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Table 5 nRMSD scores for the continuous features in the test set. The best performances are highlighted in bold

From: Exploiting mutual information for the imputation of static and dynamic mixed-type clinical data with an adaptive k-nearest neighbours approach

Features

Imputation methods

 

Amelia II

MICE

missForest

k-RN

wk-NN

k-RN

wk-NN MI

    

k=10

k=10

k=20

k=20

BMI premorbid

0.1302

0.1353

0.1787

0.2047

0.1692

0.2034

0.1105

BMI diagnosis

0.1459

0.1227

0.1653

0.1968

0.1665

0.2033

0.1145

FVC diagnosis

0.2481

0.2401

0.2584

0.2036

0.1821

0.1980

0.1752

age at onset

0.2799

0.2650

0.2781

0.2024

0.1847

0.2061

0.1823

diagnostic delay

0.1286

0.1228

0.1350

0.1481

0.1209

0.1422

0.0958

onset delta

0.1489

0.1529

0.1910

0.1785

0.1512

0.1686

0.1210

Average

0.1803

0.1731

0.2011

0.1890

0.1624

0.1869

0.1332

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BMC Medical Informatics and Decision Making

ISSN: 1472-6947

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