ECOLOGICALLY VALID LONG-TERM MOOD MONITORING OF INDIVIDUALS WITH BIPOLAR DISORDER USING SPEECH. - Wikidata - wikimedia - TriplyDB

ECOLOGICALLY VALID LONG-TERM MOOD MONITORING OF INDIVIDUALS WITH BIPOLAR DISORDER USING SPEECH.

ECOLOGICALLY VALID LONG-TERM MOOD MONITORING OF INDIVIDUALS WITH BIPOLAR DISORDER USING SPEECH.

http://www.wikidata.org/entity/Q30374622

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Voice analysis as an objective state marker in bipolar disorder Ethical perspectives on recommending digital technology for patients with mental illness Self-management and bipolar disorder--a clinician's guide to the literature 2011-2014.Smartphone-Based Monitoring of Objective and Subjective Data in Affective Disorders: Where Are We and Where Are We Going? Systematic Review Internet-Based Cognitive-Behavioral Therapy for Depression: Current Progress and Future Directions.Smartphone-based objective monitoring in bipolar disorder: status and considerations.A Transdiagnostic Review of Negative Symptom Phenomenology and Etiology.

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ECOLOGICALLY VALID LONG-TERM MOOD MONITORING OF INDIVIDUALS WITH BIPOLAR DISORDER USING SPEECH.

http://www.wikidata.org/entity/Q30374622

description

2014 nî lūn-bûn

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2014 թուականի Մայիսին հրատարակուած գիտական յօդուած

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2014 թվականի մայիսին հրատարակված գիտական հոդված

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2014年の論文

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2014年論文

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2014年論文

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2014年論文

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ECOLOGICALLY VALID LONG-TERM M ...... BIPOLAR DISORDER USING SPEECH.

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ICASSP.2014.6854525

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Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing

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ECOLOGICALLY VALID LONG-TERM M ...... BIPOLAR DISORDER USING SPEECH.

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Christopher Archer

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Emily Mower Provost

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Gloria Harrington

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Jennifer Montgomery

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Melvin G Mcinnis

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Zahi N Karam

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P2860

Global and regional burden of disease and risk factors, 2001: systematic analysis of population health data

A rating scale for mania: reliability, validity and sensitivity

Computational prosodic markers for autism.

Voice acoustic measures of depression severity and treatment response collected via interactive voice response (IVR) technology.

Automated vocal analysis of naturalistic recordings from children with autism, language delay, and typical development

Costs of bipolar disorder.

Intermediate: cognitive phenotypes in bipolar disorder.

What automated vocal analysis reveals about the vocal production and language learning environment of young children with autism.

Critical analysis of the impact of glottal features in the classification of clinical depression in speech.

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4858-4862

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2014

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bipolar disorder

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