Knowledge Modelling And Big Data Analytics In Healthcare
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Knowledge Modelling And Big Data Analytics In Healthcare
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Author : Mayuri Mehta
language : en
Publisher: CRC Press
Release Date : 2021-12-08
Knowledge Modelling And Big Data Analytics In Healthcare written by Mayuri Mehta and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-08 with Computers categories.
Knowledge Modelling and Big Data Analytics in Healthcare: Advances and Applications focuses on automated analytical techniques for healthcare applications used to extract knowledge from a vast amount of data. It brings together a variety of different aspects of the healthcare system and aids in the decision-making processes for healthcare professionals. The editors connect four contemporary areas of research rarely brought together in one book: artificial intelligence, big data analytics, knowledge modelling, and healthcare. They present state-of-the-art research from the healthcare sector, including research on medical imaging, healthcare analysis, and the applications of artificial intelligence in drug discovery. This book is intended for data scientists, academicians, and industry professionals in the healthcare sector.
Data Analytics In Medicine Concepts Methodologies Tools And Applications
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Author : Management Association, Information Resources
language : en
Publisher: IGI Global
Release Date : 2019-12-06
Data Analytics In Medicine Concepts Methodologies Tools And Applications written by Management Association, Information Resources and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-06 with Medical categories.
Advancements in data science have created opportunities to sort, manage, and analyze large amounts of data more effectively and efficiently. Applying these new technologies to the healthcare industry, which has vast quantities of patient and medical data and is increasingly becoming more data-reliant, is crucial for refining medical practices and patient care. Data Analytics in Medicine: Concepts, Methodologies, Tools, and Applications is a vital reference source that examines practical applications of healthcare analytics for improved patient care, resource allocation, and medical performance, as well as for diagnosing, predicting, and identifying at-risk populations. Highlighting a range of topics such as data security and privacy, health informatics, and predictive analytics, this multi-volume book is ideally designed for doctors, hospital administrators, nurses, medical professionals, IT specialists, computer engineers, information technologists, biomedical engineers, data-processing specialists, healthcare practitioners, academicians, and researchers interested in current research on the connections between data analytics in the field of medicine.
Data Management Analytics And Innovation
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Author : Neha Sharma
language : en
Publisher: Springer Nature
Release Date : 2019-10-24
Data Management Analytics And Innovation written by Neha Sharma and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-24 with Technology & Engineering categories.
This book presents the latest findings in the areas of data management and smart computing, big data management, artificial intelligence and data analytics, along with advances in network technologies. It addresses state-of-the-art topics and discusses challenges and solutions for future development. Gathering original, unpublished contributions by scientists from around the globe, the book is mainly intended for a professional audience of researchers and practitioners in academia and industry.
Big Data Analytics
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Author : P. Krishna Reddy
language : en
Publisher: Springer
Release Date : 2017-12-04
Big Data Analytics written by P. Krishna Reddy and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-12-04 with Computers categories.
This book constitutes the refereed conference proceedings of the 5th International Conference on Big Data Analytics, BDA 2017, held in Hyderabad, India, in December 2017. The 21 revised full papers were carefully reviewed and selected from 80 submissions and cover topics on big data analytics, information and knowledge management, mining of massive datasets, computational modeling, data mining and analysis.
Explainable Ai Foundations Methodologies And Applications
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Author : Mayuri Mehta
language : en
Publisher: Springer Nature
Release Date : 2022-10-19
Explainable Ai Foundations Methodologies And Applications written by Mayuri Mehta and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-10-19 with Technology & Engineering categories.
This book presents an overview and several applications of explainable artificial intelligence (XAI). It covers different aspects related to explainable artificial intelligence, such as the need to make the AI models interpretable, how black box machine/deep learning models can be understood using various XAI methods, different evaluation metrics for XAI, human-centered explainable AI, and applications of explainable AI in health care, security surveillance, transportation, among other areas. The book is suitable for students and academics aiming to build up their background on explainable AI and can guide them in making machine/deep learning models more transparent. The book can be used as a reference book for teaching a graduate course on artificial intelligence, applied machine learning, or neural networks. Researchers working in the area of AI can use this book to discover the recent developments in XAI. Besides its use in academia, this book could be used by practitioners in AI industries, healthcare industries, medicine, autonomous vehicles, and security surveillance, who would like to develop AI techniques and applications with explanations.
