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This book discusses major technical advancements and research findings in the field of prognostic modelling in healthcare image and data;
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Add a touch of data analytics to your healthcare systems and get insightful outcomes Key Features Perform healthcare analytics with Python;
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Data Analytics in Biomedical Engineering and Healthcare explores key applications using data analytics, machine learning, and deep learning;
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to identify the most impactful operational interventions before changing operations. This includes: A thorough introduction to data;
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sitting on growing mountains of data. Not only does the data grow from patient volume but the type of data we store is also growing exponentially;
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Big Data Analytics Methods unveils secrets to advanced analytics techniques ranging from machine learning, random forest classifiers;
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Internet of Things (IOT) , Big data analytics, Blockchain, Artificial Intelligence (AI) , Optimisation and Predictive Analytics; (2) Illustrating;
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Internet of Things Advanced healthcare for domestic medical tourism system Edge computing for data analytics This book on;
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Predictive analytics has revolutionized marketing practice. It involves using many techniques from data mining, statistics, modelling;
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This book constitutes the refereed proceedings of the 6th International Conference on Big Data analytics, BDA 2018, held in Warangal, India;
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techniques used in the processing and analysis of such data Advanced Data Analytics for Healthcare - covers advanced analytical methods, including;
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; advanced methods of interactive data mining for personalized medicine.;
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Make sense of your data and predict the unpredictable About This Book * A unique book that centers around develop six key practical;
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intelligence for making better healthcare decisions. Identifying patterns and correlations contained in complex health data, analytics has applications;
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defines sports data to be used and explains why the unique nature of sports would make analytics useful. The book also explains why the proper use;
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defines sports data to be used and explains why the unique nature of sports would make analytics useful. The book also explains why the proper use;
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ubiquitous sensors cocooned into the IoT requires advanced analytics to transform data into information. With advances in computing power;
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Gain practical insights by exploiting data in your business to build advanced predictive modeling applications Key Features A step;
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Learn advanced techniques to improve the performance and quality of your predictive models Key Features Use ensemble methods to improve the;
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Artificial Intelligence and Big Data Analytics for Smart Healthcare serves as a key reference for practitioners and experts involved;
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Explore the big data field and learn how to perform data analytics and predictive modelling in STATA About This Book * Visualize and;
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understanding business performance based on extensive use of data, statistical and quantitative analysis, explanatory and predictive modeling, and fact;
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Step-by-step guide to build high performing predictive applications Key Features Use the Python data analytics ecosystem to implement end;
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Demystifying Big Data, Machine Learning, and Deep Learning for Healthcare Analytics presents the changing world of data utilization;
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and the Automated Modeler to the Data Manager and Social Network Analysis. Get predictive analysis working for you. Highlights include;
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Meta-Analytics: Consensus Approaches and System Patterns for Data Analysis presents an exhaustive set of patterns for data science to use;
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