Artificial Intelligence For Data Driven Medical Diagnosis

Author : Deepak Gupta
Publisher : Walter de Gruyter GmbH & Co KG
ISBN 13 : 3110668327
Total Pages : 326 pages
Book Rating : 4.22/5 ( download)

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Download or read book Artificial Intelligence for Data-Driven Medical Diagnosis written by Deepak Gupta and published by Walter de Gruyter GmbH & Co KG. This book was released on 2021-02-08 with total page 326 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book collects research works of data-driven medical diagnosis done via Artificial Intelligence based solutions, such as Machine Learning, Deep Learning and Intelligent Optimization. Physical devices powered with Artificial Intelligence are gaining importance in diagnosis and healthcare. Medical data from different sources can also be analyzed via Artificial Intelligence techniques for more effective results.

Author : Adam Bohr
Publisher : Academic Press
ISBN 13 : 0128184396
Total Pages : 385 pages
Book Rating : 4.94/5 ( download)

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Download or read book Artificial Intelligence in Healthcare written by Adam Bohr and published by Academic Press. This book was released on 2020-06-21 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. Highlights different data techniques in healthcare data analysis, including machine learning and data mining Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks Includes applications and case studies across all areas of AI in healthcare data

Author : Harry Glorikian
Publisher : Taylor & Francis
ISBN 13 : 1351984330
Total Pages : 591 pages
Book Rating : 4.31/5 ( download)

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Download or read book MoneyBall Medicine written by Harry Glorikian and published by Taylor & Francis. This book was released on 2017-11-20 with total page 591 pages. Available in PDF, EPUB and Kindle. Book excerpt: How can a smartwatch help patients with diabetes manage their disease? Why can’t patients find out prices for surgeries and other procedures before they happen? How can researchers speed up the decade-long process of drug development? How will "Precision Medicine" impact patient care outside of cancer? What can doctors, hospitals, and health systems do to ensure they are maximizing high-value care? How can healthcare entrepreneurs find success in this data-driven market? A revolution is transforming the $10 trillion healthcare landscape, promising greater transparency, improved efficiency, and new ways of delivering care. This new landscape presents tremendous opportunity for those who are ready to embrace the data-driven reality. Having the right data and knowing how to use it will be the key to success in the healthcare market in the future. We are already starting to see the impacts in drug development, precision medicine, and how patients with rare diseases are diagnosed and treated. Startups are launched every week to fill an unmet need and address the current problems in the healthcare system. Digital devices and artificial intelligence are helping doctors do their jobs faster and with more accuracy. MoneyBall Medicine: Thriving in the New Data-Driven Healthcare Market, which includes interviews with dozens of healthcare leaders, describes the business challenges and opportunities arising for those working in one of the most vibrant sectors of the world’s economy. Doctors, hospital administrators, health information technology directors, and entrepreneurs need to adapt to the changes effecting healthcare today in order to succeed in the new, cost-conscious and value-based environment of the future. The authors map out many of the changes taking place, describe how they are impacting everyone from patients to researchers to insurers, and outline some predictions for the healthcare industry in the years to come.

Author : Chengliang Yang
Publisher : CRC Press
ISBN 13 : 1000700038
Total Pages : 119 pages
Book Rating : 4.39/5 ( download)

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Download or read book Data Driven Approaches for Healthcare written by Chengliang Yang and published by CRC Press. This book was released on 2019-10-01 with total page 119 pages. Available in PDF, EPUB and Kindle. Book excerpt: Health care utilization routinely generates vast amounts of data from sources ranging from electronic medical records, insurance claims, vital signs, and patient-reported outcomes. Predicting health outcomes using data modeling approaches is an emerging field that can reveal important insights into disproportionate spending patterns. This book presents data driven methods, especially machine learning, for understanding and approaching the high utilizers problem, using the example of a large public insurance program. It describes important goals for data driven approaches from different aspects of the high utilizer problem, and identifies challenges uniquely posed by this problem. Key Features: Introduces basic elements of health care data, especially for administrative claims data, including disease code, procedure codes, and drug codes Provides tailored supervised and unsupervised machine learning approaches for understanding and predicting the high utilizers Presents descriptive data driven methods for the high utilizer population Identifies a best-fitting linear and tree-based regression model to account for patients’ acute and chronic condition loads and demographic characteristics

