Machine learning can improve prediction of lifetime major depressive disorder in Generation Scotland: Scottish Family Health Study

Mairead Bermingham, Daniel Urda Munoz, Felix Agakov, Archie Campbell, Caroline Hayward, Ella Wigmore, Jude Gibson, Toni-Kim Clarke, Ana Maria Fernández Pujals, Donald MacIntyre, Andrew McIntosh, Paul McKeigue, David Porteous, Kristin Nicodemus

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

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A pilot study on the genetic epidemiology of oral health disorders with in the Generation Scotland cohort
Bermingham, M. (Principal Investigator), Walls, A. (Principal Investigator), Porteous, D. (Principal Investigator) & Campbell, A. (Principal Investigator)
1/10/15 → 30/04/16
Project: University Awarded Project Funding
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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