Abstract: Currently systems for Length of Stay (LoS) and clinical interventions for patients work independent of each other. However, they are highly interdependent decisions for overall medical predictions for patients. Embodiments disclosed provide a method and system for transformer-based Neural Network (NN) for jointly predicting LoS and critical interventions for patients admitted to medical facilities. A joint NN model, comprising Bidirectional Encoder Representations from Transformers (BERT) model as one of the layers, processes first day clinical notes, available in an unstructured data format, and a plurality of medical attributes of the patient available in a structured data. Further, the joint NN model jointly predicts s (a) the LoS of the patient into one of the classes comprising LONG and SHORT and (b) a Type of Intervention (ToI) for the patient into one among a plurality of classes with each class of the ToI comprising a list of critical clinical interventions.

Abstract: Conventionally, text summarization has been rule-based method and neural network based which required large dataset for training and the summary delivered had to be assessed by user in terms of relevancy. System and method are provided by present disclosure that generate causal insight summaries wherein event of importance is detected, and it is determined why event is relevant to a user. Text description is processed for named entities recognition, polarities of sentences identified, extraction of causal effects sentences (CES) and causal relationship identification in text segments which correspond to impacting events. Named entities are then role labeled. A score is computed for named entities, polarities of sentences, causal effects sentences, causal relationships, and the impacting events. A causal insight summary is generated with overall polarity being computed/determined.

Abstract: The present disclosure provides a method and system to evaluate professional written communication skill of the user. Conventional methods are based on regression methods which are inefficient. Initially, the system receives the textual data from the user and pre-process the textual data to obtain a clean textual data. Further, a plurality of linguistic features is computed from the clean data. A plurality of psychological features is simultaneously computed from the clean textual data based on a psycholinguistic analysis. Further, a concatenated feature vector is computed based on the plurality of linguistic features and plurality of psychological features by a first Fully Connected Neural Network (FCNN). A contextual embedding is simultaneously computed based on the clean textual data by a Bidirectional Encoding Representations from Transformers.

Abstract: System and method for method and system for event profiling is described that processes large volume of data gathered from a plurality of digital sources to automatically profile and continuously update an event. The system utilizes, an ensemble of probabilistic classifiers for automated extraction of finer details of the event, which use linguistic features for profiling information about the event, wherein the information is spread across various data sources. Further, disambiguation is performed to augment the accuracy of the event profiling. The system enables semantically linking of related events curated in the knowledge base and thereby performs semantic search over it. The system takes user-feedback and improves upon the information extraction process through reinforcement learning.

Abstract: System and method for method and system for event profiling is described that processes large volume of data gathered from a plurality of digital sources to automatically profile and continuously update an event. The system utilizes, an ensemble of probabilistic classifiers for automated extraction of finer details of the event, which use linguistic features for profiling information about the event, wherein the information is spread across various data sources. Further, disambiguation is performed to augment the accuracy of the event profiling. The system enables semantically linking of related events curated in the knowledge base and thereby performs semantic search over it. The system takes user-feedback and improves upon the information extraction process through reinforcement learning.

Abstract: A non-transitory, tangible, computer-readable storage media may contain a program of instructions that causes a computer system having a processor running the program of instructions to: receive design information indicative of the design of a three-dimensional object to be printed by a three-dimensional printer; receive test product deformation information indicative of deformation in the profiles of no more than five, three-dimensional test products that have a circular or polygonal cross section that were made by the three-dimensional printer; generate polygon product deformation information indicative of a predicted deformation of a polygon shape that the three-dimensional printer will print and that has a number of sides and a number of sizes that are both different from each of the number of sides and number of sizes that the no more than five, three-dimensional test products have; and generate adjustment information indicative of an adjustment needed to print a desired profile of the polygon shape that

Abstract: A non-transitory, tangible, computer-readable storage media may contain a program of instructions that causes a computer system having a processor running the program of instructions to: receive design information indicative of the design of a three-dimensional object to be printed by a three-dimensional printer; receive test product deformation information indicative of deformation in the profiles of no more than five, three-dimensional test products that have a circular or polygonal cross section that were made by the three-dimensional printer; generate polygon product deformation information indicative of a predicted deformation of a polygon shape that the three-dimensional printer will print and that has a number of sides and a number of sizes that are both different from each of the number of sides and number of sizes that the no more than five, three-dimensional test products have; and generate adjustment information indicative of an adjustment needed to print a desired profile of the polygon shape that