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

Mairead Bermingham; David Porteous; Donald MacIntyre; Toni-Kim Clarke; Kristin Nicodemus; Daniel Urda Munoz; Felix Agakov; Archie Campbell; Caroline Hayward; Eleanor Wigmore; Jude Gibson; Ana Maria Fernandez-Pujals; Donald MacIntyre; Andrew McIntosh; David Porteous; Kristin Nicodemus

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

Research output: Contribution to conference › Paper

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Machine learning can improve prediction of lifetime major depressive disorder in the Generation Scotland: Scottish Family Health Study. / Bermingham, Mairead; Porteous, David; MacIntyre, Donald; Clarke, Toni-Kim; Nicodemus, Kristin; Munoz, Daniel Urda; Agakov, Felix; Campbell, Archie; Hayward, Caroline; Wigmore, Eleanor; Gibson, Jude; Fernandez-Pujals, Ana Maria; MacIntyre, Donald; McIntosh, Andrew; Porteous, David; Nicodemus, Kristin.

2016. Paper presented at 44th European Mathematical Genetics Meeting (EMGM), Newcastle upon Tyne, United Kingdom.

Research output: Contribution to conference › Paper

Harvard

Bermingham, M, Porteous, D, MacIntyre, D, Clarke, T-K, Nicodemus, K, Munoz, DU, Agakov, F, Campbell, A, Hayward, C, Wigmore, E, Gibson, J, Fernandez-Pujals, AM, MacIntyre, D, McIntosh, A, Porteous, D & Nicodemus, K 2016, 'Machine learning can improve prediction of lifetime major depressive disorder in the Generation Scotland: Scottish Family Health Study', Paper presented at 44th European Mathematical Genetics Meeting (EMGM), Newcastle upon Tyne, United Kingdom, 11/05/16 - 12/05/16. <https://sites.google.com/site/emgmhome/newcastle2016/meeting/programme>

APA

Bermingham, M., Porteous, D., MacIntyre, D., Clarke, T-K., Nicodemus, K., Munoz, D. U., Agakov, F., Campbell, A., Hayward, C., Wigmore, E., Gibson, J., Fernandez-Pujals, A. M., MacIntyre, D., McIntosh, A., Porteous, D., & Nicodemus, K. (2016). Machine learning can improve prediction of lifetime major depressive disorder in the Generation Scotland: Scottish Family Health Study. Paper presented at 44th European Mathematical Genetics Meeting (EMGM), Newcastle upon Tyne, United Kingdom. https://sites.google.com/site/emgmhome/newcastle2016/meeting/programme

Vancouver

Bermingham M, Porteous D, MacIntyre D, Clarke T-K, Nicodemus K, Munoz DU et al. Machine learning can improve prediction of lifetime major depressive disorder in the Generation Scotland: Scottish Family Health Study. 2016. Paper presented at 44th European Mathematical Genetics Meeting (EMGM), Newcastle upon Tyne, United Kingdom.

Author

Bermingham, Mairead ; Porteous, David ; MacIntyre, Donald ; Clarke, Toni-Kim ; Nicodemus, Kristin ; Munoz, Daniel Urda ; Agakov, Felix ; Campbell, Archie ; Hayward, Caroline ; Wigmore, Eleanor ; Gibson, Jude ; Fernandez-Pujals, Ana Maria ; MacIntyre, Donald ; McIntosh, Andrew ; Porteous, David ; Nicodemus, Kristin. / Machine learning can improve prediction of lifetime major depressive disorder in the Generation Scotland: Scottish Family Health Study. Paper presented at 44th European Mathematical Genetics Meeting (EMGM), Newcastle upon Tyne, United Kingdom.