Abstract: 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.

Abstract: 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.

Abstract: The present invention relates to a method for communicating in a network, the network comprising at least a first cell and a second cell including respectively a first primary station having a first antenna array dedicated to the first cell and a second primary station having a second antenna array dedicated to the second cell, for communicating with a plurality of secondary stations, the method comprising the step of (a) providing with a co-operative beamforming transmission from the first and second primary stations to at least one first secondary station, wherein step (a) includes (a1) the first secondary station signaling at least one channel matrix to at least one of the first and second primary stations, and (a2) the first and second primary stations applying a precoding matrix across both the first antenna array and the second antenna array, and wherein the precoding matrix comprises a first vector for the first cell and a second vector for the second cell, the precoding matrix being based on the at le

Abstract: In pattern discovery visual analytics, a patient data table (14) 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 (20) of attribute values for w attributes (22). The prediction is positive if at least a threshold fraction (26) 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 (30) in accord with the positive or negative predictions and actual values of the target attribute T in the patient data table. A display component (4) displays a representation (42) 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 (44) is identified using the representation.

Abstract: Disclosed is a computer-implemented method (1) of assigning a task to a mobile communication device (212, 222) belonging to a pool (210, 220) of mobile communication devices, wherein each mobile communications device is associated with a trusted owner and is locatable by means of location information, the method comprising generating (10) a task to be performed; generating a set of task locations at which the task can be performed; receiving (20) location information for said mobile communications devices; deriving (30) a location for each mobile communications device from said location information; using the derived location to calculate (40) a cost score for each mobile communication device, said cost score indicating the cost of the trusted owner of said mobile communication device to reach a target location; and assigning (60) the task to a selected location in said set and to one of said mobile communications devices, wherein the task is assigned to the one of said mobile communications devices based on

Abstract: In a patient record identification apparatus, at least one query value relating to at least one medical condition is input (210). Patient records are received (220) 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 (230) 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 (240) into patient records relating to a positive outcome and into patient records relating to a negative outcome.

Abstract: The present invention relates to an apparatus, a system (100), a method (200), and a computer program for assessing the risk of an exacerbation and/or hospitalization. A patient's physical activity is measured (e.g., by an accelerometer (110)) during an active period of time (e.g., during awake hours) and during a rest period of time (e.g., during sleep hours) to gather first and second activity data. A risk of exacerbation and/or hospitalization is assessed (e.g., by a risk assessment unit (120)) based on an expression involving the respective activity data during active and rest periods fulfilling a predetermined relationship with respect to a predetermined activity level. For instance, low activity data during active periods and high activity data during rest periods indicates an increased risk of exacerbation and/or hospital readmission for the patient.

Abstract: The present invention relates to an apparatus (10) for patient data availability analysis. It is described to specify (210) a plurality of models, wherein each model provides output as a function of model variables. At least some model variables are defined (220) for the plurality of models. Source variables are specified (230), wherein a model variable can be derived from one or more source variables. At least one data source is specified (240). A plurality of data records are received (250) from the at least one data source, wherein each data record comprises at least one attribute. A set of available data records are determined (260) for each model from the plurality of data records, the determination for a model comprising utilizing the model variables for that model, the associated source variables and the at least one attribute for the plurality of data records.

Abstract: 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.

Abstract: A method of communicating between a primary station and a plurality of secondary stations is described. According to one aspect, the secondary station monitors a control channel search space for a control message from a primary station intended for the communication device. According to an aspect, the control message is indicative of a resource allocated to the secondary station for communicating with the primary station and the resource corresponds to a component carrier. The secondary station determines a control channel from the control channel search space having the control message intended for the secondary station and determines, based on a presence of the control channel on a specific component carrier, the indication of a resource set from a plurality of resources sets in which the resource allocated to the secondary station is located.

