This open access book describes the results of natural language processing and machine learning methods applied to clinical text from electronic patient records. It is divided into twelve chapters. Chapters 1-4 discuss the history and background of the original paper-based patient records, their purpose, and how they are written and structured. These initial chapters do not require any technical or medical background knowledge. The remaining eight chapters are more technical in nature and describe various medical classifications and terminologies such as ICD diagnosis codes, SNOMED CT, MeSH, UMLS, and ATC. Chapters 5-10 cover basic tools for natural language processing and information retrieval, and how to apply them to clinical text. The difference between rule-based and machine learning-based methods, as well as between supervised and unsupervised machine learning methods, are also explained. Next, ethical concerns regarding the use of sensitive patient records for research purposes are discussed, including methods for de-identifying electronic patient records and safely storing patient records. The book's closing chapters present a number of applications in clinical text mining and summarise the lessons learned from the previous chapters. The book provides a comprehensive overview of technical issues arising in clinical text mining, and offers a valuable guide for advanced students in health informatics, computational linguistics, and information retrieval, and for researchers entering these fields.

Get hints, useful tricks, and solutions to those annoying problems that plague users of Microsoft's ever-popular word processing software. This book goes beyond a how-to guide. You will understand where some of Word's odd behavior comes from, how underlying inheritance rules can affect your formatting, and how to understand and make use of the many hidden characters that Word uses to control the text. By the end of the book, you'll be able to fly through your Word processing without the usual headaches. What You'll Learn Understand why you should care about hidden characters, and how they can save you time and headaches Use templates effectively, and produce your own templates Employ fast desktop publishing techniques to produce a polished final document Generate a table of contents and index Fix those pesky tables forever! Who This Book Is For Everyone who uses Microsoft Word and has encountered difficulties and felt frustrated and slowed down

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With Paradigm's Benchmark Series: Microsoft Word 2016 Levels 1 and 2, students build mastery skill level in Word 2016. They receive step-by-step instructions in creating letters, reports, research papers, brochures, newsletters, and other documents. Key Features A graduated, three-level approach to mastering Microsoft Office 2016 applications. Mentoring instructional style guides students step-by-step in creating letters, reports, research papers, brochures, newsletters, and other documents. Case study assessments at chapter and unit levels test students' abilities to solve problems independently.