one or more health related factors, or both associated with the user; processing the utterance with a machine learning technique to generate an illness prediction, the machine learning technique being trained to establish a relationship between a plurality of training cough utterances and a plurality of illnesses corresponding to the plurality of training cough utterances; applying a weight to the illness prediction based on the one or more environmental factors, health related factors, or both associated with the user; and triggering an alert representing the illness prediction based on the weighted illness prediction.