Big Data In Oncology Impact Challenges And Risk Assessment

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Big Data in Oncology: Impact, Challenges, and Risk Assessment

Author : Neeraj Kumar Fuloria
Publisher : CRC Press
ISBN 13 : 1000965260
Total Pages : 415 pages
Book Rating : 4.0/5 (9 download)

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Book Synopsis Big Data in Oncology: Impact, Challenges, and Risk Assessment by : Neeraj Kumar Fuloria

Download or read book Big Data in Oncology: Impact, Challenges, and Risk Assessment written by Neeraj Kumar Fuloria and published by CRC Press. This book was released on 2023-12-21 with total page 415 pages. Available in PDF, EPUB and Kindle. Book excerpt: We are in the era of large-scale science. In oncology there is a huge number of data sets grouping information on cancer genomes, transcriptomes, clinical data, and more. The challenge of big data in cancer is to integrate all this diversity of data collected into a unique platform that can be analyzed, leading to the generation of readable files. The possibility of harnessing information from all the accumulated data leads to an improvement in cancer patient treatment and outcome. Solving the big data problem in oncology has multiple facets. Big data in Oncology: Impact, Challenges, and Risk Assessment brings together insights from emerging sophisticated information and communication technologies such as artificial intelligence, data science, and big data analytics for cancer management. This book focuses on targeted disease treatment using big data analytics. It provides information about targeted treatment in oncology, challenges and application of big data in cancer therapy. Recent developments in the fields of artificial intelligence, machine learning, medical imaging, personalized medicine, computing and data analytics for improved patient care. Description of the application of big data with AI to discover new targeting points for cancer treatment. Summary of several risk assessments in the field of oncology using big data. Focus on prediction of doses in oncology using big data The most targeted or relevant audience is academics, research scholars, health care professionals, hospital management, pharmaceutical chemists, the biomedical industry, software engineers and IT professionals.

Big Data in Oncology

Author : Neeraj Kumar Fuloria
Publisher :
ISBN 13 : 9788770228121
Total Pages : 0 pages
Book Rating : 4.2/5 (281 download)

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Book Synopsis Big Data in Oncology by : Neeraj Kumar Fuloria

Download or read book Big Data in Oncology written by Neeraj Kumar Fuloria and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: We are in the era of large-scale science. In oncology there is a huge number of data sets grouping information on cancer genomes, transcriptomes, clinical data, and more. The challenge of big data in cancer is to integrate all this diversity of data collected into a unique platform that can be analyzed, leading to the generation of readable files. The possibility of harnessing information from all the accumulated data leads to an improvement in cancer patient treatment and outcome. Solving the big data problem in oncology has multiple facets. Big data in Oncology: Impact, Challenges, and Risk Assessment brings together insights from emerging sophisticated information and communication technologies such as artificial intelligence, data science, and big data analytics for cancer management. This book focuses on targeted disease treatment using big data analytics. It provides information about the targeted treatment in oncology, challenges and application of big data in cancer therapy. Features include: • Recent developments in the fields of artificial intelligence, machine learning, medical imaging, personalized medicine, computing and data analytics for improved patient care. • Description of the application of big data with AI to discover new targeting points for cancer treatment. • Summary of several risk assessments in the field of oncology using big data. • Focus on prediction of doses in oncology using big data. The most targeted or relevant audience is academicians, research scholars, health care professionals, hospital management, pharmaceutical chemist, biomedical industry, software engineers and IT professionals.

