
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,
H. 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