Big Data Computing
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Author : Tanvir Habib Sardar
language : en
Publisher: CRC Press
Release Date : 2024-02-27
Big Data Computing written by Tanvir Habib Sardar and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-27 with Computers categories.
This book primarily aims to provide an in-depth understanding of recent advances in big data computing technologies, methodologies, and applications along with introductory details of big data computing models such as Apache Hadoop, MapReduce, Hive, Pig, Mahout in-memory storage systems, NoSQL databases, and big data streaming services such as Apache Spark, Kafka, and so forth. It also covers developments in big data computing applications such as machine learning, deep learning, graph processing, and many others. Features: Provides comprehensive analysis of advanced aspects of big data challenges and enabling technologies. Explains computing models using real-world examples and dataset-based experiments. Includes case studies, quality diagrams, and demonstrations in each chapter. Describes modifications and optimization of existing technologies along with the novel big data computing models. Explores references to machine learning, deep learning, and graph processing. This book is aimed at graduate students and researchers in high-performance computing, data mining, knowledge discovery, and distributed computing.
Smart Medical Imaging For Diagnosis And Treatment Planning
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Author : Nilanjan Dey
language : en
Publisher: CRC Press
Release Date : 2024-07-31
Smart Medical Imaging For Diagnosis And Treatment Planning written by Nilanjan Dey and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-31 with Computers categories.
This book presents advanced research on smart health technologies, focusing on the innovative transformations in diagnosis and treatment planning using medical imaging and data analysed by data science techniques. It shows how smart health technologies leverage artificial intelligence (AI) and big data analytics to provide more accurate and efficient diagnosis and treatment planning. In search for innovative and novel methods and techniques for health technologies and medical data processing, the book • Discusses applications of Artificial Intelligence, Data Science, Machine Learning, Deep Learning, the Internet of Things, Big Data, Cloud Computing; • Includes use of electronic patient records in healthcare, analysis of big data in medical diagnosis, reliability, and challenges of EPR and EHR in smart healthcare; • Explores evolving techniques for smart healthcare, its application in medical imaging and prediction in the fields of treatment planning; • Provides recent studies in AI-driven healthcare technologies and medical imaging to outline insight into smart healthcare technologies; • Discusses the role of big data in smart healthcare, computing techniques for healthcare for medical diagnosis and treatment planning; • Encompasses the ethical and legal challenges of using smart healthcare and medical data. This book serves as a valuable reference for researchers working on smart health technologies. Researchers of medical imaging, artificial intelligence, and data science along with healthcare domain will find it a great resource as well.
Cognizance Of Schizophrenia A Profound Insight Into The Psyche
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Author : Indranath Chatterjee
language : en
Publisher: Springer Nature
Release Date : 2023-01-01
Cognizance Of Schizophrenia A Profound Insight Into The Psyche written by Indranath Chatterjee and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-01-01 with Medical categories.
This book provides the reader with a thorough understanding of schizophrenia as a complex brain disorder by explaining the various aspects investigated for its cognizance from epigenetics to chemistry and physics to computational approaches. The book covers the key notions of schizophrenia from a variety of facets such as neurogenetics, neurochemistry, neuropharmacology, neurobiology, psychotherapy, psychiatric treatment, cognitive studies, behavioral and societal studies, and computational neurosciences. Individual chapters are focused on crucial topics such as cognitive-behavioral therapy, brain functioning, computational neuroscience, neuro-imaging, and many more. This book explains each section and chapter with utmost clarity to maintain comprehensiveness for every kind of reader. This book covers various classical as well as recent topics from basic to advance level knowledge regarding schizophrenia. The book's contributions regarding its inclusivity of topics, comprehensiveness of language, diversity in knowledge, and focus on the subject will attract all kinds of readers. It can be considered a single comprehensive handy reference book for beginners, including medical students, neuroscientists, researchers, clinicians, and medical practitioners. Cognizance of Schizophrenia will be an invaluable asset for all who are involved in neuroscience research or clinical studies.
