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Green Computing and Predictive Analytics for Healthcare

Green Computing and Predictive Analytics for Healthcare excavates the rudimentary concepts of Green Computing, Big Data and the Internet;

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Healthcare Analytics Made Simple

reviewed. By the end of this book, you will understand how to use Python for healthcare data analysis, how to import, collect, clean, and refine;

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Intelligent Systems

This book features best selected research papers presented at the International Conference on Machine Learning, Internet of Things and Big;

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Using Predictive Analytics to Improve Healthcare Outcomes

, palliative care, infection reduction, reducing rates of readmission for heart failure, and more-all resulting in action plans allowing clinicians to;

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Data Analytics in Biomedical Engineering and Healthcare

in health sciences and biomedical data. The book is useful for those working with big data analytics in biomedical research, medical industries, and;

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Practical Predictive Analytics and Decisioning Systems for Medicine

. Practical Predictive Analytics and Decisioning Systems for Medicine provides research tools to analyze these large amounts of data and addresses;

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Understanding the Predictive Analytics Lifecycle

of industries that include banking, megaresorts, mobile operators, healthcare, manufacturing, and retail, the book successfully illustrates each phase;

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Predictive Analytics in Healthcare, Volume1

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Practical Predictive Analytics

of healthcare, marketing, and other business domains Who This Book Is For This book is for those with a mathematical/statistics background who wish;

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Computing Predictive Analytics, Business Intelligence, and Economics

support areas ranging from intelligent business interfaces and predictive analytics to economics modeling. Applications for management;

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Computing Predictive Analytics, Business Intelligence, and Economics

support areas ranging from intelligent business interfaces and predictive analytics to economics modeling. Applications for management science;

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Making Healthcare Green

This book offers examples of how data science, big data, analytics, and cloud technology can be used in healthcare to significantly improve;

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Making Healthcare Green

This book offers examples of how data science, big data, analytics, and cloud technology can be used in healthcare to significantly improve;

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Deep Learning and Edge Computing Solutions for High Performance Computing

This book provides an insight into ways of inculcating the need for applying mobile edge data analytics in bioinformatics and medicine. The;

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Advances on Smart and Soft Computing

This book gathers high-quality papers presented at the First International Conference of Advanced Computing and Informatics (ICACIn 2020;

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International Conference on Mobile Computing and Sustainable Informatics

. The recent research efforts on this evolving paradigm help to advance the technologies for next-generation, where socio-economic growth and;

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Artificial Intelligence and Big Data Analytics for Smart Healthcare

Artificial Intelligence and Big Data Analytics for Smart Healthcare serves as a key reference for practitioners and experts involved;

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Healthcare Data Analytics

At the intersection of computer science and healthcare, data analytics has emerged as a promising tool for solving problems across many;

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SAP Predictive Analytics The Comprehensive Guide Rheinwerk Publishing

and the Automated Modeler to the Data Manager and Social Network Analysis. Get predictive analysis working for you. Highlights include;

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Healthcare 4.0

This book aims to demonstrate the benefits of implementing Industry 4.0 in healthcare services and to recommend a framework to support this;

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Digital Health in Focus of Predictive, Preventive and Personalised Medicine

, prediction and prevention * Cognitive algorithms for healthcare handling dynamic context management;

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Meta-Analytics

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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IoT-Based Data Analytics for the Healthcare Industry

IoT Based Data Analytics for the Healthcare Industry: Techniques and Applications explores recent advances in the analysis of healthcare;

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Distributed Computing in Big Data Analytics

considerations that make big data analytics possible within stipulated cost and time practical for consumption by human and machines. However, the;

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Big Data Analytics

, in December 2018. The 29 papers presented in this volume were carefully reviewed and selected from 93 submissions. The papers are organized in topical;

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Transforming Healthcare Analytics

intelligence for making better healthcare decisions. Identifying patterns and correlations contained in complex health data, analytics has applications;

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Intelligent Analytics With Advanced Multi-Industry Applications

services, healthcare, the internet of things, the sharing economy, cloud computing, blockchain, and Industry 4.0. This book is ideal for scientists;

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