Machine learning can improve prediction of depression in Generation Scotland

Mairead Bermingham, Daniel Urda Munoz, Felix Agakov, Archie Campbell, Ella Wigmore, Toni-Kim Clarke, Andrew McIntosh, Paul McKeigue, David Porteous, Kristin Nicodemus

Research output: Contribution to conference › Poster › peer-review

Original languageEnglish
Publication statusPublished - 1 Sept 2015
EventCCACE 8th Annual Research Day - Psychology Building, 7 George Square, Edinburgh, Edinburgh, United Kingdom
Duration: 1 Sept 2015 → …

Conference

ConferenceCCACE 8th Annual Research Day
Country/TerritoryUnited Kingdom
CityEdinburgh
Period1/09/15 → …

Keywords / Materials (for Non-textual outputs)

  • Major Depressive Disorder
  • Prediction
  • machine learning algorithm
  • Area Under Curve
  • Generation Scotland: the Scottish family health study

Access to Document

    • PreMDD: Predicting major depressive disorder

      Porteous, D. (Principal Investigator), Nicodemus, K. (Co-investigator), Agakov, F. (Co-investigator), McKeigue, P. (Co-investigator), Campbell, A. (Co-investigator), Bermingham, M. (Co-investigator), Munoz, D. U. (Co-investigator), McIntosh, A. (Co-investigator) & Marriage, H. M. (Co-investigator)

      1/04/15 → 30/09/15

      Project: University Awarded Project Funding

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