Janssen Pharmaceutica Nv

Vaibhav Narayan

Srinivasan Vairavan

Srihari Gopal

Adam Savitz

Dai Wang

Susan Baker

System and method for detecting cognitive decline in a subject using a classification system for detecting cognitive decline in the subject based on a speech sample. The classification system is trained using speech data corresponding to audio recordings of speech from normal and cognitive decline patients to generate an ensemble classifier comprising a plurality of component classifiers and an ensemble module. Each of the plurality of component classifiers is a machine-learning classifier configured to generate a component output identifying a sample data as corresponding to a normal patient or a cognitive patient. The machine-learning classifier is generated based on a subset of available features. The ensemble module receives component outputs from all of the component classifiers and generates an ensemble output identifying the sample data as corresponding to a normal or cognitive decline patient based on the component outputs.

System and method for detecting cognitive decline using speech analysis

The invention provides methods of identifying schizophrenia patients at risk for relapse. The invention also provides methods of early detection of schizophrenic relapse. The disclosed methods use monitoring of a subset of symptoms and/or one or more biomarkers. The symptom severity can be assessed using the Positive and Negative Syndrome Scale (PANSS) parameters. The methods of the invention can be used to provide early intervention to decrease or prevent relapse in schizophrenia patients.

Growing community of inventors

Princeton, NJ, United States of America

Vaibhav Narayan