Author : Connolly, Thomas M.
Publisher : IGI Global
ISBN 13 : 1668450941
Total Pages : 406 pages
Book Rating : 4.49/5 ( download)

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Download or read book Diverse Perspectives and State-of-the-Art Approaches to the Utilization of Data-Driven Clinical Decision Support Systems written by Connolly, Thomas M. and published by IGI Global. This book was released on 2022-11-11 with total page 406 pages. Available in PDF, EPUB and Kindle. Book excerpt: The medical domain is home to many critical challenges that stand to be overcome with the use of data-driven clinical decision support systems (CDSS), and there is a growing set of examples of automated diagnosis, prognosis, drug design, and testing. However, the current state of AI in medicine has been summarized as “high on promise and relatively low on data and proof.” If such problems can be addressed, a data-driven approach will be very important to the future of CDSSs as it simplifies the knowledge acquisition and maintenance process, a process that is time-consuming and requires considerable human effort. Diverse Perspectives and State-of-the-Art Approaches to the Utilization of Data-Driven Clinical Decision Support Systems critically reflects on the challenges that data-driven CDSSs must address to become mainstream healthcare systems rather than a small set of exemplars of what might be possible. It further identifies evidence-based, successful data-driven CDSSs. Covering topics such as automated planning, diagnostic systems, and explainable artificial intelligence, this premier reference source is an excellent resource for medical professionals, healthcare administrators, IT managers, pharmacists, students and faculty of higher education, librarians, researchers, and academicians.

Author : Henry E Parkins
Publisher : Independently Published
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.40/5 ( download)

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Download or read book The Data-Driven Doctor written by Henry E Parkins and published by Independently Published. This book was released on 2024-04-02 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introducing "The Data-Driven Doctor: How AI is Transforming Medicine" Your Essential Guide to the Future of Healthcare! Embark on a groundbreaking journey into the world of artificial intelligence (AI) and medicine with "The Data-Driven Doctor." In this captivating book, you'll discover the transformative power of AI in reshaping the future of healthcare delivery, clinical decision-making, and patient care. From early disease detection to personalized treatment approaches, AI is revolutionizing every aspect of medicine, offering unprecedented opportunities to improve patient outcomes, enhance clinical efficiency, and drive innovation in healthcare. Through real-world examples, cutting-edge research, and expert insights, "The Data-Driven Doctor" explores the latest advancements in AI technology and their profound implications for the practice of medicine. Whether you're a healthcare professional seeking to stay ahead of the curve, a patient curious about the future of healthcare, or an AI enthusiast eager to learn about its transformative potential, this book is your indispensable guide to navigating the dynamic intersection of AI and medicine. Discover how AI-driven diagnostic tools are revolutionizing disease detection, how personalized medicine is transforming treatment paradigms, and how AI-powered clinical decision support systems are empowering healthcare providers to deliver more precise, patient-centered care than ever before. Explore the ethical, social, and regulatory considerations surrounding AI use in medicine, and gain valuable insights into the future of healthcare delivery in the digital age. Packed with fascinating anecdotes, thought-provoking insights, and actionable takeaways, "The Data-Driven Doctor" is a must-read for anyone passionate about the future of healthcare and the transformative potential of AI. Whether you're a seasoned healthcare professional, a curious patient, or an AI enthusiast, this book will inspire and inform, guiding you on an enlightening journey into the future of medicine. Don't miss out on your chance to explore the future of healthcare with "The Data-Driven Doctor." Order your copy today and join the revolution in AI-driven medicine!

