US 2024/0194343 A1 · PAIN DETECTION VIA MACHINE LEARNING APPLICATIONS

Abstract

The technical solutions identify presence and the level of pain of a patient using ML modeling trained on media data and data on health of persons. A processor coupled with memory can receive, from an application, a media data and data on health of the person. The processor can identify, using ML models, a presence of pain and a level of pain being expressed in the media of the person responsive to providing the media and the data on health of the person as inputs to the ML models. The ML models can be trained using a plurality of media and a plurality of data on health of persons expressing a plurality of levels of pain. The processor can generate, for the application, a notification identifying the presence of pain and the level of pain expressed by the person.

Claims20

Dependent claims

A system, comprising:

one or more processors coupled with memory to:
receive, from an application, a media of a person and data on health of the person;
identify, using one or more models, a presence of pain and a level of pain being expressed in the media of the person responsive to providing the media of the person and the data on health of the person as one or more inputs to the one or more models, the one or more models trained using a plurality of media and a plurality of data on health of persons expressing a plurality of levels of pain;
and
generate, for the application, a notification identifying the presence of pain and the level of pain expressed by the person.

2 more elements

A non-transitory computer-readable media having processor readable instructions, such that, when executed, cause at least one processor to:

receive, from an application, a media of a person and data on health of the person;
identify, using one or more models, a presence of pain and a level of pain being expressed in the media of the person responsive to providing the media of the person and the data on health of the person as one or more inputs to the one or more models, the one or more models trained using a plurality of media and a plurality of data on health of persons expressing a plurality of levels of pain;
and
generate, for the application, a notification identifying the presence of pain and the level of pain expressed by the person.

1 more element

Dependencies are inferred from the claim text.

Pain detection via machine learning applications

Life of this patent

Pain detection via machine learning applications

Life of this patent

Abstract

Claims20