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The growing field of digital psychiatry: current evidence and the future of apps, social media, chatbots, and virtual reality

World psychiatry, 2021-10, Vol.20 (3), p.318-335

2021

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Is smartphone‐based mood instability associated with stress, quality of life, and functioning in bipolar disorder?

Bipolar disorders, 2019-11, Vol.21 (7), p.611-620

2019

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Smartphone data as an electronic biomarker of illness activity in bipolar disorder

Bipolar disorders, 2015-11, Vol.17 (7), p.715-728

2015

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Irritability in bipolar disorder and unipolar disorder measured daily using smartphone‐based data: An exploratory post hoc study

Acta psychiatrica Scandinavica, 2023-06, Vol.147 (6), p.593-602

2023

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Reducing the rate of psychiatric re‐admissions in bipolar disorder using smartphones—The RADMIS trial

Acta psychiatrica Scandinavica, 2021-05, Vol.143 (5), p.453-465

2021

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Discriminating between patients with unipolar disorder, bipolar disorder, and healthy control individuals based on voice features collected from naturalistic smartphone calls

Acta psychiatrica Scandinavica, 2022-03, Vol.145 (3), p.255-267

2022

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Smartphones in mental health: a critical review of background issues, current status and future concerns

International Journal of Bipolar Disorders, 2020-01, Vol.8 (1), p.2-2, Article 2

2020

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Heart rate variability in bipolar disorder: A systematic review and meta-analysis

Neuroscience and biobehavioral reviews, 2017-02, Vol.73, p.68-80

2017

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Behavioral activities collected through smartphones and the association with illness activity in bipolar disorder

International journal of methods in psychiatric research, 2016-12, Vol.25 (4), p.309-323

2016

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Diabetes is a strong predictor of mortality during tuberculosis treatment: a prospective cohort study among tuberculosis patients from Mwanza, Tanzania

Tropical medicine & international health, 2013-07, Vol.18 (7), p.822-829

2013

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Editorial

Transfer (Brussels, Belgium), 2019-05, Vol.25 (2), p.145-147

Jepsen, Maria

2019

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Daily estimates of clinical severity of symptoms in bipolar disorder from smartphone-based self-assessments

Translational psychiatry, 2020-06, Vol.10 (1), p.194-194, Article 194

2020

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Mood, activity, and sleep measured via daily smartphone-based self-monitoring in young patients with newly diagnosed bipolar disorder, their unaffected relatives and healthy control individuals

European child & adolescent psychiatry, 2021-08, Vol.30 (8), p.1209-1221

2021

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Reporting guidelines on remotely collected electronic mood data in mood disorder (eMOOD)-recommendations

Translational psychiatry, 2019-06, Vol.9 (1), p.162-162, Article 162

2019

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Smartphone-based objective monitoring in bipolar disorder: status and considerations

International Journal of Bipolar Disorders, 2018-01, Vol.6 (1), p.6-6, Article 6

2018

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Interventions promoting recovery from depression for patients transitioning from outpatient mental health services to primary care: Protocol for a scoping review

PloS one, 2023-09, Vol.18 (9), p.e0291559-e0291559

2023

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Smartphone-based activity measurements in patients with newly diagnosed bipolar disorder, unaffected relatives and control individuals

International Journal of Bipolar Disorders, 2020-11, Vol.8 (1), p.32-32, Article 32

2020

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The Deconstruction of Employment as a Political Question: 'Employment' as a Floating Signifier

1, 2018

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Voice analyses using smartphone-based data in patients with bipolar disorder, unaffected relatives and healthy control individuals, and during different affective states

International Journal of Bipolar Disorders, 2021-12, Vol.9 (1), p.38-38, Article 38

2021

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Diabetes is a risk factor for pulmonary tuberculosis: a case-control study from Mwanza, Tanzania

PloS one, 2011-08, Vol.6 (8), p.e24215-e24215

2011

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Associations between the cortisol awakening response and patient-evaluated stress and mood instability in patients with bipolar disorder: an exploratory study

International Journal of Bipolar Disorders, 2021-03, Vol.9 (1), p.8-8, Article 8

2021

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Patient-evaluated cognitive function measured with smartphones and the association with objective cognitive function, perceived stress, quality of life and function capacity in patients with bipolar disorder

International Journal of Bipolar Disorders, 2020-10, Vol.8 (1), p.31-31, Article 31

2020

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The impact of HIV infection and CD4 cell count on the performance of an interferon gamma release assay in patients with pulmonary tuberculosis

PloS one, 2009-01, Vol.4 (1), p.e4220-e4220

2009

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BLUES - stabilizing mood and sleep with blue blocking eyewear in bipolar disorder - a randomized controlled trial study protocol

Annals of medicine (Helsinki), 2023, Vol.55 (2), p.2292250-2292250

2023

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The growing field of digital psychiatry: current evidence and the future of apps, social media, chatbots, and virtual reality

Is smartphone‐based mood instability associated with stress, quality of life, and functioning in bipolar disorder?

Smartphone data as an electronic biomarker of illness activity in bipolar disorder

Irritability in bipolar disorder and unipolar disorder measured daily using smartphone‐based data: An exploratory post hoc study

Reducing the rate of psychiatric re‐admissions in bipolar disorder using smartphones—The RADMIS trial

Discriminating between patients with unipolar disorder, bipolar disorder, and healthy control individuals based on voice features collected from naturalistic smartphone calls

Smartphones in mental health: a critical review of background issues, current status and future concerns

Heart rate variability in bipolar disorder: A systematic review and meta-analysis

Behavioral activities collected through smartphones and the association with illness activity in bipolar disorder

Smartphone‐based interventions in bipolar disorder: Systematic review and meta‐analyses of efficacy. A position paper from the International Society for Bipolar Disorders (ISBD) Big Data Task Force

Diabetes is a strong predictor of mortality during tuberculosis treatment: a prospective cohort study among tuberculosis patients from Mwanza, Tanzania

Editorial

Daily estimates of clinical severity of symptoms in bipolar disorder from smartphone-based self-assessments

Mood, activity, and sleep measured via daily smartphone-based self-monitoring in young patients with newly diagnosed bipolar disorder, their unaffected relatives and healthy control individuals

Reporting guidelines on remotely collected electronic mood data in mood disorder (eMOOD)-recommendations

Smartphone-based objective monitoring in bipolar disorder: status and considerations

Interventions promoting recovery from depression for patients transitioning from outpatient mental health services to primary care: Protocol for a scoping review

Smartphone-based activity measurements in patients with newly diagnosed bipolar disorder, unaffected relatives and control individuals

The Deconstruction of Employment as a Political Question: 'Employment' as a Floating Signifier

Voice analyses using smartphone-based data in patients with bipolar disorder, unaffected relatives and healthy control individuals, and during different affective states

Diabetes is a risk factor for pulmonary tuberculosis: a case-control study from Mwanza, Tanzania

Associations between the cortisol awakening response and patient-evaluated stress and mood instability in patients with bipolar disorder: an exploratory study

Patient-evaluated cognitive function measured with smartphones and the association with objective cognitive function, perceived stress, quality of life and function capacity in patients with bipolar disorder

The impact of HIV infection and CD4 cell count on the performance of an interferon gamma release assay in patients with pulmonary tuberculosis

BLUES - stabilizing mood and sleep with blue blocking eyewear in bipolar disorder - a randomized controlled trial study protocol

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