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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 <Title>Application of machine learning to determine top predictors of noncalcified coronary burden in psoriasis: An observational cohort study</Title>

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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