An Artificial Neural Network Stratifies the Risks of Reintervention and Mortality after Endovascular Aneurysm Repair; a Retrospective Observational study
about
Predictors of in-hospital mortality following major lower extremity amputations in type 2 diabetic patients using artificial neural networks.Feature selection through validation and un-censoring of endovascular repair survival data for predicting the risk of re-intervention.Using multiple classifiers for predicting the risk of endovascular aortic aneurysm repair re-intervention through hybrid feature selection.Surgical data science: The new knowledge domain.Real and predicted mortality under health spending constraints in Italy: a time trend analysis through artificial neural networks
P2860
An Artificial Neural Network Stratifies the Risks of Reintervention and Mortality after Endovascular Aneurysm Repair; a Retrospective Observational study
description
2015 nî lūn-bûn
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2015年の論文
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2015年論文
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2015年論文
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2015年論文
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name
An Artificial Neural Network S ...... rospective Observational study
@ast
An Artificial Neural Network S ...... rospective Observational study
@en
type
label
An Artificial Neural Network S ...... rospective Observational study
@ast
An Artificial Neural Network S ...... rospective Observational study
@en
prefLabel
An Artificial Neural Network S ...... rospective Observational study
@ast
An Artificial Neural Network S ...... rospective Observational study
@en
P2093
P2860
P50
P1433
P1476
An Artificial Neural Network S ...... rospective Observational study
@en
P2093
Alan Karthikesalingam
Edward C Choke
Luke Thompson
Matt M Thompson
Omneya Attallah
Peter J Holt
Robert D Sayers
Sandeep Singh Bahia
P2860
P304
P356
10.1371/JOURNAL.PONE.0129024
P407
P577
2015-07-15T00:00:00Z