Patent ID: 11929179
Assignee: nan
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. 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, the multiple different types of data comprising diagnosis data for patients with varying degrees of severity of the 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, the multiple predictions independently indicating whether the user is likely to get the neurological disease, the single result determined by applying one or more rules that each define an amount of the multiple predictions that indicate the user is likely to get the neurological disease that are needed for the single result to indicate that the user is likely to get the neurological disease, wherein a prediction based on a certain type of data has priority over a prediction based on a different type of data.