The Future Role of Machine Learning in Clinical Transplantation
- Authors
- Abdeltawab
- Agniel
- Akl
- Al-Ebbini
- Arrieta-Bolaños
- Attia
- Ayllón
- Bajard
- Barbosa
- Bertsimas
- Brier
- Brocklehurst
- Brown
- Byra
- Cassinotto
- Celie
- Char
- Christakoudi
- Church
- Collins
- Crigger
- Cruz-Ramírez
- Dag
- Dakhoul
- Davis
- Decruyenaere
- Delen
- Doshi-Velez
- Emparan
- Esteva
- Fouad
- Goldfarb-Rumyantzev
- Gottesman
- Grantham
- Greco
- Halloran
- He
- Heaven
- Hermsen
- Hummel
- Kannan
- Kelly
- Khosravi
- Khush
- Kim
- Kolachalama
- Krikov
- Kurian
- Lasserre
- Lau
- Le
- Lee
- Li
- Litjens
- Liu
- Liu
- Lofaro
- Loupy
- Lu
- Magruder
- Mark
- Marsh
- McCarthy
- Medved
- Miller
- Miller
- Minssen
- Molinari
- Moulavi
- Nematollahi
- Niel
- Nilsson
- Nursetyo
- Oztekin
- Pallardó Mateu
- Petrovsky
- Pihlstrøm
- Purcell
- Reeve
- Rudge
- Rudin
- Safdar
- Santori
- Shahmoradi
- Shaikhina
- Shannon
- Sharma
- Simms
- Spratt
- Stokes
- Størset
- Sullivan
- Tang
- Tapak
- Thishya
- Tjaden
- Tomašev
- Topuz
- van Gastel
- Venner
- Watkins
- Wu
- Yoo
- Yoon
- Zarins
- Zarrinpar
- Zhang
- Publication date
- 1 April 2021
- Publisher
- 'Ovid Technologies (Wolters Kluwer Health)'
- Doi
Abstract
Abstract is not available.Similar works
Available Versions
Last time updated on 05/09/2020