Multicomponent prediction of 2‐year mortality and amputation in patients with diabetic foot using a...
Multicomponent prediction of 2‐year mortality and amputation in patients with diabetic foot using a random survival forest model: Uric acid, alanine transaminase, urine protein and platelet as important predictors
About this item
Full title
Author / Creator
Li, Mingzhuo , Tang, Fang , Lao, Jiahui , Yang, Yang , Cao, Jia , Song, Ru , Wu, Peng and Wang, Yibing
Publisher
Oxford, UK: Blackwell Publishing Ltd
Journal title
Language
English
Formats
Publication information
Publisher
Oxford, UK: Blackwell Publishing Ltd
Subjects
More information
Scope and Contents
Contents
The current methods for the prediction of mortality and amputation for inpatients with diabetic foot (DF) use only conventional, simple variables, which limits their performance. Here, we used a random survival forest (RSF) model and multicomponent variables to improve the prediction of mortality and amputation for these patients. We performed a re...
Alternative Titles
Full title
Multicomponent prediction of 2‐year mortality and amputation in patients with diabetic foot using a random survival forest model: Uric acid, alanine transaminase, urine protein and platelet as important predictors
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_10824700
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_10824700
Other Identifiers
ISSN
1742-4801
E-ISSN
1742-481X
DOI
10.1111/iwj.14376
