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The language used in Facebook posts can be used to identify some medical condition, new research has claimed.
A new study suggests that analysing the content of posts to the social network could help spot signs of conditions such as diabetes, anxiety, depression and psychosis.
Experts - Intelligence - AI - Software - Language
Experts used artificial intelligence (AI) software to analyse the language in Facebook posts from around 1,000 test patients.
What they learned could be used to gain an insight into a person's lifestyle choices and how they were feeling, which could also help with any potential treatment.
Researchers - University - Pennsylvania - School - Medicine
Researchers from the University of Pennsylvania School of Medicine and Stony Brook University are behind the study.
Lead author Dr Raina Merchant said: 'This work is early, but our hope is that the insights gleaned from these posts could be used to better inform patients and providers about their health.
Media - Posts - Someone - Choices - Experiences
'As social media posts are often about someone's lifestyle choices and experiences or how they're feeling, this information could provide additional information about disease management and exacerbation.'
The researchers used an automated data collection technique to analyse the entire Facebook posting history of those who agreed to take part and to share their data.
Participants - Records - Profiles
Participants also agreed to have electronic medical records linked to their profiles.
Three different models were then built to asses the data - one which focused on the Facebook data only, one which used demographics such as age and sex and...
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