The United States Government As Represented by the Department of Veterans Affairs

The Mitre Corporation

Terence M Keane

Qian Hu

Matthew E Coarr

Brian P Marx

Keith A Crouch

Cheryl Clark

Stelios Melachrinoudis

Seth-David Donald Dworman

Patricia D King

Joshua J Kraunelis

Hiroshi N Fujii

The present disclosure generally relates to a system and method for obtaining a diagnosis of a mental health condition. An exemplary system can receive an audio input; convert the audio input into a text string; identify a speaker associated with the text string; based on at least a portion of the audio input, determine a predefined audio characteristic of a plurality of predefined audio characteristics; based on the determined audio characteristic, identify an emotion corresponding to the portion of the audio input; generate a set of structured data based on the text string, the speaker, the predefined audio characteristic, and the identified emotion; and provide an output for obtaining the diagnosis of the mental disorder or condition, wherein the output is indicative of at least a portion of the set of structured data.

Mental health diagnostics using audio data

Provided is a method for predicting a PTSD diagnosis in a patient comprising receiving audio input data from a patient; determining one or more audio input indicators based on the audio input data, wherein each audio input indicator of the one or more audio input indicators represents a likelihood of a positive PTSD diagnosis based on the audio input data; receiving clinical assessment data from the patient; determining one or more clinical assessment indicators based on the clinical assessment data, wherein each clinical assessment indicator of the one or more clinical assessment indicators represents a likelihood of a positive PTSD diagnosis based on the clinical assessment data; combining the one or more audio input indicators and the one or more clinical assessment indicators using a prediction model chosen by a clinician; and determining a PTSD diagnosis in the patient based on the audio input data and the clinical assessment data.

Systems and methods for human-machine partnered PTSD prediction

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Brookline, MA, United States of America

Terence M Keane