Recent Trends in Artificial Intelligence Towards a Smart World

Author : Rajeev Arya
Publisher : Springer Nature
ISBN 13 : 9819767903
Total Pages : 437 pages
Book Rating : 4.8/5 (197 download)

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Book Synopsis Recent Trends in Artificial Intelligence Towards a Smart World by : Rajeev Arya

Download or read book Recent Trends in Artificial Intelligence Towards a Smart World written by Rajeev Arya and published by Springer Nature. This book was released on with total page 437 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Applying Big Data to Address the Social Determinants of Health in Oncology

Author : National Academies of Sciences, Engineering, and Medicine
Publisher : National Academies Press
ISBN 13 : 0309679060
Total Pages : 83 pages
Book Rating : 4.3/5 (96 download)

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Book Synopsis Applying Big Data to Address the Social Determinants of Health in Oncology by : National Academies of Sciences, Engineering, and Medicine

Download or read book Applying Big Data to Address the Social Determinants of Health in Oncology written by National Academies of Sciences, Engineering, and Medicine and published by National Academies Press. This book was released on 2020-08-14 with total page 83 pages. Available in PDF, EPUB and Kindle. Book excerpt: The National Academies of Sciences, Engineering, and Medicine held the workshop Applying Big Data to Address the Social Determinants of Health in Oncology on October 28â€"29, 2019, in Washington, DC. This workshop examined social determinants of health (SDOH) in the context of cancer, and considered opportunities to effectively leverage big data to improve health equity and reduce disparities. The workshop featured presentations and discussion by experts in technology, oncology, and SDOH, as well as representatives from government, industry, academia, and health care systems. This publication summarizes the presentations and discussions from the workshop.

Challenges and their Implications for the Clinical Practice of Head and Neck Cancer

Author : Steffi Ulrike Pigorsch
Publisher : Frontiers Media SA
ISBN 13 : 2832515320
Total Pages : 235 pages
Book Rating : 4.8/5 (325 download)

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Book Synopsis Challenges and their Implications for the Clinical Practice of Head and Neck Cancer by : Steffi Ulrike Pigorsch

Download or read book Challenges and their Implications for the Clinical Practice of Head and Neck Cancer written by Steffi Ulrike Pigorsch and published by Frontiers Media SA. This book was released on 2023-02-27 with total page 235 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Big Data Analytics in Healthcare

Author : Anand J. Kulkarni
Publisher : Springer Nature
ISBN 13 : 3030316726
Total Pages : 193 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Big Data Analytics in Healthcare by : Anand J. Kulkarni

Download or read book Big Data Analytics in Healthcare written by Anand J. Kulkarni and published by Springer Nature. This book was released on 2019-10-01 with total page 193 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes state-of-the-art discussions on various issues and aspects of the implementation, testing, validation, and application of big data in the context of healthcare. The concept of big data is revolutionary, both from a technological and societal well-being standpoint. This book provides a comprehensive reference guide for engineers, scientists, and students studying/involved in the development of big data tools in the areas of healthcare and medicine. It also features a multifaceted and state-of-the-art literature review on healthcare data, its modalities, complexities, and methodologies, along with mathematical formulations. The book is divided into two main sections, the first of which discusses the challenges and opportunities associated with the implementation of big data in the healthcare sector. In turn, the second addresses the mathematical modeling of healthcare problems, as well as current and potential future big data applications and platforms.

Artificial Intelligence and Precision Oncology

Author : Zodwa Dlamini
Publisher : Springer Nature
ISBN 13 : 3031215060
Total Pages : 317 pages
Book Rating : 4.0/5 (312 download)

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Book Synopsis Artificial Intelligence and Precision Oncology by : Zodwa Dlamini