Health Informatics E Book
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Author : Ramona Nelson
language : en
Publisher: Elsevier Health Sciences
Release Date : 2016-12-08
Health Informatics E Book written by Ramona Nelson and has been published by Elsevier Health Sciences this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-12-08 with Medical categories.
Awarded second place in the 2017 AJN Book of the Year Awards in the Information Technology category. See how information technology intersects with health care! Health Informatics: An Interprofessional Approach, 2nd Edition prepares you for success in today's technology-filled healthcare practice. Concise coverage includes information systems and applications such as electronic health records, clinical decision support, telehealth, ePatients, and social media tools, as well as system implementation. New to this edition are topics including data science and analytics, mHealth, principles of project management, and contract negotiations. Written by expert informatics educators Ramona Nelson and Nancy Staggers, this edition enhances the book that won a 2013 American Journal of Nursing Book of the Year award! - Experts from a wide range of health disciplines cover the latest on the interprofessional aspects of informatics — a key Quality and Safety Education for Nurses (QSEN) initiative and a growing specialty area in nursing. - Case studies encourage higher-level thinking about how concepts apply to real-world nursing practice. - Discussion questions challenge you to think critically and to visualize the future of health informatics. - Objectives, key terms and an abstract at the beginning of each chapter provide an overview of what you will learn. - Conclusion and Future Directions section at the end of each chapter describes how informatics will continue to evolve as healthcare moves to an interprofessional foundation. - NEW! Updated chapters reflect the current and evolving practice of health informatics, using real-life healthcare examples to show how informatics applies to a wide range of topics and issues. - NEW mHealth chapter discusses the use of mobile technology, a new method of health delivery — especially for urban or under-served populations — and describes the changing levels of responsibility for both patients and providers. - NEW Data Science and Analytics in Healthcare chapter shows how Big Data — as well as analytics using data mining and knowledge discovery techniques — applies to healthcare. - NEW Project Management Principles chapter discusses proven project management tools and techniques for coordinating all types of health informatics-related projects. - NEW Contract Negotiations chapter describes strategic methods and tips for negotiating a contract with a healthcare IT vendor. - NEW Legal Issues chapter explains how federal regulations and accreditation processes may impact the practice of health informatics. - NEW HITECH Act chapter explains the regulations relating to health informatics in the Health Information Technology for Education and Clinical Health Act as well as the Meaningful Use and Medicare Access & CHIP Reauthorization Act of 2015.
Computational Intelligence Algorithms For The Diagnosis Of Neurological Disorders
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Author : S. N. Kumar
language : en
Publisher: CRC Press
Release Date : 2025-08-06
Computational Intelligence Algorithms For The Diagnosis Of Neurological Disorders written by S. N. Kumar and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-06 with Computers categories.
This book delves into the transformative potential of artificial intelligence (AI) and machine learning (ML) as game-changers in diagnosing and managing neurodisorder conditions. It covers a wide array of methodologies, algorithms, and applications in depth. Computational Intelligence Algorithms for the Diagnosis of Neurological Disorders equips readers with a comprehensive understanding of how computational intelligence empowers healthcare professionals in the fight against neurodisorders. Through practical examples and clear explanations, it explores the diverse applications of these technologies, showcasing their ability to analyze complex medical data, identify subtle patterns, and contribute to the development of more accurate and efficient diagnostic tools. The authors delve into the exciting possibilities of AI-powered algorithms, exploring their ability to analyze various data sources like neuroimaging scans, genetic information, and cognitive assessments. They also examine the realm of ML for pattern recognition, enabling the identification of early disease markers and facilitating timely intervention. Finally, the authors also address the critical challenges of data privacy and security, emphasizing the need for robust ethical frameworks to safeguard sensitive patient information. This book aims to spark a conversation and foster collaboration among researchers, clinicians, and technologists, and will assist radiologists and neurologists in making precise diagnoses with enhanced accuracy.