Listening for multiple mental health disorders
Researchers develop machine learning tools that screen for co-morbid anxiety disorders and major depressive disorder using acoustic voice signals. The team spoke to participants with and without co-morbid AD/MDD and recorded them using a secure telehealth platform. The participants were given a semantic verbal fluency test, in which they were required to name as many animals as possible within a time limit. The team extracted acoustic and phonemic features from the recordings and applied machine learning technique to distinguish subjects with and without comorbid AD/MDD. The results confirmed that a one-minute semantic VFT can be reliably used to screen for AD/MDD.
admin
0
0
Researchers develop machine learning tools that screen for co-morbid anxiety disorders and major depressive disorder using acoustic voice signals. The team spoke to participants with and without co-morbid AD/MDD and recorded them using a secure telehealth platform. The participants were given a semantic verbal fluency test, in which they were required to name as many animals as possible within a time limit. The team extracted acoustic and phonemic features from the recordings and applied machine learning technique to distinguish subjects with and without comorbid AD/MDD. The results confirmed that a one-minute semantic VFT can be reliably used to screen for AD/MDD.