Download or read book Artificial Intelligence and Precision Oncology written by Zodwa Dlamini and published by Springer Nature. This book was released on 2023-01-21 with total page 317 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights the use of artificial intelligence (AI), big data and precision oncology for medical decision making in cancer screening, diagnosis, prognosis and treatment. Precision oncology has long been thought of as ideal for the management and treatment of cancer. This strategy promises to revolutionize the treatment, control, and prevention of cancer by tailoring tests, treatments and predictions to specific individuals or population groups. In order to accomplish these goals, vast amounts of patient or population group specific data needs to be integrated and analysed to be able to identify key patterns or features which can be used to define or characterize the disease or the response to the disease in these individuals. These patterns or features can be as varied as molecular patterns or features in medical images. This level of data analysis and integration can only be achieved through the use of AI. The book is divided into three parts starting with a section on the use of artificial intelligence for screening, diagnosis and monitoring in precision oncology. The second part: Artificial intelligence and Omics in precision oncology, highlights the use of AI and epigenetics, metabolomics, microbiomics in precision oncology. The third part covers artificial intelligence in cancer therapy and its clinical applications. It also highlights the use of AI tools for risk prediction, early detection, diagnosis and accurate prognosis. This book, written by experts in the field from academia and industry, will appeal to cancer researchers, clinical oncologists, pathologists, medical students, academic teaching staff and medical residents interested in cancer research as well as those specialising as clinical oncologists.

Security and Privacy Trends in Cloud Computing and Big Data

Author : Muhammad Imran Tariq
Publisher : CRC Press
ISBN 13 : 1000583635
Total Pages : 233 pages
Book Rating : 4.0/5 (5 download)

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Book Synopsis Security and Privacy Trends in Cloud Computing and Big Data by : Muhammad Imran Tariq

Download or read book Security and Privacy Trends in Cloud Computing and Big Data written by Muhammad Imran Tariq and published by CRC Press. This book was released on 2022-06-07 with total page 233 pages. Available in PDF, EPUB and Kindle. Book excerpt: It is essential for an organization to know before involving themselves in cloud computing and big data, what are the key security requirements for applications and data processing. Big data and cloud computing are integrated together in practice. Cloud computing offers massive storage, high computation power, and distributed capability to support processing of big data. In such an integrated environment the security and privacy concerns involved in both technologies become combined. This book discusses these security and privacy issues in detail and provides necessary insights into cloud computing and big data integration. It will be useful in enhancing the body of knowledge concerning innovative technologies offered by the research community in the area of cloud computing and big data. Readers can get a better understanding of the basics of cloud computing, big data, and security mitigation techniques to deal with current challenges as well as future research opportunities.

Precision Public Health

Author : Tarun Weeramanthri
Publisher : Frontiers Media SA
ISBN 13 : 2889455017
Total Pages : 149 pages
Book Rating : 4.8/5 (894 download)

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Book Synopsis Precision Public Health by : Tarun Weeramanthri

Download or read book Precision Public Health written by Tarun Weeramanthri and published by Frontiers Media SA. This book was released on 2018-06-25 with total page 149 pages. Available in PDF, EPUB and Kindle. Book excerpt: Precision Public Health is a new and rapidly evolving field, that examines the application of new technologies to public health policy and practice. It draws on a broad range of disciplines including genomics, spatial data, data linkage, epidemiology, health informatics, big data, predictive analytics and communications. The hope is that these new technologies will strengthen preventive health, improve access to health care, and reach disadvantaged populations in all areas of the world. But what are the downsides and what are the risks, and how can we ensure the benefits flow to those population groups most in need, rather than simply to those individuals who can afford to pay? This is the first collection of theoretical frameworks, analyses of empirical data, and case studies to be assembled on this topic, published to stimulate debate and promote collaborative work.

Big Data in Radiation Oncology

Author : Jun Deng
Publisher : CRC Press
ISBN 13 : 1351801120
Total Pages : 311 pages
Book Rating : 4.3/5 (518 download)

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Book Synopsis Big Data in Radiation Oncology by : Jun Deng

