Ontology highlight
ABSTRACT:
SUBMITTER: Eichstaedt JC
PROVIDER: S-EPMC6217418 | biostudies-other | 2018 Oct
REPOSITORIES: biostudies-other
Eichstaedt Johannes C JC Smith Robert J RJ Merchant Raina M RM Ungar Lyle H LH Crutchley Patrick P Preoţiuc-Pietro Daniel D Asch David A DA Schwartz H Andrew HA
Proceedings of the National Academy of Sciences of the United States of America 20181015 44
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 p ...[more]