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Fig. 1 | BMC Medical Informatics and Decision Making

Fig. 1

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

Fig. 1

Sample construction for imputation and survival classification. a Sample construction for each patient with missing data to be imputed. b Candidate sample construction procedure. In this example, subject i has n=4 visits in the first three months of screening (one in the first month, two in the second and one in the third) while candidate j has 3 visits in this interval (one visit per month). Since the visit at tj,2 matches both visits at ti,2 and ti,3, its dynamic feature values are repeated twice in the resulting feature vector (sample). c Survival classification sample construction for each patient

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