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F29INVESTIGATING SUPERVISED MACHINE LEARNING METHODS FOR PREDICTION OF SCHIZOPHRENIA IN UK BIOBANK.

Authors :
Bracher-Smith, Matthew
Menzies, Georgina
Kendall, Kimberley
Pepelyshev, Andrey
Rees, Elliot
O'Donovan, Michael
Owen, Michael
Kirov, George
Escott-Price, Valentina
Source :
European Neuropsychopharmacology. 2019 Supplement4, Vol. 29, pS1125-S1125. 1p.
Publication Year :
2019

Abstract

Highlights from the article: F29investigating supervised machine learning methods for prediction of schizophrenia in uk biobank B Background: b Supervised machine learning encompasses a range of methods for learning patterns from labelled data. This study has developed and tested a machine learning framework for analysis of UK Biobank data and investigated several approaches using genetic variants for prediction.

Details

Language :
English
ISSN :
0924977X
Volume :
29
Database :
Academic Search Index
Journal :
European Neuropsychopharmacology
Publication Type :
Academic Journal
Accession number :
137723641
Full Text :
https://doi.org/10.1016/j.euroneuro.2018.08.109