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Performance of a computable phenotype for identification of patients with diabetes within PCORnet: The Patient-Centered Clinical Research Network
Author(s) -
A.D. Wiese,
C.L. Roumie,
J.B. Buse,
Heidy Peidro Guzman,
R. Bradford,
E. Zalimeni,
P. Knoepp,
H.L. Morris,
W.T. Donahoo,
N. Fanous,
B.F. Epstein,
B.L. Katalenich,
S.G. Ayala,
M.M. Cook,
K.J. Worley,
K.N. Bachmann,
C.G. Grijalva,
R.L. Rothman,
R.J. Chakkalakal
Publication year - 2019
Publication title -
carolina digital repository (university of north carolina at chapel hill)
Language(s) - English
DOI - 10.17615/e79y-0920
Subject(s) - identification (biology) , phenotype , diabetes mellitus , computational biology , computer science , medicine , genetics , biology , endocrinology , gene , botany

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