Mood Zoom could be a promising tool for daily mood variability monitoring, potentially differentiating bipolar from borderline patients

Research output: Contribution to journalComment/debateScientific

Original languageEnglish
Article number UNSP e9
JournalEvidence-based mental health.
Volume20
Issue number2
Number of pages2
ISSN1362-0347
DOIs
Publication statusPublished - May 2017
MoE publication typeB1 Journal article

Fields of Science

  • 3124 Neurology and psychiatry

Cite this

@article{9e13d40ef3b742b3982bb2db3a545c1c,
title = "Mood Zoom could be a promising tool for daily mood variability monitoring, potentially differentiating bipolar from borderline patients",
keywords = "3124 Neurology and psychiatry",
author = "Isomets{\"a}, {Erkki Tapio}",
year = "2017",
month = "5",
doi = "10.1136/eb-2017-102629",
language = "English",
volume = "20",
journal = "Evidence-based mental health.",
issn = "1362-0347",
publisher = "BMJ PUBLISHING GROUP",
number = "2",

}

TY - JOUR

T1 - Mood Zoom could be a promising tool for daily mood variability monitoring, potentially differentiating bipolar from borderline patients

AU - Isometsä, Erkki Tapio

PY - 2017/5

Y1 - 2017/5

KW - 3124 Neurology and psychiatry

U2 - 10.1136/eb-2017-102629

DO - 10.1136/eb-2017-102629

M3 - Comment/debate

VL - 20

JO - Evidence-based mental health.

JF - Evidence-based mental health.

SN - 1362-0347

IS - 2

M1 - UNSP e9

ER -