Download or read book Big Data in Radiation Oncology written by Jun Deng and published by CRC Press. This book was released on 2019-03-07 with total page 311 pages. Available in PDF, EPUB and Kindle. Book excerpt: Big Data in Radiation Oncology gives readers an in-depth look into how big data is having an impact on the clinical care of cancer patients. While basic principles and key analytical and processing techniques are introduced in the early chapters, the rest of the book turns to clinical applications, in particular for cancer registries, informatics, radiomics, radiogenomics, patient safety and quality of care, patient-reported outcomes, comparative effectiveness, treatment planning, and clinical decision-making. More features of the book are: Offers the first focused treatment of the role of big data in the clinic and its impact on radiation therapy. Covers applications in cancer registry, radiomics, patient safety, quality of care, treatment planning, decision making, and other key areas. Discusses the fundamental principles and techniques for processing and analysis of big data. Address the use of big data in cancer prevention, detection, prognosis, and management. Provides practical guidance on implementation for clinicians and other stakeholders. Dr. Jun Deng is a professor at the Department of Therapeutic Radiology of Yale University School of Medicine and an ABR board certified medical physicist at Yale-New Haven Hospital. He has received numerous honors and awards such as Fellow of Institute of Physics in 2004, AAPM Medical Physics Travel Grant in 2008, ASTRO IGRT Symposium Travel Grant in 2009, AAPM-IPEM Medical Physics Travel Grant in 2011, and Fellow of AAPM in 2013. Lei Xing, Ph.D., is the Jacob Haimson Professor of Medical Physics and Director of Medical Physics Division of Radiation Oncology Department at Stanford University. His research has been focused on inverse treatment planning, tomographic image reconstruction, CT, optical and PET imaging instrumentations, image guided interventions, nanomedicine, and applications of molecular imaging in radiation oncology. Dr. Xing is on the editorial boards of a number of journals in radiation physics and medical imaging, and is recipient of numerous awards, including the American Cancer Society Research Scholar Award, The Whitaker Foundation Grant Award, and a Max Planck Institute Fellowship.

Big Data

Author :
Publisher :
ISBN 13 :
Total Pages : 156 pages
Book Rating : 4.:/5 (728 download)

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Book Synopsis Big Data by :

Download or read book Big Data written by and published by . This book was released on 2011 with total page 156 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Ultrasound in Oncology: Application of Big Data and Artificial Intelligence

Author : Hui-Xiong Xu
Publisher : Frontiers Media SA
ISBN 13 : 288974311X
Total Pages : 129 pages
Book Rating : 4.8/5 (897 download)

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Book Synopsis Ultrasound in Oncology: Application of Big Data and Artificial Intelligence by : Hui-Xiong Xu

Download or read book Ultrasound in Oncology: Application of Big Data and Artificial Intelligence written by Hui-Xiong Xu and published by Frontiers Media SA. This book was released on 2022-02-09 with total page 129 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Artificial Intelligence in Healthcare

Author : Adam Bohr
Publisher : Academic Press
ISBN 13 : 0128184396
Total Pages : 385 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Artificial Intelligence in Healthcare by : Adam Bohr

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

Validation of Risk Management Models for Financial Institutions

Author : David Lynch
Publisher : Cambridge University Press
ISBN 13 : 1108497357
Total Pages : 489 pages
Book Rating : 4.1/5 (84 download)

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Book Synopsis Validation of Risk Management Models for Financial Institutions by : David Lynch

Download or read book Validation of Risk Management Models for Financial Institutions written by David Lynch and published by Cambridge University Press. This book was released on 2023-01-31 with total page 489 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive book on validation with coverage of all the risk management models.

Measuring Quality in a Shifting Payment Landscape: Implications for Surgical Oncology, An Issue of Surgical Oncology Clinics of North America

Download Measuring Quality in a Shifting Payment Landscape: Implications for Surgical Oncology, An Issue of Surgical Oncology Clinics of North America PDF Online Free

Author : Caprice C. Greenberg
Publisher : Elsevier Health Sciences
ISBN 13 : 0323640982
Total Pages : 161 pages
Book Rating : 4.3/5 (236 download)

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Book Synopsis Measuring Quality in a Shifting Payment Landscape: Implications for Surgical Oncology, An Issue of Surgical Oncology Clinics of North America by : Caprice C. Greenberg

