Abstract: A method and system for generating best performing data models for datasets is disclosed. The method includes obtaining input dataset from external data sources. The method includes dividing dataset into three parts based on type of data variables and data samples. The method includes retrieving data modelling methods from a database and generating first set of data models for the first part of the dataset. The method includes determining first fitness function for the first part of the dataset based on the first set of data model. The method includes generating second set of data models for the second part of the dataset and determining second fitness function based on the second set of data model. Further, the method includes determining best performing data model among the first set of data models and the second set of data model. Additionally, the method includes outputting the best performing data model.

Abstract: A system and method for predicting the Continuous Cardiac Output (CCO) of patients is disclosed. The method includes receiving a request from one or more patients and one or medical professionals and determining a set of recovery patterns of the one or more patients. The method further classifying the one or more patients into one or more predefined profiles and predicting the CCO of the one or more patients based on the request, the set of recovery patterns and the result of classification by using health management based AI model. Further, the method includes generating one or more medical recommendations corresponding to the predicted CCO and outputting the predicted CCO of the one or more patients and the generated one or more medical recommendations on user interface screen of one or more electronic devices associated with the one or more patients and the one or more medical professionals.

Abstract: A method and system for generating best performing data models for datasets is disclosed. The method includes obtaining input dataset from external data sources. The method includes dividing dataset into three parts based on type of data variables and data samples. The method includes retrieving data modelling methods from a database and generating first set of data models for the first part of the dataset. The method includes determining first fitness function for the first part of the dataset based on the first set of data model. The method includes generating second set of data models for the second part of the dataset and determining second fitness function based on the second set of data model. Further, the method includes determining best performing data model among the first set of data models and the second set of data model. Additionally, the method includes outputting the best performing data model.

Abstract: The various embodiments of the present invention disclose a method and system for predicting a physiological condition of a patient during post-surgery recovery in Intensive Care Unit (ICU). The physiological condition is the Continuous Cardiac Output (CCO) of a patient ahead of time based on past physiological data.

Abstract: The various embodiments herein provide a method and system for identifying and extracting data from electronic documents. The method comprises of extracting text from scanned documents with location on page data using OCR technology, identifying one or more tables present in a page using patterns in text placement in rows and columns, identifying the table boundaries using a pattern recognition method, identifying table borders using the location on page data, identifying the rows and columns on the table based on the identified table borders, defining a table structure for data extraction and automatically extracting data from cells of the table formed by identified rows and columns.