Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Understanding Mood Disorders in Children

Authors
Lee, Ho-JunKim, Seung-HyunLee, Moon-Soo
Issue Date
2019
Publisher
SPRINGER-VERLAG SINGAPORE PTE LTD
Keywords
Mood disorder; Bipolar disorder; Machine learning; Artificial intelligence; Disruptive mood dysregulation disorder; Treatment strategies
Citation
FRONTIERS IN PSYCHIATRY: ARTIFCIAL INTELLIGENCE, PRECISION MEDICINE, AND OTHER PARADIGM SHIFTS, v.1192, pp.251 - 261
Indexed
SCIE
SCOPUS
Journal Title
FRONTIERS IN PSYCHIATRY: ARTIFCIAL INTELLIGENCE, PRECISION MEDICINE, AND OTHER PARADIGM SHIFTS
Volume
1192
Start Page
251
End Page
261
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/68980
DOI
10.1007/978-981-32-9721-0_12
ISSN
0065-2598
Abstract
Mood disorders include all types of depression and bipolar disorder, and mood disorders are sometimes called affective disorders. We will discuss newly developing two issues in affective disorders in children and adolescents. Those are the new diagnostic challenges using neuroimaging techniques in affective disorders and the introduction of disruptive mood dysregulation disorder (DMDD). During the 1980s, mental health professionals began to recognize symptoms of mood disorders in children and adolescents, as well as adults. However, children and adolescents do not necessarily have or exhibit the same symptoms as adults. It is more difficult to diagnose mood disorders in children, especially because children are not always able to express how they feel. Child mental health professionals believe that mood disorders in children and adolescents remain one of the most underdiagnosed mental health problems. We are currently trying to introduce the new diagnostic technique-machine learning in children and adolescents with MDD. We will discuss the current progress in the clinical application of machine learning for MDD. After that, we would also discuss a new challenging diagnosis-DMDD. We are still suffering from a lack of evidence when trying to treat the patients with DMDD. In addition, there are some debates about the diagnostic validity of DMDD. We will explain the current situation of DMDD studies and the future directions in the study of DMDD.
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Medicine > Department of Medical Science > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Lee, Moon Soo photo

Lee, Moon Soo
의과대학 (의학과)
Read more

Altmetrics

Total Views & Downloads

BROWSE