Abstract: The system comprises a feature extraction processor for extracting a set of features from user data; a sensitivity score calculation processor for calculating the sensitivity score using a machine learning technique; an SVM model for classifying the dataset; a tracking unit for monitoring the outbound data transfers made by a DLP agent and identifying the outgoing data transfers of different data types; a central processing unit for determining a first reputation score and destination entity for a first outbound data transfer to a specified recipient entity, determining a subsequent standing score, and determining a first violation of a DLP policy, thereby determining a second violation of the DLP policy; and a controlling unit for carrying out at least one of the reporting and/or remedial actions in response to the first, second, or both violations and generating alert for approving or denying a particular first or second outbound data transfer.

Abstract: The system comprises a feature extraction processor for extracting a set of features from user data; a sensitivity score calculation processor for calculating the sensitivity score using a machine learning technique; an SVM model for classifying the dataset; a tracking unit for monitoring the outbound data transfers made by a DLP agent and identifying the outgoing data transfers of different data types; a central processing unit for determining a first reputation score and destination entity for a first outbound data transfer to a specified recipient entity, determining a subsequent standing score, and determining a first violation of a DLP policy, thereby determining a second violation of the DLP policy; and a controlling unit for carrying out at least one of the reporting and/or remedial actions in response to the first, second, or both violations and generating alert for approving or denying a particular first or second outbound data transfer.

Abstract: The system comprises an image acquisition device for collecting medical images; an image pre-processing device for enhancing the visual quality; an image segmentation device for extracting the region of interest from the image’s background by identifying each image’s pixel characteristics, and dividing the image into segments; a feature extraction and selection device for extracting a set of features and selecting the optimized features; a model training device for training a fuzzy logic-based prediction model and a plurality of diagnosis-specific treatment response models to predict treatment response; and a central processing device coupled to a user input device for receiving a subject patient dataset including features obtained for a reduced feature dataset and comparing the subject patient dataset to a feature data scheme for predicting a response for the subject patient thereby predicting the diseases in its early stage.