Paper Info
Title
A mental disorder early warning approach by observing depression symptom in social diary
Abstract
With the advances of information technology, there are increasing researches aiming at assisting depression diagnosis and treatment. In most of them the user is necessarily actively joining the diagnosis and treatment program while he has perceived mental disorder himself. In order to early prevent the mental disorder, in this paper we propose an early warning mechanism that observes and mines user diary published on social network platform, and generates a score of getting mental disordered or depressed. If the score is large than a threshold, the system can notify the user and his friends on the social network to take care about the friend. We have conducted experiments to evaluate the proposed approach, and the results show that the proposed approach is effective.
Year
DOI
Venue
2014
10.1109/SMC.2014.6974225
SMC
Keywords
Field
DocType
depression diagnosis,ontology,social network,information technology,bayes methods,depression symptom,mental disorder,mental disorder early warning,social networking (online),patient diagnosis,depression treatment,social diary,patient treatment
Warning system,Ontology,Social network,Computer science,Artificial intelligence,Machine learning,Applied psychology
Conference
ISSN
Citations 
PageRank 
1062-922X
2
0.39
References 
Authors
4
4
Name
Order
Citations
PageRank
Ying-En Fang120.39
Chih-Hua Tai222.08
Yue-Shan Chang329537.68
Chih-Tien Fan4417.02