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This book trains the next generation of scientists representing different disciplines to leverage the data generated during routine patient care. It formulates a more complete lexicon of evidence-based recommendations and support shared, ethical decision making by doctors with their patients. Diagnostic and therapeutic technologies continue to evolve rapidly, and both individual practitioners and clinical teams face increasingly complex ethical decisions. Unfortunately, the current state of medical knowledge does not provide the guidance to make the majority of clinical decisions on the basis of evidence. The present research infrastructure is inefficient and frequently produces unreliable results that cannot be replicated. Even randomized controlled trials (RCTs), the traditional gold standards of the research reliability hierarchy, are not without limitations. They can be costly, labor intensive, and slow, and can return results that are seldom generalizable to every patient population. Furthermore, many pertinent but unresolved clinical and medical systems issues do not seem to have attracted the interest of the research enterprise, which has come to focus instead on cellular and molecular investigations and single-agent (e.g., a drug or device) effects. For clinicians, the end result is a bit of a “data desert” when it comes to making decisions. The new research infrastructure proposed in this book will help the medical profession to make ethically sound and well informed decisions for their patients.
Praise for the Second Edition: "The authors present an intuitive and easy-to-read book. ... accompanied by many examples, proposed exercises, good references, and comprehensive appendices that initiate the reader unfamiliar with MATLAB." —Adolfo Alvarez Pinto, International Statistical Review "Practitioners of EDA who use MATLAB will want a copy of this book. ... The authors have done a great service by bringing together so many EDA routines, but their main accomplishment in this dynamic text is providing the understanding and tools to do EDA. —David A Huckaby, MAA Reviews Exploratory Data Analysis (EDA) is an important part of the data analysis process. The methods presented in this text are ones that should be in the toolkit of every data scientist. As computational sophistication has increased and data sets have grown in size and complexity, EDA has become an even more important process for visualizing and summarizing data before making assumptions to generate hypotheses and models. Exploratory Data Analysis with MATLAB, Third Edition presents EDA methods from a computational perspective and uses numerous examples and applications to show how the methods are used in practice. The authors use MATLAB code, pseudo-code, and algorithm descriptions to illustrate the concepts. The MATLAB code for examples, data sets, and the EDA Toolbox are available for download on the book’s website. New to the Third Edition Random projections and estimating local intrinsic dimensionality Deep learning autoencoders and stochastic neighbor embedding Minimum spanning tree and additional cluster validity indices Kernel density estimation Plots for visualizing data distributions, such as beanplots and violin plots A chapter on visualizing categorical data
& Describes the engineering needs addressed by the individual EDA tools and covers EDA from both the provider and user viewpoints. & & Learn the importance of marketing and business trends in the EDA industry. & & The EDA consortium is made up of major corporations including SUN, HP, and Intel.
Electrodermal activity is one of the most frequently used psychophysiological evaluations in psychology research. Based on the 1992 edition of this work Electrodermal Activity covers advances in the field since the first publication in 1992. The current volume includes updated information on brain imaging techniques such as PET and fMRI, which provide further insight into the brain mechanisms underlying EDA. In addition, this volume is able to describe more reliably hypotheses that have been successfully tested since the first publication.
Exploratory data analysis (EDA) is about detecting and describing patterns, trends, and relations in data, motivated by certain purposes of investigation. As something relevant is detected in data, new questions arise, causing specific parts to be viewed in more detail. So EDA has a significant appeal: it involves hypothesis generation rather than mere hypothesis testing. The authors describe in detail and systemize approaches, techniques, and methods for exploring spatial and temporal data in particular. They start by developing a general view of data structures and characteristics and then build on top of this a general task typology, distinguishing between elementary and synoptic tasks. This typology is then applied to the description of existing approaches and technologies, resulting not just in recommendations for choosing methods but in a set of generic procedures for data exploration. Professionals practicing analysis will profit from tested solutions – illustrated in many examples – for reuse in the catalogue of techniques presented. Students and researchers will appreciate the detailed description and classification of exploration techniques, which are not limited to spatial data only. In addition, the general principles and approaches described will be useful for designers of new methods for EDA.
Eating Disorders Anonymous: The Story of How We Recovered from Our Eating Disorders presents the accumulated experience, strength, and hope of many who have followed a Twelve-Step approach to recover from their eating disorders. Eating Disorders Anonymous (EDA), founded by sober members of Alcoholics Anonymous (AA), have produced a work that emulates the “Big Book” in style and substance. EDA respects the pioneering work of AA while expanding its Twelve-Step message of hope to include those who are religious or seek a spiritual solution, and for those who are not and may be more comfortable substituting “higher purpose” for the traditional “Higher Power.” Further, the EDA approach embraces the development and maintenance of balance and perspective, rather than abstinence, as the goal of recovery. Initial chapters provide clear directions on how to establish a foothold in recovery by offering one of the founder’s story of hope, and collective voices tell why EDA is suitable for readers with any type of problem eating, including: anorexia nervosa, bulimia, binge eating, emotional eating, and orthorexia. The text then explains how to use the Twelve Steps to develop a durable and resilient way of thinking and acting that is free of eating disordered thoughts and behaviors, including how to pay it forward so that others might have hope of recovery. In the second half of the text, individual contributors share their experiences, describing what it was like to have an eating disorder, what happened that enabled them to make a start in recovery, and what it is like to be in recovery. Like the “Big Book,” these stories are in three sections: Pioneers of EDA, They Stopped in Time, and They Lost Nearly All. Readers using the Twelve Steps to recover from other issues will find the process consistent and reinforcing of their experiences, yet the EDA approach offers novel ideas and specific guidance for those struggling with food, weight and body image issues. Letters of support from three, highly-regarded medical professionals and two, well-known recovery advocates offer reassurance that EDA’s approach is consistent with that supported by medical research and standards in the field of eating disorders treatment. Intended as standard reading for members who participate in EDA groups throughout the world, this book is accessible and appropriate for anyone who wants to recover from an eating disorder or from issues related to food, weight, and body image.