Machine Learning Improves Upon Clinicians' Prediction of End Stage Kidney Disease.

Chuah, Aaron; Walters, Giles; Christiadi, Daniel; Karpe, Krishna; Kennard, Alice; Singer, Richard; Talaulikar, Girish; Ge, Wenbo; Suominen, Hanna; Andrews, T Daniel; Jiang, Simon

Chuah, Aaron; Walters, Giles; Christiadi, Daniel; Karpe, Krishna; Kennard, Alice; Singer, Richard; Talaulikar, Girish; Ge, Wenbo; Suominen, Hanna; Andrews, T Daniel; Jiang, Simon.

Afiliação

Chuah A; Department of Immunology and Infectious Disease, John Curtin School of Medical Research, Australian National University (ANU), Canberra, ACT, Australia.
Walters G; Department of Renal Medicine, The Canberra Hospital, Garran, ACT, Australia.
Christiadi D; Department of Renal Medicine, The Canberra Hospital, Garran, ACT, Australia.
Karpe K; Department of Renal Medicine, The Canberra Hospital, Garran, ACT, Australia.
Kennard A; Department of Renal Medicine, The Canberra Hospital, Garran, ACT, Australia.
Singer R; Department of Renal Medicine, The Canberra Hospital, Garran, ACT, Australia.
Talaulikar G; Department of Renal Medicine, The Canberra Hospital, Garran, ACT, Australia.
Ge W; School of Computing, Australian National University, ACT, Australia.
Suominen H; School of Computing, Australian National University, ACT, Australia.
Andrews TD; Department of Computing, University of Turku, Turku, Finland.
Jiang S; Department of Immunology and Infectious Disease, John Curtin School of Medical Research, Australian National University (ANU), Canberra, ACT, Australia.