Download or read book Measuring Quality in a Shifting Payment Landscape: Implications for Surgical Oncology, An Issue of Surgical Oncology Clinics of North America written by Caprice C. Greenberg and published by Elsevier Health Sciences. This book was released on 2018-09-11 with total page 161 pages. Available in PDF, EPUB and Kindle. Book excerpt: This issue of Surgical Oncology Clinics of North America, guest edited by Drs. Caprice C. Greenberg and Daniel E. Abbott, is devoted to Measuring Quality in a Shifting Payment Landscape: Implications for Surgical Oncology. Drs. Caprice C. Greenberg and Daniel E. Abbott have assembled expert authors to review the following topics: Implications of the Affordable Care Act or Surgery and Cancer Care; Repealing the Affordable Care Act and Implications for Cancer Care; Quality Measurement and Pay for Performance; Surgical Collaboratives for Quality Improvement; Big Data and Cancer Care; Cancer Care Delivery Research; Engaging Stakeholders and Patient Partners; Beyond Morbidity and Mortaility - Outcomes that Matter to Patients; Regionalization and its Alternatives; The Economics of the End of Life: Power of Attorney, Palliative Care, Utilization of Hospice; The Accountable Care Organization for Surgical Care; and more!

Artificial Intelligence Theory, Models, and Applications

Author : P Kaliraj
Publisher : CRC Press
ISBN 13 : 1000460606
Total Pages : 507 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Artificial Intelligence Theory, Models, and Applications by : P Kaliraj

Download or read book Artificial Intelligence Theory, Models, and Applications written by P Kaliraj and published by CRC Press. This book was released on 2021-10-21 with total page 507 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book examines the fundamentals and technologies of Artificial Intelligence (AI) and describes their tools, challenges, and issues. It also explains relevant theory as well as industrial applications in various domains, such as healthcare, economics, education, product development, agriculture, human resource management, environmental management, and marketing. The book is a boon to students, software developers, teachers, members of boards of studies, and researchers who need a reference resource on artificial intelligence and its applications and is primarily intended for use in courses offered by higher education institutions that strive to equip their graduates with Industry 4.0 skills. FEATURES: Gender disparity in the enterprises involved in the development of AI-based software development as well as solutions to eradicate such gender bias in the AI world A general framework for AI in environmental management, smart farming, e-waste management, and smart energy optimization The potential and application of AI in medical imaging as well as the challenges of AI in precision medicine AI’s role in the diagnosis of various diseases, such as cancer and diabetes The role of machine learning models in product development and statistically monitoring product quality Machine learning to make robust and effective economic policy decisions Machine learning and data mining approaches to provide better video indexing mechanisms resulting in better searchable results ABOUT THE EDITORS: Prof. Dr. P. Kaliraj is Vice Chancellor at Bharathiar University, Coimbatore, India. Prof. Dr. T. Devi is Professor and Head of the Department of Computer Applications, Bharathiar University, Coimbatore, India.

Machine Learning in Radiation Oncology

Author : Issam El Naqa
Publisher : Springer
ISBN 13 : 3319183052
Total Pages : 336 pages
Book Rating : 4.3/5 (191 download)

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Book Synopsis Machine Learning in Radiation Oncology by : Issam El Naqa

Download or read book Machine Learning in Radiation Oncology written by Issam El Naqa and published by Springer. This book was released on 2015-06-19 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a complete overview of the role of machine learning in radiation oncology and medical physics, covering basic theory, methods, and a variety of applications in medical physics and radiotherapy. An introductory section explains machine learning, reviews supervised and unsupervised learning methods, discusses performance evaluation, and summarizes potential applications in radiation oncology. Detailed individual sections are then devoted to the use of machine learning in quality assurance; computer-aided detection, including treatment planning and contouring; image-guided radiotherapy; respiratory motion management; and treatment response modeling and outcome prediction. The book will be invaluable for students and residents in medical physics and radiation oncology and will also appeal to more experienced practitioners and researchers and members of applied machine learning communities.