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Analysis of patient data can be a complicated and challenging process, especially when the data involve many subjects and many variables. A patient registry is a database that organizes collecting the important set of data on a list of identifiable individuals for a specific disease. This type of data usually has tons of data and hundreds of different variables. Thus, the approach to conducting research by using a patient registry database will be more complicated than the other types of dataset. Since the handling of patient registry data is a challenging task, the authors have come out with this e-book/book to become a guideline for the statisticians, medical officers and scientists for them to refer as a handbook whenever they need to use patient registry data for their research.
As the use of analytics becomes increasingly important in today's business landscape, The Marketing Analytics Practitioner's Guide (MAPG) provides a thorough understanding of marketing management concepts and their practical applications, making it a valuable resource for professionals and students alike.The four-volume compendium of MAPG provides an in-depth look at marketing management concepts and their practical applications, equipping readers with the knowledge and skills needed to effectively inform daily marketing decisions and strategy development and implementation. It seamlessly blends the art and science of marketing, reflecting the discipline's evolution in the era of data analyt...
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This book addresses the impact of intermarriage between Chinese immigrants and the natives, specifically the intermingling of blood and the offspring from such unions, and the influence they wielded on the society and environment they chose to live in. It also covers how some rose to high positions and their contributions to their societies, and how some openly declared their pride in their ancestry, while others have forgotten their heritage and have dissociated themselves.
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This book constitutes the refereed conference proceedings of the 11th International Conference on Multi-disciplinary Trends in Artificial Intelligence, MIWAI 2017, held in Gadong, Brunei, in November 2017. The 40 revised full papers presented were carefully reviewed and selected from 82 submissions. They are organized in the following topical sections: knowledge representation and reasoning; data mining and machine learning; deep learning and its applications; document analysis; intelligent information systems; swarm intelligence.