Applied Machine Learning and Multi-Criteria Decision-Making in Healthcare

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Release : 2021-11-18
Genre : Computers
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Book Rating : 72X/5 ( reviews)

Applied Machine Learning and Multi-Criteria Decision-Making in Healthcare - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Applied Machine Learning and Multi-Criteria Decision-Making in Healthcare write by Ilker Ozsahin. This book was released on 2021-11-18. Applied Machine Learning and Multi-Criteria Decision-Making in Healthcare available in PDF, EPUB and Kindle. This book provides an ideal foundation for readers to understand the application of artificial intelligence (AI) and machine learning (ML) techniques to expert systems in the healthcare sector. It starts with an introduction to the topic and presents chapters which progressively explain decision-making theory that helps solve problems which have multiple criteria that can affect the outcome of a decision. Key aspects of the subject such as machine learning in healthcare, prediction techniques, mathematical models and classification of healthcare problems are included along with chapters which delve in to advanced topics on data science (deep-learning, artificial neural networks, etc.) and practical examples (influenza epidemiology and retinoblastoma treatment analysis). Key Features: - Introduces readers to the basics of AI and ML in expert systems for healthcare - Focuses on a problem solving approach to the topic - Provides information on relevant decision-making theory and data science used in the healthcare industry - Includes practical applications of AI and ML for advanced readers - Includes bibliographic references for further reading The reference is an accessible source of knowledge on multi-criteria decision-support systems in healthcare for medical consultants, healthcare policy makers, researchers in the field of medical biotechnology, oncology and pharmaceutical research and development.

An integrated decision analytic framework of machine learning with multi-criteria decision making for patient prioritization in elective surgeries

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Release : 2022
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Book Rating : /5 ( reviews)

An integrated decision analytic framework of machine learning with multi-criteria decision making for patient prioritization in elective surgeries - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook An integrated decision analytic framework of machine learning with multi-criteria decision making for patient prioritization in elective surgeries write by Nima Jamshidi Shahvar. This book was released on 2022. An integrated decision analytic framework of machine learning with multi-criteria decision making for patient prioritization in elective surgeries available in PDF, EPUB and Kindle. Résumé en anglais

Smart Healthcare System Design

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Release : 2021-06-29
Genre : Computers
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Book Rating : 685/5 ( reviews)

Smart Healthcare System Design - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Smart Healthcare System Design write by S. K. Hafizul Islam. This book was released on 2021-06-29. Smart Healthcare System Design available in PDF, EPUB and Kindle. SMART HEALTHCARE SYSTEM DESIGN This book deeply discusses the major challenges and issues for security and privacy aspects of smart health-care systems. The Internet-of-Things (IoT) has emerged as a powerful and promising technology, and though it has significant technological, social, and economic impacts, it also poses new security and privacy challenges. Compared with the traditional internet, the IoT has various embedded devices, mobile devices, a server, and the cloud, with different capabilities to support multiple services. The pervasiveness of these devices represents a huge attack surface and, since the IoT connects cyberspace to physical space, known as a cyber-physical system, IoT attacks not only have an impact on information systems, but also affect physical infrastructure, the environment, and even human security. The purpose of this book is to help achieve a better integration between the work of researchers and practitioners in a single medium for capturing state-of-the-art IoT solutions in healthcare applications, and to address how to improve the proficiency of wireless sensor networks (WSNs) in healthcare. It explores possible automated solutions in everyday life, including the structures of healthcare systems built to handle large amounts of data, thereby improving clinical decisions. The 14 separate chapters address various aspects of the IoT system, such as design challenges, theory, various protocols, implementation issues, as well as several case studies. Smart Healthcare System Design covers the introduction, development, and applications of smart healthcare models that represent the current state-of-the-art of various domains. The primary focus is on theory, algorithms, and their implementation targeted at real-world problems. It will deal with different applications to give the practitioner a flavor of how IoT architectures are designed and introduced into various situations. Audience: Researchers and industry engineers in information technology, artificial intelligence, cyber security, as well as designers of healthcare systems, will find this book very valuable.

AI-Enabled Multiple-Criteria Decision-Making Approaches for Healthcare Management

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Release : 2022-06-30
Genre : Computers
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Book Rating : 070/5 ( reviews)

AI-Enabled Multiple-Criteria Decision-Making Approaches for Healthcare Management - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook AI-Enabled Multiple-Criteria Decision-Making Approaches for Healthcare Management write by Kautish, Sandeep. This book was released on 2022-06-30. AI-Enabled Multiple-Criteria Decision-Making Approaches for Healthcare Management available in PDF, EPUB and Kindle. Multiple-criteria decision making, including multiple rule-based decision making, multiple-objective decision making, and multiple-attribute decision making, is used by clinical decision makers to analyze healthcare issues from various perspectives. In practical healthcare cases, semi-structured and unstructured decision-making issues involve multiple criteria that may conflict with each other. Thus, the use of multiple-criteria decision making is a promising source of practical solutions for such problems. AI-Enabled Multiple-Criteria Decision-Making Approaches for Healthcare Management investigates the contributions of practical multiple-criteria decision analysis applications and cases for healthcare management. The book also considers the best practices and tactics for utilizing multiple-criteria decision making to ensure the technology is utilized appropriately. Covering key topics such as fuzzy data, augmented reality, blockchain, and data transmission, this reference work is ideal for computer scientists, healthcare professionals, nurses, policymakers, researchers, scholars, academicians, practitioners, educators, and students.

Decision Making in Healthcare Systems

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Release : 2023-12-31
Genre : Technology & Engineering
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Book Rating : 353/5 ( reviews)

Decision Making in Healthcare Systems - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Decision Making in Healthcare Systems write by Tofigh Allahviranloo. This book was released on 2023-12-31. Decision Making in Healthcare Systems available in PDF, EPUB and Kindle. This book chooses the topic which is due to the editors' experience in modeling projects in healthcare systems. Also, the transfer of experiences is the reason why mathematical modeling and decision making in the field of health are not given much attention. To this end, the new aspect of this book is the lack of reference needed to carry out projects in the field of health for researchers whose main expertise is not modeling. Students of health, mathematics, management, and industrial engineering fields are in the direct readership with this book. Different projects in the field of healthcare systems can use the topics presented in different chapters mentioned in this book.