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Using Predictive Analytics to Improve Healthcare Outcomes Winner of the American Journal of Nursing (AJN) Informatics Book of the Year;
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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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information. Through the use of predictive analytic models and applications, this book is an invaluable resource to predict more accurate outcomes to;
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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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on using analytics to solve business problems and compares several different modeling techniques, all explained from examples using the SAS;
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Improve patient outcomes, lower costs, reduce fraud all with healthcare analytics Healthcare Analytics for Quality and Performance;
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analytics. By the end of this book, you will be well-versed in using deep neural networks to solve common problems in big data analysis. What you;
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relationship to future outcomes, and improve managerial decision-making * Looks at how to develop new insights and understand business performance;
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of the predictive analytics cycle to create a playbook for future projects. Predictive business analytics involves a wide variety of inputs that;
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a variety of quantitative methods using data to make predictions. It involves much more than just throwing data onto a computer to build a;
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This business analytics (BA) text discusses the models based on fact-based data to measure past business performance to guide an;
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skills needed to develop and implement predictive analytics * Apply the principles and techniques of predictive analytics to effectively;
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book focuses on action, helping you understand and actually begin using this revolutionary approach to the customer experience. Predictive;
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This text highlights the difference between analytics and data science, using predictive analytic techniques to analyze different;
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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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Green Computing and Predictive Analytics for Healthcare aims to promote and facilitate the exchange of research knowledge and findings across;
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predictive insights on patients to healthcare providers so they can achieve positive outcomes. It can assist those performing clinical research where;
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This book describes methods to improve software performance and safety using advanced mathematical and computational analytics. The main;
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Predictive analytics, data mining and big data are key topics for organizations who want to leverage the ever increasing amounts;
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of its kind text, Population Health Analytics, will prepare students to improve health outcomes, understand patterns of health behavior and;
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A practical, introductory guide to the best use of Patient Reported Outcomes (PROs) to improve the quality of health care and patient;
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Regression, and Clustering Who This Book Is For If you wish to learn how to implement Predictive Analytics algorithms using Python libraries;
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Predictive analytics has revolutionized marketing practice. It involves using many techniques from data mining, statistics, modelling;
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for predictive modeling and a suite of IDEs to choose from. Using the Python programming language, analysts can use these sophisticated;
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Curious about how to leverage SAP Predictive Analytics (SAP PA) to effectively mine data and unearth trends, patterns, and relationships;
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Learn how to solve real life problems using different methods like logic regression, random forests and SVM's with TensorFlow. Key Features;
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