The beginning of the age of artificial intelligence and machine learning has created new challenges and opportunities for data analysts, statisticians, mathematicians, econometricians, computer scientists and many others. At the root of these techniques are algorithms and methods for clustering and classifying different types of large datasets, including time series data. Time Series Clustering and Classification includes relevant developments on observation-based, feature-based and model-based traditional and fuzzy clustering methods, feature-based and model-based classification methods, and machine learning methods. It presents a broad and self-contained overview of techniques for both researchers and students. Features Provides an overview of the methods and applications of pattern recognition of time series Covers a wide range of techniques, including unsupervised and supervised approaches Includes a range of real examples from medicine, finance, environmental science, and more R and MATLAB code, and relevant data sets are available on a supplementary website
Appropriate for first-year courses in community colleges, university colleges, and universities, as well as courses dealing specifically with cross-cultural literature. With the growing diversity of the student population has come increasing interest in cross-cultural and multicultural studies, including the publication of readers for English composition and literature classes dealing with issues of race, ethnicity, and culture. Fields of Vision is a multicultural anthology of essays, stories, and poems. Approximately half of the pieces are written by Canadian authors; the remaining pieces are from U.S. and other international sources. Many of the diverse perspectives on offer in this anthology have only recently begun to be attended to by a world audience. More than anything else, the selections contained in Fields of Vision are intended to open the universe a little more.
The first complete guide to the rapidly expanding field of telehealth From email to videoconferencing, telehealth puts real-time healthcare solutions at patients’ and clinicians’ fingertips. Every year, the field continues to evolve, enhancing access to healthcare, supporting clinicians, and improving the patient experience. However, since telehealth is in its infancy, no text has offered a comprehensive, definitive survey of this up-and-coming field—until now. Written by past presidents of the American Telemedicine Association, Understanding Telehealth explains how clinical applications leveraging telehealth technology are optimizing healthcare delivery. In addition, this timely resource examines the bedrock principles of telehealth and highlights the safety standards involved in the diagnosis and treatment of patients through digital communications. Logically organized and supported by high-yield clinical vignettes, the book begins with essential background information, including a look at telehealth history, definitions and roles, and rural health. It then provides an overview of clinical services for adults, from telestroke to telepsychiatry. The third section addresses pediatric clinical services, encompassing pediatric emergency and critical care, telecardiology, and more. A groundbreaking resource: •Chapters cover a broad spectrum of technologies, evidence-based guidelines, and application of telehealth across the healthcare continuum •Ideal for medical staff, public healthcare executives, hospitals, clinics, payors, healthcare advocates, and researchers alike •Incisive coverage of the legal and regulatory environment underpinning telehealth practice
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