Screening pregnant women for suicidal behavior in electronic medical records: diagnostic codes vs. clinical notes processed by natural language processing.

Abstract

Authors

• Qiu-Yue Zhong
  Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA. qyzhong@mail.harvard.edu.
• Elizabeth W Karlson
  Division of Rheumatology, Immunology and Allergy, Brigham and Women's Hospital, Boston, MA 02115, USA Harvard Medical School, Boston.
• Bizu Gelaye
  Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA.
• Sean Finan
  From Research Information Systems and Computing (V.M.C., V.G., S.M.), Partners Healthcare; Boston Children's Hospital Informatics Program (D.D., S.F., G.S.); Harvard Medical School (D.D., S.Y., A.C., M.A.-E.-B., N.A.S., S.M., S.T.W., R.D.); Department of Medicine (S.Y., S.T.W.), Department of Neurosurgery (A.C., M.A.-E.-B., R.D.), Division of Rheumatology, Immunology and Allergy (N.A.S.), and Channing Division of Network Medicine (S.T.W., R.D.), Brigham and Women's Hospital, Boston, MA; Center for Statistical Science (S.Y.), Tsinghua University, Beijing, China; Department of Neurology (S.M.), Massachusetts General Hospital; and Biostatistics (T.C.), Harvard School of Public Health, Boston, MA.
• Paul Avillach
  Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA.
• Jordan W Smoller
• Tianxi Cai
  Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, United States.
• Michelle A Williams
  Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA.

Keywords

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