Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Syed Asil Ali Naqvi"'
Publikováno v:
Journal of Medical Internet Research, Vol 23, Iss 8, p e26843 (2021)
BackgroundKidney transplantation is the optimal treatment for patients with end-stage renal disease. Short- and long-term kidney graft survival is influenced by a number of donor and recipient factors. Predicting the success of kidney transplantation
Externí odkaz:
https://doaj.org/article/bb695ad77af64299bc2369afb08bf1d2
Publikováno v:
Studies in health technology and informatics. 281
This paper investigates the clinical attributes that contribute to kidney graft failure following live and deceased donor transplantation using an association rule mining approach. The generated rules are used to analyze the distinctive co-occurrence
Publikováno v:
MIE
This paper investigates the clinical attributes that contribute to kidney graft failure following live and deceased donor transplantation using an association rule mining approach. The generated rules are used to analyze the distinctive co-occurrence
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dcaf9d0f96ae432c6373fb26ed9d5f89
https://doi.org/10.3233/shti210146
https://doi.org/10.3233/shti210146
BACKGROUND Kidney transplantation is the optimal treatment for patients with end-stage renal disease. Short- and long-term kidney graft survival is influenced by a number of donor and recipient factors. Predicting the success of kidney transplantatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b875b77d7775a648fbac865faceff232
https://doi.org/10.2196/preprints.26843
https://doi.org/10.2196/preprints.26843
Autor:
Amanda J. Vinson, Syed Sibte Raza Abidi, Syed Asil Ali Naqvi, Patrice C. Roy, Karthik K. Tennankore
Publikováno v:
Journal of Medical Internet Research
Background Kidney transplantation is the optimal treatment for patients with end-stage renal disease. Short- and long-term kidney graft survival is influenced by a number of donor and recipient factors. Predicting the success of kidney transplantatio
Publikováno v:
Information Systems and Neuroscience ISBN: 9783030010867
Significant research has been conducted on human decision making behavior in recommendation systems during the past decade, yet it remains a challenge to design effective and efficient recommendation systems so that they not only produce useful sugge
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8bd8b0b855ca170972df2a0dbb8c73d8
https://doi.org/10.1007/978-3-030-01087-4_17
https://doi.org/10.1007/978-3-030-01087-4_17