Using Twitter to mine sleep related information from people who declare a diagnosis of a psychotic disorder
ABSTRACT Objectives Our group has investigated the occurrence of psychotic(-like) experiences (PLEs) in Twitter posts, namely auditory hallucinations. Tweets classified as potentially related to auditory hallucinations were proportionately higher between 23:00 and 5:00 in comparison to tweets not...
Main Authors: | Mladen Dinev, Maksim Belousov, Rohan Morris, Natalie Berry, Goran Nenadic |
---|---|
Format: | Article |
Language: | English |
Published: |
Swansea University
2017-04-01
|
Series: | International Journal of Population Data Science |
Online Access: | https://ijpds.org/article/view/370 |
Similar Items
-
Extracting Drug Names and Associated Attributes From Discharge Summaries: Text Mining Study
by: Alfattni, Ghada, et al.
Published: (2021-05-01) -
Declarative and non-declarative memory consolidation in children with sleep disorder
by: Eszter eCsabi, et al.
Published: (2016-01-01) -
Sleep smart – Optimizing sleep for declarative learning and memory
by: Gordon B. Feld, et al.
Published: (2015-05-01) -
Sleep, Fatigue, and Functional Health in Psychotic Patients
by: Flavie Waters, et al.
Published: (2013-01-01) -
The Relationship Between Sleep and Declarative Memory
by: Nakşidil Torun Yazıhan, et al.
Published: (2018-06-01)