Machine Learning Optimised for Personalized Medicine: Predicting Lifetime and Recurrent Depression in the Generation Scotland Cohort Study

Research output: Contribution to journal › Meeting abstract › peer-review

Original language	English
Pages (from-to)	679-679
Number of pages	1
Journal	Genetic Epidemiology
Volume	41
Issue number	7
Publication status	Published - Nov 2017
Event	Annual Meeting of the International-Genetic-Epidemiology-Society (IGES) - Cambridge Duration: 9 Sept 2017 → 11 Sept 2017

Cite this

@article{ec2431203e774fcb9a87e1faea895ccd,

title = "Machine Learning Optimised for Personalized Medicine: Predicting Lifetime and Recurrent Depression in the Generation Scotland Cohort Study",

author = "Viktoria-Eleni Gountouna and Archie Campbell and Porteous, {David J.} and Nicodemus, {Kristin K.}",

year = "2017",

month = nov,

language = "English",

volume = "41",

pages = "679--679",

journal = "Genetic Epidemiology",

issn = "0741-0395",

publisher = "Wiley-Liss Inc.",

number = "7",

note = "Annual Meeting of the International-Genetic-Epidemiology-Society (IGES) ; Conference date: 09-09-2017 Through 11-09-2017",

}

TY - JOUR

T1 - Machine Learning Optimised for Personalized Medicine

T2 - Annual Meeting of the International-Genetic-Epidemiology-Society (IGES)

AU - Gountouna, Viktoria-Eleni

AU - Campbell, Archie

AU - Porteous, David J.

AU - Nicodemus, Kristin K.

PY - 2017/11

Y1 - 2017/11

M3 - Meeting abstract

SN - 0741-0395

VL - 41

SP - 679

EP - 679

JO - Genetic Epidemiology

JF - Genetic Epidemiology

IS - 7

Y2 - 9 September 2017 through 11 September 2017

ER -