Droid Mood Swing (DMS): Automatic Security Modes Based on Contexts

Thyrotoxicosis after Iodine Contrast Medium Administration: Rapid Mood Swing to Mania and Subsequent Psychotic Depression in a Patient with Bipolar Disorder during Lithium Therapy

Pharmacopsychiatry ◽

10.1055/s-2008-1076723 ◽

2008 ◽

Vol 41 (04) ◽

pp. 163-165 ◽

Cited By ~ 3

Author(s):

S. Arlt ◽

D. Burkhardt ◽

K. Wiedemann

Keyword(s):

Bipolar Disorder ◽

Contrast Medium ◽

Lithium Therapy ◽

Psychotic Depression ◽

Iodine Contrast Medium ◽

Mood Swing ◽

Contrast Medium Administration

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Digital Phenotyping in Bipolar Disorder: Which Integration with Clinical Endophenotypes and Biomarkers?

International Journal of Molecular Sciences ◽

10.3390/ijms21207684 ◽

2020 ◽

Vol 21 (20) ◽

pp. 7684

Author(s):

Laura Orsolini ◽

Michele Fiorani ◽

Umberto Volpe

Keyword(s):

Bipolar Disorder ◽

Predictive Marker ◽

Human Phenotype ◽

New Approach ◽

Individual Level ◽

Mood Swing ◽

Digital Phenotyping ◽

The Moment ◽

The Individual

Bipolar disorder (BD) is a complex neurobiological disorder characterized by a pathologic mood swing. Digital phenotyping, defined as the ‘moment-by-moment quantification of the individual-level human phenotype in its own environment’, represents a new approach aimed at measuring the human behavior and may theoretically enhance clinicians’ capability in early identification, diagnosis, and management of any mental health conditions, including BD. Moreover, a digital phenotyping approach may easily introduce and allow clinicians to perform a more personalized and patient-tailored diagnostic and therapeutic approach, in line with the framework of precision psychiatry. The aim of the present paper is to investigate the role of digital phenotyping in BD. Despite scarce literature published so far, extremely heterogeneous methodological strategies, and limitations, digital phenotyping may represent a grounding research and clinical field in BD, by owning the potentialities to quickly identify, diagnose, longitudinally monitor, and evaluating clinical response and remission to psychotropic drugs. Finally, digital phenotyping might potentially constitute a possible predictive marker for mood disorders.

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MENGKAJI MODEL MOOD SWING IBU HAMIL DI KOTA PALU PADA TRIMESTER PERTAMA MELALUI PERSAMAAN DIFERENSIAL BIASA ORDE 2 TAK HOMOGEN (Studi Kasus: Puskesmas Birobuli)

JURNAL ILMIAH MATEMATIKA DAN TERAPAN ◽

10.22487/2540766x.2013.v10.i1.7464 ◽

2016 ◽

Vol 10 (1) ◽

Author(s):

Nuranisa Nuranisa ◽

Rina Ratianingsih ◽

Agus Indra Jaya

Keyword(s):

Mood Swing

MENGKAJI MODEL MOOD SWING IBU HAMIL DI KOTA PALU PADA TRIMESTER PERTAMA MELALUI PERSAMAAN DIFERENSIAL BIASA ORDE 2 TAK HOMOGEN (Studi Kasus: Puskesmas Birobuli)

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