Development and validation of classifiers and variable subsets for predicting nursing home admission

Development and validation of classifiers and variable subsets for predicting nursing home admission

Abstract Background In previous years a substantial number of studies have identified statistically important predictors of nursing home admission (NHA). However, as far as we know, the analyses have been done at the population-level. No prior research has analysed the prediction accuracy of a NHA m...

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Bibliographic Details
Main Authors: Mikko Nuutinen, Riikka-Leena Leskelä, Ella Suojalehto, Anniina Tirronen, Vesa Komssi
Format: Article
Language:English
Published: BMC 2017-04-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Nursing home admission
Classifier
Classification accuracy
Variable selection
Online Access:http://link.springer.com/article/10.1186/s12911-017-0442-4

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http://link.springer.com/article/10.1186/s12911-017-0442-4

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