Visualizing Health Care Statistics: A Data-Mining Approach


Book Description

Visualizing Health Care Statistics: A Data-Mining Approach is an introductory statistics text that demonstrates how to visualize health care statistics using Microsoft Excel and R-Project (open source statistical software) and hands-on examples using real-world data. In each chapter, students are encouraged to apply statistical knowledge to real-world health care situations. Through this approach, students develop data gathering and analysis skills all while preparing for the national Registered Health Information Technician (RHIT) exam.







Healthcare Data Analytics


Book Description

At the intersection of computer science and healthcare, data analytics has emerged as a promising tool for solving problems across many healthcare-related disciplines. Supplying a comprehensive overview of recent healthcare analytics research, Healthcare Data Analytics provides a clear understanding of the analytical techniques currently available




Visualizing Data


Book Description




The Handbook of Applied Communication Research


Book Description

An authoritative survey of different contexts, methodologies, and theories of applied communication The field of Applied Communication Research (ACR) has made substantial progress over the past five decades in studying communication problems, and in making contributions to help solve them. Changes in society, human relationships, climate and the environment, and digital media have presented myriad contexts in which to apply communication theory. The Handbook of Applied Communication Research addresses a wide array of contemporary communication issues, their research implications in various contexts, and the challenges and opportunities for using communication to manage problems. This innovative work brings together the diverse perspectives of a team of notable international scholars from across disciplines. The Handbook of Applied Communication Research includes discussion and analysis spread across two comprehensive volumes. Volume one introduces ACR, explores what is possible in the field, and examines theoretical perspectives, organizational communication, risk and crisis communication, and media, data, design, and technology. The second volume focuses on real-world communication topics such as health and education communication, legal, ethical, and policy issues, and volunteerism, social justice, and communication activism. Each chapter addresses a specific issue or concern, and discusses the choices faced by participants in the communication process. This important contribution to communication research: Explores how various communication contexts are best approached Addresses balancing scientific findings with social and cultural issues Discusses how and to what extent media can mitigate the effects of adverse events Features original findings from ongoing research programs and original communication models and frameworks Presents the best available research and insights on where current research and best practices should move in the future A major addition to the body of knowledge in the field, The Handbook of Applied Communication Research is an invaluable work for advanced undergraduate students, graduate students, and scholars.




Discrete Data Analysis with R


Book Description

An Applied Treatment of Modern Graphical Methods for Analyzing Categorical DataDiscrete Data Analysis with R: Visualization and Modeling Techniques for Categorical and Count Data presents an applied treatment of modern methods for the analysis of categorical data, both discrete response data and frequency data. It explains how to use graphical meth




Data Sketches


Book Description

In Data Sketches, Nadieh Bremer and Shirley Wu document the deeply creative process behind 24 unique data visualization projects, and they combine this with powerful technical insights which reveal the mindset behind coding creatively. Exploring 12 different themes – from the Olympics to Presidents & Royals and from Movies to Myths & Legends – each pair of visualizations explores different technologies and forms, blurring the boundary between visualization as an exploratory tool and an artform in its own right. This beautiful book provides an intimate, behind-the-scenes account of all 24 projects and shares the authors’ personal notes and drafts every step of the way. The book features: Detailed information on data gathering, sketching, and coding data visualizations for the web, with screenshots of works-in-progress and reproductions from the authors’ notebooks Never-before-published technical write-ups, with beginner-friendly explanations of core data visualization concepts Practical lessons based on the data and design challenges overcome during each project Full-color pages, showcasing all 24 final data visualizations This book is perfect for anyone interested or working in data visualization and information design, and especially those who want to take their work to the next level and are inspired by unique and compelling data-driven storytelling.




MEDINFO 2019: Health and Wellbeing e-Networks for All


Book Description

Combining and integrating cross-institutional data remains a challenge for both researchers and those involved in patient care. Patient-generated data can contribute precious information to healthcare professionals by enabling monitoring under normal life conditions and also helping patients play a more active role in their own care. This book presents the proceedings of MEDINFO 2019, the 17th World Congress on Medical and Health Informatics, held in Lyon, France, from 25 to 30 August 2019. The theme of this year’s conference was ‘Health and Wellbeing: E-Networks for All’, stressing the increasing importance of networks in healthcare on the one hand, and the patient-centered perspective on the other. Over 1100 manuscripts were submitted to the conference and, after a thorough review process by at least three reviewers and assessment by a scientific program committee member, 285 papers and 296 posters were accepted, together with 47 podium abstracts, 7 demonstrations, 45 panels, 21 workshops and 9 tutorials. All accepted paper and poster contributions are included in these proceedings. The papers are grouped under four thematic tracks: interpreting health and biomedical data, supporting care delivery, enabling precision medicine and public health, and the human element in medical informatics. The posters are divided into the same four groups. The book presents an overview of state-of-the-art informatics projects from multiple regions of the world; it will be of interest to anyone working in the field of medical informatics.




Visual Data Mining


Book Description

Visual Data Mining—Opening the Black Box Knowledge discovery holds the promise of insight into large, otherwise opaque datasets. Thenatureofwhatmakesaruleinterestingtoauserhasbeendiscussed 1 widely but most agree that it is a subjective quality based on the practical u- fulness of the information. Being subjective, the user needs to provide feedback to the system and, as is the case for all systems, the sooner the feedback is given the quicker it can in?uence the behavior of the system. There have been some impressive research activities over the past few years but the question to be asked is why is visual data mining only now being - vestigated commercially? Certainly, there have been arguments for visual data 2 mining for a number of years – Ankerst and others argued in 2002 that current (autonomous and opaque) analysis techniques are ine?cient, as they fail to - rectly embed the user in dataset exploration and that a better solution involves the user and algorithm being more tightly coupled. Grinstein stated that the “current state of the art data mining tools are automated, but the perfect data mining tool is interactive and highly participatory,” while Han has suggested that the “data selection and viewing of mining results should be fully inter- tive, the mining process should be more interactive than the current state of the 2 art and embedded applications should be fairly automated . ” A good survey on 3 techniques until 2003 was published by de Oliveira and Levkowitz .




Data Preparation for Data Mining


Book Description

This book focuses on the importance of clean, well-structured data as the first step to successful data mining. It shows how data should be prepared prior to mining in order to maximize mining performance.




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