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Predicting and elucidating the etiology of fatty liver disease: A machine learning modeling and validation study in the IMI DIRECT cohorts

Lookup NU author(s): Dr Ana ViñuelaORCiD, Dr Alison Heggie, Donna McEvoy, Professor Mark Walker

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This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


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Author(s): Atabaki-Pasdar N, Ohlsson M, Viñuela A, Frau F, Pomares-Millan H, Haid M, Jones AG, Thomas EL, Koivula RW, Kurbasic A, Mutie PM, Fitipaldi H, Fernandez J, Dawed AY, Giordano GN, Forgie IM, McDonald TJ, Rutters F, Cederberg H, Chabanova E, Dale M, De Masi F, Thomas CE, Allin KH, Hansen TH, Heggie A, Hong M-G, Elders PJM, Kennedy G, Kokkola T, Pedersen HK, Mahajan A, McEvoy D, Pattou F, Raverdy V, Häussler RS, Sharma S, Thomsen HS, Vangipurapu J, Vestergaard H, ‘t Hart LM, Adamski J, Musholt PB, Soren B, Brunak S, Dermitzakis E, Frost G, Hansen T, Laakso M, Pedersen O, Ridderstråle M, Ruetten H, Hattersley AT, Walker M, Beulens JWJ, Mari A, Schwenk JM

Publication type: Article

Publication status: Published

Journal: PLoS Medicine

Year: 2020

Volume: 17

Issue: 6

Online publication date: 19/06/2020

Acceptance date: 22/05/2020

Date deposited: 15/07/2020

ISSN (print): 1549-1277

ISSN (electronic): 1549-1676

Publisher: Public Library of Science

URL: https://doi.org/10.1371/journal.pmed.1003149

DOI: 10.1371/journal.pmed.1003149


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