Author : Om Prakash Jena
Publisher : CRC Press
ISBN 13 : 100098365X
Total Pages : 287 pages
Book Rating : 4.54/5 ( download)

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Download or read book Medical Data Analysis and Processing using Explainable Artificial Intelligence written by Om Prakash Jena and published by CRC Press. This book was released on 2023-11-02 with total page 287 pages. Available in PDF, EPUB and Kindle. Book excerpt: The text presents concepts of explainable artificial intelligence (XAI) in solving real world biomedical and healthcare problems. It will serve as an ideal reference text for graduate students and academic researchers in diverse fields of engineering including electrical, electronics and communication, computer, and biomedical. Presents explainable artificial intelligence (XAI) based machine analytics and deep learning in medical science. Discusses explainable artificial intelligence (XA)I with the Internet of Medical Things (IoMT) for healthcare applications. Covers algorithms, tools, and frameworks for explainable artificial intelligence on medical data. Explores the concepts of natural language processing and explainable artificial intelligence (XAI) on medical data processing. Discusses machine learning and deep learning scalability models in healthcare systems. This text focuses on data driven analysis and processing of advanced methods and techniques with the help of explainable artificial intelligence (XAI) algorithms. It covers machine learning, Internet of Things (IoT), and deep learning algorithms based on XAI techniques for medical data analysis and processing. The text will present different dimensions of XAI based computational intelligence applications. It will serve as an ideal reference text for graduate students and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer engineering, and biomedical engineering.

Author : C. Venkatesh
Publisher : John Wiley & Sons
ISBN 13 : 1119762049
Total Pages : 311 pages
Book Rating : 4.41/5 ( download)

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Download or read book Smart Systems for Industrial Applications written by C. Venkatesh and published by John Wiley & Sons. This book was released on 2022-01-07 with total page 311 pages. Available in PDF, EPUB and Kindle. Book excerpt: SMART SYSTEMS FOR INDUSTRIAL APPLICATIONS The prime objective of this book is to provide an insight into the role and advancements of artificial intelligence in electrical systems and future challenges. The book covers a broad range of topics about AI from a multidisciplinary point of view, starting with its history and continuing on to theories about artificial vs. human intelligence, concepts, and regulations concerning AI, human-machine distribution of power and control, delegation of decisions, the social and economic impact of AI, etc. The prominent role that AI plays in society by connecting people through technologies is highlighted in this book. It also covers key aspects of various AI applications in electrical systems in order to enable growth in electrical engineering. The impact that AI has on social and economic factors is also examined from various perspectives. Moreover, many intriguing aspects of AI techniques in different domains are covered such as e-learning, healthcare, smart grid, virtual assistance, etc. Audience The book will be of interest to researchers and postgraduate students in artificial intelligence, electrical and electronic engineering, as well as those engineers working in the application areas such as healthcare, energy systems, education, and others.

Author : Kenji Suzuki
Publisher : Springer
ISBN 13 : 331968843X
Total Pages : 387 pages
Book Rating : 4.35/5 ( download)

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Download or read book Artificial Intelligence in Decision Support Systems for Diagnosis in Medical Imaging written by Kenji Suzuki and published by Springer. This book was released on 2018-01-09 with total page 387 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers the first comprehensive overview of artificial intelligence (AI) technologies in decision support systems for diagnosis based on medical images, presenting cutting-edge insights from thirteen leading research groups around the world. Medical imaging offers essential information on patients’ medical condition, and clues to causes of their symptoms and diseases. Modern imaging modalities, however, also produce a large number of images that physicians have to accurately interpret. This can lead to an “information overload” for physicians, and can complicate their decision-making. As such, intelligent decision support systems have become a vital element in medical-image-based diagnosis and treatment. Presenting extensive information on this growing field of AI, the book offers a valuable reference guide for professors, students, researchers and professionals who want to learn about the most recent developments and advances in the field.

Author : Moein, Sara
Publisher : IGI Global
ISBN 13 : 146666147X
Total Pages : 326 pages
Book Rating : 4.79/5 ( download)

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Download or read book Medical Diagnosis Using Artificial Neural Networks written by Moein, Sara and published by IGI Global. This book was released on 2014-06-30 with total page 326 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advanced conceptual modeling techniques serve as a powerful tool for those in the medical field by increasing the accuracy and efficiency of the diagnostic process. The application of artificial intelligence assists medical professionals to analyze and comprehend a broad range of medical data, thus eliminating the potential for human error. Medical Diagnosis Using Artificial Neural Networks introduces effective parameters for improving the performance and application of machine learning and pattern recognition techniques to facilitate medical processes. This book is an essential reference work for academicians, professionals, researchers, and students interested in the relationship between artificial intelligence and medical science through the use of informatics to improve the quality of medical care.