Interactive Process Mining in Healthcare, Carlos Fernandez-Llatas
Автор: Morris Название: Economic Analysis in Healthcare, 2nd Edition ISBN: 1119951496 ISBN-13(EAN): 9781119951490 Издательство: Wiley Рейтинг: Цена: 8077.00 р. Наличие на складе: Поставка под заказ.
Описание: Economic Analysis in Health Care, Second Edition is intended as a core textbook for advanced undergraduate and postgraduate students of health economics. The authors provide comprehensive coverage of the field of economics in health care and the evaluati
Описание: Quality Assurance in Healthcare Service Delivery, Nursing and Personalized Medicine: Technologies and Processes offers a framework for measuring quality of service in the healthcare industry as it pertains to nursing, with insight into how new technologies and the design of personalized medicine have improved quality of care and quality of life. Assessment and feedback are a vital part of developing and designing personalized medicine, and this book details case studies and the latest research in the field of healthcare service delivery assessment. In addition to describing assessment methodology, the book is also a compendium of the latest research into new medical technologies.
Описание: Predictive Medicine makes artificial intelligence more accessible for healthcare practitioners without shying away from complex topics and controversial subject matter.
Artificial intelligence, machine learning, natural language processing, robotics, big data and other new technologies are ready to revolutionize the way we look at healthcare. But if we want them to achieve their full potential, we'll need leaders who understand these new tools and who have long-term strategies in place to take advantage of them.
This book will help you to become one of those leaders. Predictive Medicine makes artificial intelligence more accessible for healthcare practitioners without shying away from complex topics and controversial subject matter. It's a call-to-action for a new generation of health leaders and a roadmap to help them usher in a brighter future.
Автор: Dilip Singh Sisodia, Ram Bilas Pachori, Lalit Garg Название: Advancement of Artificial Intelligence in Healthcare Engineering ISBN: 179982120X ISBN-13(EAN): 9781799821205 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 39640.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Provides comprehensive research on the possible applications of machine learning, deep learning, soft computing, and evolutionary computing techniques in the design, implementation, and optimization of healthcare engineering solutions. The book features a range of topics such as genetic algorithms, mobile robotics, and neuroinformatics.
Автор: Reddy Chandan K. Название: Healthcare Data Analytics ISBN: 1482232111 ISBN-13(EAN): 9781482232110 Издательство: Taylor&Francis Рейтинг: Цена: 19140.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
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 to solve healthcare problems.
The book details novel techniques for acquiring, handling, retrieving, and making best use of healthcare data. It analyzes recent developments in healthcare computing and discusses emerging technologies that can help improve the health and well-being of patients. Written by prominent researchers and experts working in the healthcare domain, the book sheds light on many of the computational challenges in the field of medical informatics. Each chapter in the book is structured as a "survey-style" article discussing the prominent research issues and the advances made on that research topic. The book is divided into three major categories:
Healthcare Data Sources and Basic Analytics - details the various healthcare data sources and analytical techniques used in the processing and analysis of such data
Advanced Data Analytics for Healthcare - covers advanced analytical methods, including clinical prediction models, temporal pattern mining methods, and visual analytics
Applications and Practical Systems for Healthcare - covers the applications of data analytics to pervasive healthcare, fraud detection, and drug discovery along with systems for medical imaging and decision support
Computer scientists are usually not trained in domain-specific medical concepts, whereas medical practitioners and researchers have limited exposure to the data analytics area. The contents of this book will help to bring together these diverse communities by carefully and comprehensively discussing the most relevant contributions from each domain.
Описание: Big Data in medical science – what exactly is that? What are the potentials for healthcare management? Where is Big Data at the moment? Which risk factors need to be kept in mind? What is hype and what is real potential? This book provides an impression of the new possibilities of networked data analysis and "Big Data" – for and within medical science and healthcare management.Big Data is about the collection, storage, search, distribution, statistical analysis and visualization of large amounts of data. This is especially relevant in healthcare management, as the amount of digital information is growing exponentially. An amount of data corresponding to 12 million novels emerges during the time of a single hospital stay. These are dimensions that cannot be dealt with without IT technologies. What can we do with the data that are available today? What will be possible in the next few years? Do we want everything that is possible? Who protects the data from wrong usage? More importantly, who protects the data from NOT being used?Big Data is the "resource of the 21st century" and might change the world of medical science more than we understand, realize and want at the moment. The core competence of Big Data will be the complete and correct collection, evaluation and interpretation of data. This also makes it possible to estimate the frame conditions and possibilities of the automation of daily (medical) routine. Can Big Data in medical science help to better understand fundamental problems of health and illness, and draw consequences accordingly?Big Data also means the overcoming of sector borders in healthcare management. The specialty of Big Data analysis will be the new quality of the outcomes of the combination of data that were not related before. That is why the editor of the book gives a voice to 30 experts, working in a variety of fields, such as in hospitals, in health insurance or as medical practitioners. The authors show potentials, risks, concrete practical examples, future scenarios, and come up with possible answers for the field of information technology and data privacy.
