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1 Ergebnisse
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Application of machine learning to determine top predictors..:
Munger, Eric
;
Choi, Harry
;
Dey, Amit K.
...
Journal of the American Academy of Dermatology. 83 (2020) 6 - p. 1647-1653 , 2020
Link:
https://doi.org/10.1016/j.jaad.2019.10.060
RT Journal T1
Application of machine learning to determine top predictors of noncalcified coronary burden in psoriasis: An observational cohort study
UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.jaad.2019.10.060&Exemplar=1&LAN=DE A1 Munger, Eric A1 Choi, Harry A1 Dey, Amit K. A1 Elnabawi, Youssef A. A1 Groenendyk, Jacob W. A1 Rodante, Justin A1 Keel, Andrew A1 Aksentijevich, Milena A1 Reddy, Aarthi S. A1 Khalil, Noor A1 Argueta-Amaya, Jenis A1 Playford, Martin P. A1 Erb-Alvarez, Julie A1 Tian, Xin A1 Wu, Colin A1 Gudjonsson, Johann E. A1 Tsoi, Lam C. A1 Jafri, Mohsin Saleet A1 Sandfort, Veit A1 Chen, Marcus Y. A1 Shah, Sanjiv J. A1 Bluemke, David A. A1 Lockshin, Benjamin A1 Hasan, Ahmed A1 Gelfand, Joel M. A1 Mehta, Nehal N. PB Elsevier BV YR 2020 SN 0190-9622 JF Journal of the American Academy of Dermatology VO 83 IS 6 SP 1647 OP 1653 LK http://dx.doi.org/https://doi.org/10.1016/j.jaad.2019.10.060 DO https://doi.org/10.1016/j.jaad.2019.10.060 SF ELIB - SuUB Bremen
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