Voice acoustic measures of depression severity and treatment response collected via interactive voice response (IVR) technology.
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An examination of the language construct in NIMH's research domain criteria: Time for reconceptualization!Recommendations for the Use of ICT in Elderly Populations with Affective DisordersECOLOGICALLY VALID LONG-TERM MOOD MONITORING OF INDIVIDUALS WITH BIPOLAR DISORDER USING SPEECH.Detecting Depression Severity from Vocal Prosody.Effects of Parkinson's Disease on Fundamental Frequency Variability in Running SpeechPhonetic measures of reduced tongue movement correlate with negative symptom severity in hospitalized patients with first-episode schizophrenia-spectrum disorders.Vocal acoustic biomarkers of depression severity and treatment responseThe efficacy and safety of bupropion sustained-release formulation for the treatment of major depressive disorder: a multi-center, randomized, double-blind, placebo-controlled study in Asian patientsLong term Suboxone™ emotional reactivity as measured by automatic detection in speech.Review of extracting information from the Social Web for health personalizationStandardization of pitch-range settings in voice acoustic analysisAssessing Chronic Stress, Coping Skills, and Mood Disorders through Speech Analysis: A Self-Assessment 'Voice App' for Laptops, Tablets, and Smartphones.Towards automated detection of depression from brain structural magnetic resonance images.The development of the Athens Emotional States Inventory (AESI): collection, validation and automatic processing of emotionally loaded sentences.The effects of acute tryptophan depletion on speech and behavioural mimicry in individuals at familial risk for depression.Mild Depression Detection of College Students: an EEG-Based Solution with Free Viewing Tasks.Comparison of voice acquisition methodologies in speech research.Detecting Depression Using an Ensemble Logistic Regression Model Based on Multiple Speech FeaturesObjective Methods for Reliable Detection of Concealed DepressionPhonologically-based biomarkers for major depressive disorder
P2860
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P2860
Voice acoustic measures of depression severity and treatment response collected via interactive voice response (IVR) technology.
description
2007 nî lūn-bûn
@nan
2007 թուականի Յունուարին հրատարակուած գիտական յօդուած
@hyw
2007 թվականի հունվարին հրատարակված գիտական հոդված
@hy
2007年の論文
@ja
2007年論文
@yue
2007年論文
@zh-hant
2007年論文
@zh-hk
2007年論文
@zh-mo
2007年論文
@zh-tw
2007年论文
@wuu
name
Voice acoustic measures of dep ...... ice response (IVR) technology.
@ast
Voice acoustic measures of dep ...... ice response (IVR) technology.
@en
type
label
Voice acoustic measures of dep ...... ice response (IVR) technology.
@ast
Voice acoustic measures of dep ...... ice response (IVR) technology.
@en
prefLabel
Voice acoustic measures of dep ...... ice response (IVR) technology.
@ast
Voice acoustic measures of dep ...... ice response (IVR) technology.
@en
P2093
P2860
P1476
Voice acoustic measures of dep ...... oice response (IVR) technology
@en
P2093
Dayna S Geralts
James C Mundt
Kara Chappie
Michael S Cannizzaro
P2860
P356
10.1016/J.JNEUROLING.2006.04.001
P577
2007-01-01T00:00:00Z