Smartphone-based recognition of states and state changes in bipolar disorder patients. - Wikidata - wikimedia - TriplyDB

Smartphone-based recognition of states and state changes in bipolar disorder patients.

Smartphone-based recognition of states and state changes in bipolar disorder patients.

http://www.wikidata.org/entity/Q33441379

about

Electronic self-monitoring of mood using IT platforms in adult patients with bipolar disorder: A systematic review of the validity and evidence Enabling Psychiatrists to Explore the Full Potential of E-Health Mobile Apps for Bipolar Disorder: A Systematic Review of Features and Content Quality Voice analysis as an objective state marker in bipolar disorder MOOD STATE PREDICTION FROM SPEECH OF VARYING ACOUSTIC QUALITY FOR INDIVIDUALS WITH BIPOLAR DISORDER From Data Acquisition to Data Fusion: A Comprehensive Review and a Roadmap for the Identification of Activities of Daily Living Using Mobile Devices.Realizing the potential of mobile mental health: new methods for new data in psychiatry The `WikiGuidelines' smartphone application: Bridging the gaps in availability of evidence-based smartphone mental health applications.Automatic detection of social rhythms in bipolar disorder.Development and Evaluation of a Smartphone-Based Measure of Social Rhythms for Bipolar Disorder.Rationale and protocol for using a smartphone application to study autism spectrum disorders: SMARTAUTISM.Mobile Phone Ecological Momentary Assessment of Daily Stressors Among People Living With HIV: Elucidating Factors Underlying Health-Related Challenges in Daily Routines.There is an app for that! The current state of mobile applications (apps) for DSM-5 obsessive-compulsive disorder, posttraumatic stress disorder, anxiety and mood disorders.Detecting Bipolar Depression From Geographic Location Data.The relationship between mobile phone location sensor data and depressive symptom severity.An Internet-based program for depression using activity and physiological sensors: efficacy, expectations, satisfaction, and ease of use Predicting Negative Emotions Based on Mobile Phone Usage Patterns: An Exploratory Study.Technology-Based Early Warning Systems for Bipolar Disorder: A Conceptual Framework.Design and Methods of the Mood Disorder Cohort Research Consortium (MDCRC) Study Daily longitudinal self-monitoring of mood variability in bipolar disorder and borderline personality disorder mHealth Technologies for Palliative Care Patients at the Interface of In-Patient to Outpatient Care: Protocol of Feasibility Study Aiming to Early Predict Deterioration of Patient's Health Status.Smartphone-Based Monitoring of Objective and Subjective Data in Affective Disorders: Where Are We and Where Are We Going? Systematic Review Computational Tracking of Mental Health in Youth: Latin American Contributions to a Low-Cost and Effective Solution for Early Psychiatric Diagnosis.Experiences of remote mood and activity monitoring in bipolar disorder: A qualitative study.Digital Platforms in the Assessment and Monitoring of Patients with Bipolar Disorder.Systematic review of smartphone-based passive sensing for health and wellbeing.Smartphone-based objective monitoring in bipolar disorder: status and considerations.The Emerging Neurobiology of Bipolar Disorder.Approach for the Development of a Framework for the Identification of Activities of Daily Living Using Sensors in Mobile Devices.Patient State Recognition System for Healthcare Using Speech and Facial Expressions.A review of physiological and behavioral monitoring with digital sensors for neuropsychiatric illnesses.Relapse prediction in schizophrenia through digital phenotyping: a pilot study.Engagement Strategies for Self-Monitoring Symptoms of Bipolar Disorder With Mobile and Wearable Technology: Protocol for a Randomized Controlled Trial.Correlations Between Objective Behavioral Features Collected From Mobile and Wearable Devices and Depressive Mood Symptoms in Patients With Affective Disorders: Systematic Review Depression Behavior Detection Model Based on Participation in Serious Games Correlations between objective behavioral features collected from mobile and wearable devices, and depressive mood symptoms in affective disorders: A systematic review (Preprint)Effectiveness of smartphone-based ambulatory assessment (SBAA-BD) including a predicting system for upcoming episodes in the long-term treatment of patients with bipolar disorders: study protocol for a randomized controlled single-blind trial From e-Health to i-Health: Prospective Reflexions on the Use of Intelligent Systems in Mental Health Care

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Smartphone-based recognition of states and state changes in bipolar disorder patients.

http://www.wikidata.org/entity/Q33441379

description

2014 nî lūn-bûn

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2014 թուականի Յուլիսին հրատարակուած գիտական յօդուած

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2014 թվականի հուլիսին 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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2014年論文

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2014年論文

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2014年论文

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name

Smartphone-based recognition of states and state changes in bipolar disorder patients.

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Smartphone-based recognition of states and state changes in bipolar disorder patients.

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type

label

Smartphone-based recognition of states and state changes in bipolar disorder patients.

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Smartphone-based recognition of states and state changes in bipolar disorder patients.

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prefLabel

Smartphone-based recognition of states and state changes in bipolar disorder patients.

@ast

Smartphone-based recognition of states and state changes in bipolar disorder patients.

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JBHI.2014.2343154

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IEEE Journal of Biomedical and Health Informatics

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Smartphone-based recognition of states and state changes in bipolar disorder patients.

@en

P2093

Agnes Grünerbl

http://www.w3.org/2001/XMLSchema#string

Amir Muaremi

http://www.w3.org/2001/XMLSchema#string

Christian Haring

http://www.w3.org/2001/XMLSchema#string

Gerhard Tröster

http://www.w3.org/2001/XMLSchema#string

Gernot Bahle

http://www.w3.org/2001/XMLSchema#string

Oscar Mayora

http://www.w3.org/2001/XMLSchema#string

Paul Lukowicz

http://www.w3.org/2001/XMLSchema#string

Stefan Ohler

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Venet Osmani

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140-148

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scholarly article

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10.1109/JBHI.2014.2343154

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1

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19

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2014-07-25T00:00:00Z

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25073181

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bipolar disorder