Understanding Side Effects of Antidepressants: Large-scale Longitudinal Study on Social Media Data.
Koustuv SahaJohn B TorousEmre KıcımanMunmun De ChoudhuryPublished in: JMIR mental health (2021)
This work enhances the understanding of the side effects of antidepressants by identifying distinct linguistic markers in the longitudinal social media data of individuals showing the most and least improvement following the self-reported intake of antidepressants. One implication of this work concerns the potential of social media data as an effective means to support digital pharmacovigilance and digital therapeutics. These results can inform clinicians in tailoring their discussion and assessment of side effects and inform patients about what to potentially expect and what may or may not be within the realm of normal aftereffects of antidepressants.
Keyphrases
- social media
- major depressive disorder
- health information
- electronic health record
- end stage renal disease
- big data
- chronic kidney disease
- ejection fraction
- bipolar disorder
- newly diagnosed
- small molecule
- peritoneal dialysis
- emergency department
- palliative care
- data analysis
- risk assessment
- physical activity
- weight gain
- deep learning
- artificial intelligence
- human health