Classification algorithms for hip fracture prediction based on recursive partitioning methods.
about
Cost-saving tree-structured survival analysis for hip fracture of study of osteoporotic fractures data.Decision tree methods: applications for classification and predictionThe Optimal Linear Combination of Multiple Predictors Under the Generalized Linear Models.Machine Learning Principles Can Improve Hip Fracture Prediction.Logistic Regression-Based Trichotomous Classification Tree and Its Application in Medical Diagnosis.Alternative tree-structured survival analysis based on variance of survival time.A procedure for determining whether a simple combination of diagnostic tests may be noninferior to the theoretical optimum combination.
P2860
Q33681839-83453274-3EE3-43C5-A893-14512B154939Q35740690-97F42934-C96E-4421-BDC8-7D37D534F6BAQ37409689-09004251-243D-402B-8352-7FC3270155E4Q38961325-A5D3085C-D350-4CE3-AC65-95608E82A878Q40083130-AA673CB0-2DC4-4E57-B3C4-32DD78285E78Q45045294-0E503299-602F-488E-937A-15F90181A7C6Q53837575-FCDC10AA-7B44-4B92-82AA-9E4FA7CC6039
P2860
Classification algorithms for hip fracture prediction based on recursive partitioning methods.
description
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name
Classification algorithms for ...... ecursive partitioning methods.
@en
Classification algorithms for ...... ecursive partitioning methods.
@nl
type
label
Classification algorithms for ...... ecursive partitioning methods.
@en
Classification algorithms for ...... ecursive partitioning methods.
@nl
prefLabel
Classification algorithms for ...... ecursive partitioning methods.
@en
Classification algorithms for ...... ecursive partitioning methods.
@nl
P2093
P2860
P356
P1476
Classification algorithms for ...... ecursive partitioning methods.
@en
P2093
Dennis M Black
Harry K Genant
Katie Stone
Marc C Hochberg
Steven T Harris
P2860
P304
P356
10.1177/0272989X04267009
P577
2004-07-01T00:00:00Z