Abstract: A system, method and computer program product configured for generating predictions using social data and comprising assembling data, using a processor, from multiple sources, wherein at least one of the sources comprises social data; and combining the data including using a processor configured for comparing corresponding data provided by more than one of the multiple sources.

Abstract: There are provided a system and method of image-based relationship analysis, the method including: obtaining a set of target images each including one or more image representations of one or more individuals, obtaining, for each image representation, a corresponding vector representation, clustering the multiple vector representations to a plurality of clusters of vector representations corresponding to a plurality of unique individuals, and obtaining, for each target image, one or more unique individuals associated therewith, for each given target image of at least one subset of the set, obtaining a set of image parameters; generating a local relationship matrix using the set of image parameters, the local relationship matrix being representative of local mutual relationships between the one or more unique individuals, thereby obtaining a set of local relationship matrices, and generating a global relationship matrix by combining a set of local relationship matrices.

Abstract: There are provided a system and method of image-based relationship analysis, the method including: obtaining a set of target images each including one or more image representations of one or more individuals, obtaining, for each image representation, a corresponding vector representation, clustering the multiple vector representations to a plurality of clusters of vector representations corresponding to a plurality of unique individuals, and obtaining, for each target image, one or more unique individuals associated therewith, for each given target image of at least one subset of the set, obtaining a set of image parameters; generating a local relationship matrix using the set of image parameters, the local relationship matrix being representative of local mutual relationships between the one or more unique individuals, thereby obtaining a set of local relationship matrices, and generating a global relationship matrix by combining a set of local relationship matrices.

Abstract: A computing device may compute the hospital admission risk of a patient as of a first risk calculation date after provision of one or more interventions for the patient. Each such intervention may be of a type that can readily be provided without bringing the patient to a hospital. According to one method, an input device may be used to receive first user input indicative of a first intervention performed for the patient. From a data store, a first risk factor corresponding to the first intervention, and a first time period over which the first risk factor is applicable, may be retrieved. At a processor, a first intervention date may be compared with the first risk calculation date to determine that the first risk calculation date is within the first time period. The first risk factor may be used to compute and display the hospital admission risk for the patient.