Browse
Browse and Search
Search
Explore more content
Data fields for the study.
docx
(20.35 kB)
File info
This item contains files with download restrictions
Fullscreen
Data fields for the study.docx
Cite
Download
(20.35 kB)
Share
Embed
online resource
posted on 2020-03-02, 22:37
authored by
Sameera Senanayake
Sameera Senanayake
This document is a supplementary file to the paper "Using machine learning techniques to develop risk prediction models to predict graft failure following kidney transplantation: protocol for a retrospective cohort study" published in F1000Research.
History
Usage metrics
Categories
Health informatics and information systems
Keywords
Kidney Transplant Recipients
machine Learning Methods Enable Predictive Modeling
Health Informatics
Licence
CC BY 4.0
Exports
Select an option
RefWorks
RefWorks
BibTeX
BibTeX
Ref. manager
Ref. manager
Endnote
Endnote
DataCite
DataCite
NLM
NLM
DC
DC