Development of an Adolescent Depression Ontology for Analyzing Social Data.
Depression in adolescence is associated with significant suicidality. Therefore, it is important to detect the risk for depression and provide timely care to adolescents. This study aims to develop an ontology for collecting and analyzing social media data about adolescent depression. This ontology was developed using the 'ontology development 101'. The important terms were extracted from several clinical practice guidelines and postings on Social Network Service. We extracted 777 terms, which were categorized into 'risk factors', 'sign and symptoms', 'screening', 'diagnosis', 'treatment', and 'prevention'. An ontology developed in this study can be used as a framework to understand adolescent depression using unstructured data from social media.
College of Nursing, Seoul National University.
Hyesil
H
Jung
College of Nursing, Seoul National University.
Hyeoun-Ae
HA
Park
Korea Institute for Health and Social Affairs.
Tae-Min
TM
Song
College of Nursing, Seoul National University.
Eunjoo
E
Jeon
College of Nursing, Seoul National University.
Ae Ran
AR
Kim
College of Nursing, Seoul National University.
Joo Yun
JY
Lee
D000293:Adolescent; D000067697:Adolescent Health / Q000145:classification; D057225:Data Mining / Q000145:classification* / Q000379:methods; D003863:Depression / Q000145:classification* / Q000523:psychology*; D005260:Female; D006801:Humans; D008297:Male; D009323:Natural Language Processing; D000297:Psychology, Adolescent / Q000145:classification; D061108:Social Media / Q000145:classification*; D018875:Vocabulary, Controlled