Abstract: An electronic clinical decision support (CDS) device executes (54) clinical decision rules (8) using a computer (10, 12) to generate predicted values of clinical conclusions (58) for a current patient based on values for the current patient of preconditions of the clinical decision rules (52). The rules are also executed (36) to generate predicted values of the clinical conclusions (38) for past patients based on values for the past patients of the preconditions (32) retrieved from an Electronic Medical Record (EMR) (20). Rule summary scores (42) are generated (40) based on comparisons of “ground truth” values of the clinical conclusions (34) for the past patients retrieved from the EMR with the predicted values of the clinical conclusions for the past patients. A display (14) shows the predicted values of the clinical conclusions and the corresponding applied rules for the current patient ranked at least in part by the rule summary scores.

Abstract: The present invention generally relates to time allocation of a clinical process. It is proposed in the present invention to introduce statistical significance as an indicator of the real improvement of activities in the modified time allocation against the original time allocation to achieve a statistically meaningful time allocation.

Abstract: The present invention relates to an apparatus (10) for patient record identification. It is described to input (210) at least one query value relating to at least one medical condition. Patient records are received (220) from a patient database. Each patient record comprises at least one attribute value relating to the at least one medical condition, and each patient record comprises information relating to an outcome of the at least one medical condition. A first set of patient records is determined (230) 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 (240) into patient records relating to a positive outcome for the at least one medical condition and into patient records relating to a negative outcome for the at least one medical condition.

Abstract: The present invention relates to a secondary station comprising means for communicating with at least one primary station, the secondary station comprising means for receiving from the primary station a subset of reference symbols selected out a set of possible reference symbols, the reference symbols of the subset being associated with a spatial channel, wherein a transmission characteristic of the subset of reference symbols depends on the spatial channel.

Abstract: 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.

Abstract: The present invention relates to a secondary station comprising means for communicating with at least one primary station, the secondary station comprising means for receiving from the primary station a subset of reference symbols selected out a set of possible reference symbols, the reference symbols of the subset being associated with a spatial channel, wherein a transmission characteristic of the subset of reference symbols depends on the spatial channel.

Abstract: The present invention relates to a method for communicating in a network, the network comprising at least a first cell and a second cell including respectively a first primary station having a first antenna array dedicated to the first cell and a second primary station having a second antenna array dedicated to the second cell, for communicating with a plurality of secondary stations, the method comprising the step of (a) providing with a co-operative beamforming transmission from the first and second primary stations to at least one first secondary station, wherein step (a) includes (a1) the first secondary station signaling at least one channel matrix to at least one of the first and second primary stations, and (a2) the first and second primary stations applying a precoding matrix across both the first antenna array and the second antenna array, and wherein the precoding matrix comprises a first vector for the first cell and a second vector for the second cell, the precoding matrix being based on the at le

Abstract: Presented is a concept for discovering a pattern in a dataset, where the dataset comprises a plurality of records, each record associated with a plurality of attribute values. The concept comprises defining a target attribute value and ascertaining a set of candidate attribute values based on the target attribute value. The set of candidate attribute values may be considered as a potential pattern in the dataset. For each record, the target attribute values and candidate attribute values are compared to the attribute values of that record so as to identify matching attribute values. A matching indicator is generated for each record based on a comparison between the number of matching attributes values and a matching threshold value, such that the matching indicator indicates a degree of similarity between the attribute values of the record and the set of candidate attribute values and the target attribute value.

Abstract: In pattern discovery visual analytics, a patient data table (14) 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 (20) of attribute values for w attributes (22). The prediction is positive if at least a threshold fraction (26) 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 (30) in accord with the positive or negative predictions and actual values of the target attribute T in the patient data table. A display component (4) displays a representation (42) 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 (44) is identified using the representation.

Abstract: The present invention relates to a method for communicating in a network, the network comprising at least a first cell and a second cell including respectively a first primary station having a first antenna array dedicated to the first cell and a second primary station having a second antenna array dedicated to the second cell, for communicating with a plurality of secondary stations, the method comprising the step of (a) providing with a co-operative beamforming transmission from the first and second primary stations to at least one first secondary station, wherein step (a) includes (a1) the first secondary station signaling at least one channel matrix to at least one of the first and second primary stations, and (a2) the first and second primary stations applying a precoding matrix across both the first antenna array and the second antenna array, and wherein the precoding matrix comprises a first vector for the first cell and a second vector for the second cell, the precoding matrix being based on the a