Back to results
US 2023/0420128 A1Published application
Multi-modal machine learning medical assessment
OwnerDanika Guptainventor
Life of this patent
Estimating the term…
Abstract
Apparatuses, systems, methods, and computer program products are disclosed for multi-modal machine learning medical assessment. A source module is configured to receive multiple types of data for a user. A machine learning module is configured to analyze the multiple types of data using machine learning to determine multiple predictions of likelihoods of the user getting a neurological disease. A multi-modal result module configured to determine a single result indicating a likelihood of the user getting the neurological disease based on the multiple predictions.
Claims20
An apparatus comprising:
- a machine learning module configured to train different machine learning models using a corpus of training data comprising multiple different types of data associated with a neurological disease;
- a source module configured to receive multiple types of data for a user, the machine learning module configured to analyze the multiple types of data using the different machine learning models to process the multiple types of data to determine multiple predictions of likelihoods of the user getting a neurological disease;
- and
- a multi-modal result module configured to determine a single result indicating a likelihood of the user getting the neurological disease based on the multiple predictions using one or more rules, each of the one or more rules defining how many of the multiple predictions that indicate the user is likely to get the neurological disease are needed to determine the single result indicating the user is likely to get the neurological disease.
1 more element
An apparatus comprising:
- means for training different machine learning models using a corpus of training data comprising multiple different types of data associated with a neurological disease;
- means for receiving multiple types of data for a user;
- means for analyzing the multiple types of data using the different machine learning models to process the multiple types of data to determine multiple predictions of likelihoods of the user getting a neurological disease;
- and
- means for determining a single result indicating a likelihood of the user getting the neurological disease based on the multiple predictions using one or more rules, each of the one or more rules defining how many of the multiple predictions that indicate the user is likely to get the neurological disease are needed to determine the single result indicating the user is likely to get the neurological disease.
2 more elements
A method comprising:
- training different machine learning models using a corpus of training data comprising multiple different types of data associated with a neurological disease;
- receiving multiple types of data for a user;
- analyzing the multiple types of data using the different machine learning models to process the multiple types of data to determine multiple predictions of likelihoods of the user getting a neurological disease;
- and
- determining a single result indicating a likelihood of the user getting the neurological disease based on the multiple predictions using one or more rules, each of the one or more rules defining how many of the multiple predictions that indicate the user is likely to get the neurological disease are needed to determine the single result indicating the user is likely to get the neurological disease.
2 more elements
Dependencies are inferred from the claim text.