Koninklijke Philips Corporation N.v.

Johanna Marie De Bont

Choo Chiap Chiau

Niels Laute

Niels Roman Rotgans

Tak Ming Chan

Jurriën Carl Gosselink

In pattern discovery visual analytics, a patient data table () is generated that tabulates, for each patient, attribute values for a set of attributes. A positive or negative prediction is generated for each patient for a target value of a target attribute using a prediction pattern () of attribute values for w attributes (). The prediction is positive if at least a threshold fraction () of the w attributes of the patient match the prediction pattern, is negative otherwise. Patients are grouped into a selected proportion of a confusion matrix () in accord with the positive or negative predictions and actual values of the target attribute T in the patient data table. A display component () displays a representation () of patient statistics for the selected proportion of the confusion matrix on a per-attribute basis for attributes of the w attributes. A patient cohort () is identified using the representation.

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Eindhoven, Netherlands

Johanna Marie De Bont