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Erschienen in:
Logic, Machine Learning, and Security Kapitel lesen Erstes Kapitel lesen

2019 | OriginalPaper | Buchkapitel

Anticipating Depression Based on Online Social Media Behaviour

verfasst von : Esteban A. Ríssola, Seyed Ali Bahrainian, Fabio Crestani

Erschienen in: Flexible Query Answering Systems

Verlag: Springer International Publishing

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Abstract

Mental disorders are major concerns in societies all over the world, and in spite of the improved diagnosis rates of such disorders in recent years, many cases still go undetected. The popularity of online social media websites has resulted in new opportunities for innovative methods of detecting such mental disorders.
In this paper, we present our research towards developing a cutting-edge automatic screening assistant based on social media textual posts for detecting depression. Specifically, we envision an automatic prognosis tool that can anticipate when an individual is developing depression, thus offering low-cost unobtrusive mechanisms for large-scale early screening. Our experimental results on a real-world dataset reveals evidence that developing such systems is viable and can produce promising results. Moreover, we show the results of a case study on real users revealing signs that a person is vulnerable to depression.

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Vorheriges Kapitel Can BlockChain Technology Provide Information Systems with Trusted Database? The Case of HyperLedger Fabric
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Fußnoten
3
The DSM determines a common vocabulary and standard criteria to group and characterise the different mental disorders. Its three main components are: the diagnostic classification, the diagnostic criteria sets and the descriptive text.
 
5
Titled forums on Reddit are denominated subreddits.
 
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Metadaten
Titel
Anticipating Depression Based on Online Social Media Behaviour
verfasst von
Esteban A. Ríssola
Seyed Ali Bahrainian
Fabio Crestani
Copyright-Jahr
2019
Buch
Flexible Query Answering Systems

Print ISBN: 978-3-030-27628-7

Electronic ISBN: 978-3-030-27629-4

Copyright-Jahr: 2019

DOI
https://doi.org/10.1007/978-3-030-27629-4_26