Автор: Fernandez-Llatas Carlos Название: Interactive Process Mining in Healthcare ISBN: 3030539954 ISBN-13(EAN): 9783030539955 Издательство: Springer Рейтинг: Цена: 8384.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Introduction.- Toward an integration of Data Science and Medical Domain.- To an interactive machine learning approach.- Process Mining for Healthcare.- Part II Interactive Process Mining.- Interactive process Mining paradigm.- Interactive Process Mining in Practice: Interactive Key Process Indicators.- Part III Interactive Process Mining in Action.- Data Quality in Process Mining, Legal Issues and Open Data Integration.- Real Success Cases.- New Challenges.
Описание: It has been almost 20 years since the Institute of Medicine released the seminal report titled, Crossing the Quality Chasm. In it, the IoM identified six domains of care quality (safe, timely, effective, efficient, equitable, and patient-centric) and noted a huge gap between the current state and the desired state.
Автор: Ronny S. Mans; Wil M. P. van der Aalst; Rob J. B. Название: Process Mining in Healthcare ISBN: 3319160702 ISBN-13(EAN): 9783319160702 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: 1 Introduction.- 2 Healthcare Processes.- 3 Process Mining.- 4 Healthcare Reference Model.- 5 Applications of Process Mining.- 6 Data Quality Issues.- 7 Epilogue.
Автор: Alex Lui, Anna Farzinder, Mingboo Gong Название: Transforming Healthcare with Big Data and AI ISBN: 1641138971 ISBN-13(EAN): 9781641138970 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 7069.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Healthcare and technology are at a convergence point where significant changes are poised to take place. The vast and complex requirements of medical record keeping, coupled with stringent patient privacy laws, create an incredibly unwieldy maze of health data needs. While the past decade has seen giant leaps in AI, machine learning, wearable technologies, and data mining capacities that have enabled quantities of data to be accumulated, processed, and shared around the globe. Transforming Healthcare with Big Data and AI examines the crossroads of these two fields and looks to the future of leveraging advanced technologies and developing data ecosystems to the healthcare field.
This book is the product of the Transforming Healthcare with Data conference, held at the University of Southern California. Many speakers and digital healthcare industry leaders contributed multidisciplinary expertise to chapters in this work. Authors’ backgrounds range from data scientists, healthcare experts, university professors, and digital healthcare entrepreneurs. If you have an understanding of data technologies and are interested in the future of Big Data and A.I. in healthcare, this book will provide a wealth of insights into the new landscape of healthcare.
Описание: Lean Thinking for Emerging Healthcare Leaders: How to Develop Yourself and Implement Process Improvements aims to solve the issues in modern day healthcare by handing over the reins of the improvement process to healthcare professionals. Putting those who are doing the work and are closest to the actual situation in the lead. The purpose of this book is to help you understand how to develop yourself and your leadership in such a way that will best benefit your team and your patients. This includes change management practices that will help to build commitment with your team members, colleagues, management, patients, and other stakeholders. This book educates you, as a leading medical professional, in the principles and values of Lean leadership and management. It will teach you how to improve healthcare from the inside, making it safer, better, faster, more accessible, and more affordable. With this book we want to inspire, motivate, and stimulate you to lead continuous improvement—while being respectful to people—on your way to ideal care for every patient. The primary target audience for the book are medical professionals who have (recently) acquired leadership, management, or business responsibilities. The book will also be of high value to those who obtained temporary leadership positions, like project leaders, problem solvers, change managers, and innovators. Because most of the teachings in the book are meta skills and ways of thinking, the book is easily relatable and transferable to other disciplines and even sectors.
Автор: Lawry, Tom Название: Artificial intelligence in healthcare ISBN: 0367333716 ISBN-13(EAN): 9780367333713 Издательство: Taylor&Francis Рейтинг: Цена: 6123.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Written for clinical and business leaders in health, this book defines Artificial Intelligence and its role in driving digital transformation to improve clinical, operational and financial outcomes of provider, payer and public health organizations worldwide.
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