Identifying Insomnia From Social Media Posts: Psycholinguistic Analyses of User Tweets.

Ahmed Shahriar Sakib Md Saddam Hossain Mukta Fariha Rowshan Huda A K M Najmul Islam Tohedul Islam Mohammed Eunus Ali

Published in: Journal of medical Internet research (2021)

Our model can help predict insomnia from users' social media interactions. Thus, incorporating our model into a software system can help family members detect insomnia problems in individuals before they become worse. The software system can also help doctors to diagnose possible insomnia in patients.

Keyphrases

social media
health information
sleep quality
end stage renal disease
ejection fraction
chronic kidney disease
newly diagnosed
mental health
prognostic factors
peritoneal dialysis
patient reported outcomes