[HTML][HTML] Why loneliness interventions are unsuccessful: A call for precision health
SC Akhter-Khan, R Au - Advances in geriatric medicine and …, 2020 - ncbi.nlm.nih.gov
Background: Loneliness has drawn increasing attention over the past few decades due to
rising recognition of its close connection with serious health issues, like dementia. Yet …
rising recognition of its close connection with serious health issues, like dementia. Yet …
Exploiting vocal tract coordination using dilated cnns for depression detection in naturalistic environments
Depression detection from speech continues to attract significant research attention but
remains a major challenge, particularly when the speech is acquired from diverse …
remains a major challenge, particularly when the speech is acquired from diverse …
Digital solutions for shaping mood and behavior among individuals with mood disorders
A Victory, A Letkiewicz, AL Cochran - Current opinion in systems biology, 2020 - Elsevier
Mood disorders present on-going challenges to the medical field, with difficulties ranging
from establishing effective treatments to understanding complexities of one's mood. One …
from establishing effective treatments to understanding complexities of one's mood. One …
Towards unsupervised subject-independent speech-based relapse detection in patients with psychosis using variational autoencoders
Generative models, such as Variational Autoen-coders, are being increasingly utilized for
various acoustic modeling tasks, such as anomaly detection from audio signals. Motivated …
various acoustic modeling tasks, such as anomaly detection from audio signals. Motivated …
An unsupervised learning approach for detecting relapses from spontaneous speech in patients with psychosis
In this work, we aim to explore and develop a speech analysis system that identifies
relapses in patients with psychotic disorders (ie, bipolar disorder and schizophrenia) with …
relapses in patients with psychotic disorders (ie, bipolar disorder and schizophrenia) with …
Preserving mental health information in speech anonymization
V Ravuri, R Gutierrez-Osuna… - 2022 10th International …, 2022 - ieeexplore.ieee.org
Widespread speech technologies may change the dynamics of mental health (MH)
diagnosis, monitoring, and care by tracking spectrotemporal patterns of speech in a …
diagnosis, monitoring, and care by tracking spectrotemporal patterns of speech in a …
Automatic elicitation compliance for short-duration speech based depression detection
Detecting depression from the voice in naturalistic environments is challenging, particularly
for short-duration audio recordings. This enhances the need to interpret and make optimal …
for short-duration audio recordings. This enhances the need to interpret and make optimal …
Feasibility of using smartphones to capture speech during social interactions in schizophrenia.
SJ Abplanalp, A Gold, R Gonzalez, S Doshi… - 2021 - psycnet.apa.org
Lexical analysis is a tool designed to assess speech content using a variety of categorical
labels and has been used throughout the schizophrenia spectrum to quantify emotional …
labels and has been used throughout the schizophrenia spectrum to quantify emotional …
Detecting Student Depression Using Smartphone Data
SY Moon - 2022 - search.proquest.com
Technological solutions to screen for depression are being researched to combat the rise of
mental health problems in post-secondary students. Specifically, machine learning models …
mental health problems in post-secondary students. Specifically, machine learning models …
Addressing Variability in Speech when Recognizing Emotion and Mood In-the-Wild
J Gideon - 2019 - deepblue.lib.umich.edu
Bipolar disorder is a chronic mental illness, affecting 4% of Americans, that is characterized
by periodic mood changes ranging from severe depression to extreme compulsive highs …
by periodic mood changes ranging from severe depression to extreme compulsive highs …