Iml Medical Assisting PDF Download
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Author: Keir
Publisher:
ISBN: 9781401812539
Category :
Languages : en
Pages : 330
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Book Description
"Essentials of Medical Assisting; Administrative and Clinical Competencies, is a competency-based learning system covering the administrative, clinical, and general areas identified as necessary for entry-level employment by the Medical Assistant Role Delineation study issued by the AAMA. Includes a unit on related therapies presents information on complementary or alternative treatments. Web links provide additional chapter-related information.
Author: Keir
Publisher:
ISBN: 9781401812539
Category :
Languages : en
Pages : 330
Get Book Here
Book Description
"Essentials of Medical Assisting; Administrative and Clinical Competencies, is a competency-based learning system covering the administrative, clinical, and general areas identified as necessary for entry-level employment by the Medical Assistant Role Delineation study issued by the AAMA. Includes a unit on related therapies presents information on complementary or alternative treatments. Web links provide additional chapter-related information.
Author: Pooler
Publisher:
ISBN: 9781401881269
Category : Medical
Languages : en
Pages : 804
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Book Description
Includes Transition Guide from the 2nd edition to the 3rd edition; Answer Key to Text Review Questions and Critical Thinking Questions; Answers to Workbook Exercises, Activities, and Case Study Questions
Author: Atkinson
Publisher:
ISBN: 9780766808553
Category : Medical
Languages : en
Pages : 148
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Book Description
Author: Rowell
Publisher:
ISBN: 9780766832084
Category :
Languages : en
Pages : 372
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Book Description
Author:
Publisher:
ISBN:
Category : Education
Languages : en
Pages : 320
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Book Description
Author: Science Panel on Interactive Communication and Health
Publisher:
ISBN:
Category : Communication in medicine
Languages : en
Pages : 196
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Book Description
Author: Andreas François Vermeulen
Publisher: Apress
ISBN: 1484253167
Category : Computers
Languages : en
Pages : 652
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Book Description
Understand the industrialization of machine learning (ML) and take the first steps toward identifying and generating the transformational disruptors of artificial intelligence (AI). You will learn to apply ML to data lakes in various industries, supplying data professionals with the advanced skills required to handle the future of data engineering and data science. Data lakes currently generated by worldwide industrialized business activities are projected to reach 35 zettabytes (ZB) as the Fourth Industrial Revolution produces an exponential increase of volume, velocity, variety, variability, veracity, visualization, and value. Industrialization of ML evolves from AI and studying pattern recognition against the increasingly unstructured resource stored in data lakes. Industrial Machine Learning supplies advanced, yet practical examples in different industries, including finance, public safety, health care, transportation, manufactory, supply chain, 3D printing, education, research, and data science. The book covers: supervised learning, unsupervised learning, reinforcement learning, evolutionary computing principles, soft robotics disruptors, and hard robotics disruptors. What You Will Learn Generate and identify transformational disruptors of artificial intelligence (AI) Understand the field of machine learning (ML) and apply it to handle big data and process the data lakes in your environment Hone the skills required to handle the future of data engineering and data science Who This Book Is For Intermediate to expert level professionals in the fields of data science, data engineering, machine learning, and data management
Author: Ghonge, Mangesh M.
Publisher: IGI Global
ISBN: 1668463636
Category : Computers
Languages : en
Pages : 523
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Book Description
As smart cities become more prevalent, the need for explainable AI (XAI) applications has become increasingly important. Advances in Explainable AI Applications for Smart Cities is a co-edited book that showcases the latest research and development in XAI for smart city applications. This book covers a wide range of topics, including medical diagnosis, finance and banking, judicial systems, military training, manufacturing industries, autonomous vehicles, insurance claim management, and cybersecurity solutions. Through its diverse case studies and research, this book provides valuable insights into the importance of XAI in smart city applications. This book is an essential resource for undergraduate and postgraduate students, researchers, academicians, industry professionals, and scientists working in research laboratories. It provides a comprehensive overview of XAI concepts, advantages over AI, and its applications in smart city development. By showcasing the impact of XAI on various smart city applications, the book enables readers to understand the importance of XAI in creating more sustainable and efficient smart cities. Additionally, the book addresses the open challenges and research issues related to XAI in modern smart cities, providing a roadmap for future research in this field. Overall, this book is a valuable resource for anyone interested in understanding the importance of XAI in smart city applications.
Author: National Library of Medicine (U.S.)
Publisher:
ISBN:
Category : Medicine
Languages : en
Pages : 990
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Book Description
First multi-year cumulation covers six years: 1965-70.
Author: Andreas Holzinger
Publisher: Springer
ISBN: 3319504789
Category : Computers
Languages : en
Pages : 503
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Book Description
Machine learning (ML) is the fastest growing field in computer science, and Health Informatics (HI) is amongst the greatest application challenges, providing future benefits in improved medical diagnoses, disease analyses, and pharmaceutical development. However, successful ML for HI needs a concerted effort, fostering integrative research between experts ranging from diverse disciplines from data science to visualization. Tackling complex challenges needs both disciplinary excellence and cross-disciplinary networking without any boundaries. Following the HCI-KDD approach, in combining the best of two worlds, it is aimed to support human intelligence with machine intelligence. This state-of-the-art survey is an output of the international HCI-KDD expert network and features 22 carefully selected and peer-reviewed chapters on hot topics in machine learning for health informatics; they discuss open problems and future challenges in order to stimulate further research and international progress in this field.
