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

Autor: Atabaki-Pasdar, N, Ohlsson, M, Vinuela, 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, Masi, FD, 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, Haussler, RS, Sharma, S, Thomsen, HS, Vangipurapu, J, Vestergaard, H, 't Hart, LM, Adamski, J, Musholt, PB, Brage, S, Brunak, S, Dermitzakis, E, Frost, G, Hansen, T, Laakso, M, Pedersen, O, Ridderstrale, M, Ruetten, H, Hattersley, AT, Walker, M, Beulens, JWJ, Mari, A, Schwenk, JM, Gupta, R, McCarthy, MI, Pearson, ER, Bell, JD, Pavo, I, Franks, PW

Publikováno v: PLoS Medicine, 17(6):e1003149. Public Library of Science
PLoS Medicine
Atabaki-Pasdar, N, Ohlsson, M, Viñuela, A, Frau, F, Pomares-Millan, H, Haid, M, Jones, A G, Louise Thomas, E, Koivula, R W, Kurbasic, A, Mutie, P M, Fitipaldi, H, Fernandez, J, Dawed, A Y, Giordano, G N, Forgie, I M, McDonald, T J, Rutters, F, Cederberg, H, Chabanova, E, Dale, M, de Masi, F, Thomas, C E, Allin, K H, Hansen, T H, Heggie, A, Hong, M G, Elders, P J M, Kennedy, G, Kokkola, T, Pedersen, H K, Mahajan, A, McEvoy, D, Pattou, F, Raverdy, V, Häussler, R S, Sharma, S, Thomsen, H S, Vangipurapu, J, Vestergaard, H, T Hart, L M, Adamski, J, Musholt, P B, Brage, S, Brunak, S, Dermitzakis, E, Frost, G, Hansen, T, Laakso, M, Pedersen, O, Ridderstråle, M, Ruetten, H, Hattersley, A T, Walker, M, Beulens, J W J, Mari, A, Schwenk, J M, Gupta, R, McCarthy, M I, Pearson, E R, Bell, J D, Pavo, I & Franks, P W 2020, ' Predicting and elucidating the etiology of fatty liver disease : A machine learning modeling and validation study in the IMI DIRECT cohorts ', PLoS Medicine, vol. 17, no. 6, e1003149 . https://doi.org/10.1371/journal.pmed.1003149
Atabaki-Pasdar, N, Ohlsson, M, Viñuela, A, Frau, F, Pomares-Millan, H, Haid, M, Jones, A G, Thomas, E L, Koivula, R W, Kurbasic, A, Mutie, P M, Fitipaldi, H, Fernandez, J, Dawed, A Y, Giordano, G N, Forgie, I M, McDonald, T J, Rutters, F, Cederberg, H, Chabanova, E, Dale, M, Masi, F D, Thomas, C E, Allin, K H, Hansen, T H, Heggie, A, Hong, M G, Elders, P J M, Kennedy, G, Kokkola, T, Pedersen, H K, Mahajan, A, McEvoy, D, Pattou, F, Raverdy, V, Häussler, R S, Sharma, S, Thomsen, H S, Vangipurapu, J, Vestergaard, H, 't Hart, L M, Adamski, J, Musholt, P B, Brage, S, Brunak, S, Dermitzakis, E, Frost, G, Hansen, T, Laakso, M, Pedersen, O, Ridderstråle, M, Ruetten, H, Hattersley, A T, Walker, M, Beulens, J W J, Mari, A, Schwenk, J M, Gupta, R, McCarthy, M I, Pearson, E R, Bell, J D, Pavo, I & Franks, P W 2020, ' Predicting and elucidating the etiology of fatty liver disease : A machine learning modeling and validation study in the IMI DIRECT cohorts ', PLoS Medicine, vol. 17, no. 6, pp. e1003149 . https://doi.org/10.1371/journal.pmed.1003149
PLoS Medicine, Vol 17, Iss 6, p e1003149 (2020)
PLoS Medicine, 17(6). PUBLIC LIBRARY SCIENCE

Background Non-alcoholic fatty liver disease (NAFLD) is highly prevalent and causes serious health complications in individuals with and without type 2 diabetes (T2D). Early diagnosis of NAFLD is important, as this can help prevent irreversible damag

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid_dedup__::c1bc926a99b5302cc30d7245d0440117
https://research.vumc.nl/en/publications/f7988584-4096-47b4-b939-809f82641881

Baseline C-reactive protein is associated with incident cancer and survival in patients with cancer.

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