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Facebook language predicts depression in medical records
2018
Proceedings of the National Academy of Sciences of the United States of America
Depression, the most prevalent mental illness, is underdiagnosed and undertreated, highlighting the need to extend the scope of current screening methods. Here, we use language from Facebook posts of consenting individuals to predict depression recorded in electronic medical records. We accessed the history of Facebook statuses posted by 683 patients visiting a large urban academic emergency department, 114 of whom had a diagnosis of depression in their medical records. Using only the language
doi:10.1073/pnas.1802331115
pmid:30322910
pmcid:PMC6217418
fatcat:bxesxtm23bcujfogavzc3lirgy