Koninklijke Philips Corporation N.v.

Tak Ming Chan

Choo Chiap Chiau

Niels Laute

Niels Roman Rotgans

Chun Qi Shi

Jurriën Carl Gosselink

Johanna Marie De Bont

The invention discloses a system configured for assessing performance data, the system comprising a memory comprising instruction data representing a set of instructions; and a processor configured to communicate with the memory and to execute the set of instructions. The set of instructions, when executed by the processor, cause the processor to: acquire a plurality of performance data records associated with a performance indicator; classify each performance data record according to the performance indicator; identify a plurality of variables in the performance data records that contribute to the classifications; determine, based on the plurality of variables, a plurality of observations relating to the performance indicator and at least one variable of the plurality of variables; and deliver the plurality of observations for presentation to a user. A method is also disclosed.

Assessing performance data

A data processing system and related method. The system comprises an input interface for receiving data to be data-mined for a target. A categorizer configured to compute one or more category operators suitable to categorize said data. The computing by the categorizer of the category operators includes computing a metric. The system further includes an output interface for outputting the so computed one or more category operators.

Method and system of intelligent numeric categorization of noisy data

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.

Pattern discovery visual analytics system to analyze characteristics of clinical data and generate patient cohorts

In a patient record identification apparatus, at least one query value relating to at least one medical condition is input (). Patient records are received () from a patient database. Each patient record includes at least one attribute value relating to the at least one medical condition, and each patient record includes information relating to an outcome of the at least one medical condition. A first set of patient records is determined () based on a similarity between the at least one query value input by the user and the at least one attribute value for the patient records. The first set of patient records is separated () into patient records relating to a positive outcome and into patient records relating to a negative outcome. An implemented model calculates () at least one outcome probability for the at least one medical condition for each patient record of the first set of patient records based on the at least one attribute value for each patient record of the first set of patient records. A second set of patient records is determined () from the first set of patient records including a number of patient records in a first sub-set of the patient records relating to the positive outcome and a number of patient records in a second sub-set of the patient records relating to the negative outcome and the at least one outcome probability for the at least one medical condition for each patient record of the first sub-set and second sub-set of the patient records.

Growing community of inventors

Shanghai, China

Tak Ming Chan