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Table 2 nRMSD scores for the continuous features in the training 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

0.1012

0.0960

0.1323

0.1634

0.1286

0.1617

0.0731

BMI diagnosis

0.1560

0.1069

0.1476

0.1750

0.1457

0.1687

0.0965

FVC diagnosis

0.2466

0.2463

0.2534

0.1970

0.1876

0.1953

0.1839

age at onset

0.2355

0.2362

0.2393

0.1855

0.1748

0.1820

0.1735

diagnostic delay

0.1150

0.1218

0.1316

0.1484

0.1282

0.1495

0.0850

onset delta

0.1362

0.1362

0.1665

0.1848

0.1584

0.1778

0.1049

Average

0.1651

0.1572

0.1784

0.1757

0.1539

0.1725

0.1195

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BMC Medical Informatics and Decision Making

ISSN: 1472-6947

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