Harvard Catalyst Profiles

Contact, publication, and social network information about Harvard faculty and fellows.

Elizabeth Wood Karlson, M.D.

Co-Author

This page shows the publications co-authored by Elizabeth Karlson and Jordan Smoller.
Connection Strength

0.784
  1. Choi KW, Zheutlin AB, Karlson RA, Wang MJ, Dunn EC, Stein MB, Karlson EW, Smoller JW. Physical activity offsets genetic risk for incident depression assessed via electronic health records in a biobank cohort study. Depress Anxiety. 2020 02; 37(2):106-114.
    View in: PubMed
    Score: 0.241
  2. Boutin NT, Mathieu K, Hoffnagle AG, Allen NL, Castro VM, Morash M, O'Rourke PP, Hohmann EL, Herring N, Bry L, Slaugenhaupt SA, Karlson EW, Weiss ST, Smoller JW. Implementation of Electronic Consent at a Biobank: An Opportunity for Precision Medicine Research. J Pers Med. 2016 Jun 09; 6(2).
    View in: PubMed
    Score: 0.190
  3. Smoller JW, Karlson EW, Green RC, Kathiresan S, MacArthur DG, Talkowski ME, Murphy SN, Weiss ST. An eMERGE Clinical Center at Partners Personalized Medicine. J Pers Med. 2016 Jan 20; 6(1).
    View in: PubMed
    Score: 0.185
  4. Zhong QY, Gelaye B, Karlson EW, Avillach P, Smoller JW, Cai T, Williams MA. Associations of antepartum suicidal behaviour with adverse infant and obstetric outcomes. Paediatr Perinat Epidemiol. 2019 03; 33(2):137-144.
    View in: PubMed
    Score: 0.057
  5. Zhong QY, Mittal LP, Nathan MD, Brown KM, Knudson González D, Cai T, Finan S, Gelaye B, Avillach P, Smoller JW, Karlson EW, Cai T, Williams MA. Use of natural language processing in electronic medical records to identify pregnant women with suicidal behavior: towards a solution to the complex classification problem. Eur J Epidemiol. 2019 Feb; 34(2):153-162.
    View in: PubMed
    Score: 0.056
  6. Zhong QY, Karlson EW, Gelaye B, Finan S, Avillach P, Smoller JW, Cai T, Williams MA. Screening pregnant women for suicidal behavior in electronic medical records: diagnostic codes vs. clinical notes processed by natural language processing. BMC Med Inform Decis Mak. 2018 05 29; 18(1):30.
    View in: PubMed
    Score: 0.054
Connection Strength
The connection strength for co-authors is the sum of the scores for each of their shared publications.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
Funded by the NIH National Center for Advancing Translational Sciences through its Clinical and Translational Science Awards Program, grant number UL1TR002541.