Mental Health Studies: A Review
Rachel Wesley and
Hoang Pham ()
Additional contact information
Rachel Wesley: Rutgers University
Hoang Pham: Rutgers University
A chapter in Applications in Reliability and Statistical Computing, 2023, pp 289-302 from Springer
Abstract:
Abstract Mental health is a predominant issue in the United States. Conversations and research around mental health have increased in the past few years. This review examines and categorizes research that has been conducted regarding social media and its impact on mental health into three main categories: (1) Data Collection, Self-Reporting Surveys, and Reviews; (2) Data Collection with Machine Learning Applications; and (3) Modeling of Mental Health Using Survey Data and Machine Learning. Summary tables of risk factors studied, machine learning techniques, and social media sites studied or where data was gathered from are included.
Keywords: Mental health; Social media; Machine learning; Modeling; Well-being (search for similar items in EconPapers)
Date: 2023
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:ssrchp:978-3-031-21232-1_15
Ordering information: This item can be ordered from
http://www.springer.com/9783031212321
DOI: 10.1007/978-3-031-21232-1_15
Access Statistics for this chapter
More chapters in Springer Series in Reliability Engineering from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().