The Healthcare Knowledge Management Primer explores and explains the nature of essential KM (knowledge management) principles in healtcare settings in an introductory and easy to understand fashion. Accessibility and usability in this manner will be of use to both students and professionals wishing to learn more about the key aspects of the KM field as it pertains to effecting superior healthcare delivery.
"Sharing knowledge is power." If ever there were a field to which this applies, it is the knowledge management industry. And in today's highly-competitive, fast-paced business world, corporations, businesses and organizations in both the public and private sectors are constantly searching for new cutting-edge methods and techniques for creating, storing, capturing, managing, organizing, distributing, combining, and retrieving knowledge. But the task of accomplishing such functions is not as simple as it sounds. Jay Liebowitz's Building Organizational Intelligence: A Knowledge Management Primer gives executives, managers, systems analysts, and other knowledge-management professionals the competitive edge they need in achieving that task. In a concise and easy-to-read format, the book describes the concepts, techniques, methodologies, and tools associated with those functions, and includes mini-case studies and vignettes of how industry is developing and applying these functions towards building organizational intelligence. What's more, the book is packaged with a limited functionality version of "WisdomBuilder," the first in a family of knowledge-management tools that provide a fully integrated solution to the information management and analysis dilemma. Able to run under Windows 95, 98 and NT, "WisdomBuilder" solves the information overload problem by reducing the time and cost of extracting information and other research knowledge from disorganized repositories of heterogeneous data.
As part of the best-selling Pocket Primer series, this book is designed to introduce the reader to basic deep learning concepts and incorporate that knowledge into Angular 10 applications. It is intended to be a fast-paced introduction to some basic features of deep learning and an overview of several popular deep learning classifiers. The book includes code samples and numerous figures and covers topics such as Angular 10 functionality, basic deep learning concepts, classification algorithms, TensorFlow, and Keras. Companion files with code and color figures are included. FEATURES: Introduces basic deep learning concepts and Angular 10 applications Covers MLPs (MultiLayer Perceptrons) and CNNs (Convolutional Neural Networks), RNNs (Recurrent Neural Networks), LSTMs (Long Short-Term Memory), GRUs (Gated Recurrent Units), autoencoders, and GANs (Generative Adversarial Networks) Introduces TensorFlow 2 and Keras Includes companion files with source code and 4-color figures. The companion files are also available online by emailing the publisher with proof of purchase at [email protected].
Epistemic Principles: A Primer of the Theory of Knowledge presents a compact account of the basic principles of the theory of knowledge. In doing this, Nicholas Rescher aims to fill the current gap in contemporary philosophical theory of knowledge with a comprehensive analysis of epistemological fundamentals. The book is not a mere inventory of such rules and principles, but rather interweaves them into a continuous exposition of basic issues. Written at a user-friendly and accessible level, Epistemic Principles is an essential addition for both advanced undergraduate and graduate courses in epistemology.
As part of the best-selling Pocket Primer series, this book is designed to introduce the reader to basic machine learning concepts and incorporate that knowledge into Angular applications. The book is intended to be a fast-paced introduction to some basic features of machine learning and an overview of several popular machine learning classifiers. It includes code samples and numerous figures and covers topics such as Angular functionality, basic machine learning concepts, classification algorithms, TensorFlow and Keras. The files with code and color figures are on the companion disc with the book or available from the publisher. Features: Introduces the basic machine learning concepts and Angular applications Includes source code and full color figures
Provides in-depth coverage of basic and advanced topics in data mining and knowledge discovery Presents the most popular data mining algorithms in an easy to follow format Includes instructional tutorials on applying the various data mining algorithms Provides several interesting datasets ready to be mined Offers in-depth coverage of RapidMiner Studio and Weka’s Explorer interface Teaches the reader (student,) hands-on, about data mining using RapidMiner Studio and Weka Gives instructors a wealth of helpful resources, including all RapidMiner processes used for the tutorials and for solving the end of chapter exercises. Instructors will be able to get off the starting block with minimal effort Extra resources include screenshot sequences for all RapidMiner and Weka tutorials and demonstrations, available for students and instructors alike The latest version of all freely available materials can also be downloaded at: http://krypton.mnsu.edu/~sa7379bt/
This unique text is a practical guide to managing and developing Healthcare Knowledge Management (KM) that is underpinned by theory and research. It provides readers with an understanding of approaches to the critical nature and use of knowledge by investigating healthcare-based KM systems. Designed to demystify the KM process and demonstrate its applicability, this text offers contemporary and clinically-relevant lessons for future organizational implementations.
Preparing students to become informed, critical consumers of research, this accessible text builds essential skills for understanding research reports, evaluating the implications for evidence-based practice, and communicating findings to different audiences. It demystifies qualitative, quantitative, and mixed methods designs and provides step-by-step procedures for judging the strengths and limitations of any study. Excerpts from real research reports are used as opportunities to develop methodological knowledge and practice analytic skills. Based on sound pedagogic principles, the text is structured for diverse learning styles: visual learners (concept maps, icons), active learners (building-block exercises and templates for writing), and story learners (examples, reading guides, and reflections). Pedagogical Features *Rubrics, checklists of steps to take, and reading guides that walk students through analyzing different types of research articles. *Journal abstracts with questions that home in on key aspects of a study. *Exemplars of each type of study, with descriptions of methodological and design choices. *End-of-chapter skills-building exercises that lead up to writing a research review essay. *Chapter appendices featuring sample responses to the exercises.
A new edition of the widely used guide to the key ideas, languages, and technologies of the Semantic Web The development of the Semantic Web, with machine-readable content, has the potential to revolutionize the World Wide Web and its uses. A Semantic Web Primer provides an introduction and guide to this continuously evolving field, describing its key ideas, languages, and technologies. Suitable for use as a textbook or for independent study by professionals, it concentrates on undergraduate-level fundamental concepts and techniques that will enable readers to proceed with building applications on their own and includes exercises, project descriptions, and annotated references to relevant online materials. The third edition of this widely used text has been thoroughly updated, with significant new material that reflects a rapidly developing field. Treatment of the different languages (OWL2, rules) expands the coverage of RDF and OWL, defining the data model independently of XML and including coverage of N3/Turtle and RDFa. A chapter is devoted to OWL2, the new W3C standard. This edition also features additional coverage of the query language SPARQL, the rule language RIF and the possibility of interaction between rules and ontology languages and applications. The chapter on Semantic Web applications reflects the rapid developments of the past few years. A new chapter offers ideas for term projects. Additional material, including updates on the technological trends and research directions, can be found at http://www.semanticwebprimer.org.
