Machine learning and data science in heart failure and stroke

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Publisher : Frontiers Media SA
ISBN 13 : 2832533388
Total Pages : 126 pages
Book Rating : 4.8/5 (325 download)

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Book Synopsis Machine learning and data science in heart failure and stroke by : Leonardo Roever

Download or read book Machine learning and data science in heart failure and stroke written by Leonardo Roever and published by Frontiers Media SA. This book was released on 2023-09-07 with total page 126 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Machine Learning and AI for Healthcare

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Publisher : Apress
ISBN 13 : 1484237994
Total Pages : 390 pages
Book Rating : 4.4/5 (842 download)

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Book Synopsis Machine Learning and AI for Healthcare by : Arjun Panesar

Download or read book Machine Learning and AI for Healthcare written by Arjun Panesar and published by Apress. This book was released on 2019-02-04 with total page 390 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explore the theory and practical applications of artificial intelligence (AI) and machine learning in healthcare. This book offers a guided tour of machine learning algorithms, architecture design, and applications of learning in healthcare and big data challenges. You’ll discover the ethical implications of healthcare data analytics and the future of AI in population and patient health optimization. You’ll also create a machine learning model, evaluate performance and operationalize its outcomes within your organization. Machine Learning and AI for Healthcare provides techniques on how to apply machine learning within your organization and evaluate the efficacy, suitability, and efficiency of AI applications. These are illustrated through leading case studies, including how chronic disease is being redefined through patient-led data learning and the Internet of Things. What You'll LearnGain a deeper understanding of key machine learning algorithms and their use and implementation within wider healthcare Implement machine learning systems, such as speech recognition and enhanced deep learning/AI Select learning methods/algorithms and tuning for use in healthcare Recognize and prepare for the future of artificial intelligence in healthcare through best practices, feedback loops and intelligent agentsWho This Book Is For Health care professionals interested in how machine learning can be used to develop health intelligence – with the aim of improving patient health, population health and facilitating significant care-payer cost savings.

Elements of Machine Learning

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Author :
Publisher : Morgan Kaufmann
ISBN 13 : 9781558603011
Total Pages : 436 pages
Book Rating : 4.6/5 (3 download)

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Book Synopsis Elements of Machine Learning by : Pat Langley

Download or read book Elements of Machine Learning written by Pat Langley and published by Morgan Kaufmann. This book was released on 1996 with total page 436 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine learning is the computational study of algorithms that improve performance based on experience, and this book covers the basic issues of artificial intelligence. Individual sections introduce the basic concepts and problems in machine learning, describe algorithms, discuss adaptions of the learning methods to more complex problem-solving tasks and much more.

Machine Learning with Health Care Perspective

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Publisher : Springer Nature
ISBN 13 : 3030408507
Total Pages : 418 pages
Book Rating : 4.0/5 (34 download)

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Book Synopsis Machine Learning with Health Care Perspective by : Vishal Jain

Download or read book Machine Learning with Health Care Perspective written by Vishal Jain and published by Springer Nature. This book was released on 2020-03-09 with total page 418 pages. Available in PDF, EPUB and Kindle. Book excerpt: This unique book introduces a variety of techniques designed to represent, enhance and empower multi-disciplinary and multi-institutional machine learning research in healthcare informatics. Providing a unique compendium of current and emerging machine learning paradigms for healthcare informatics, it reflects the diversity, complexity, and the depth and breadth of this multi-disciplinary area. Further, it describes techniques for applying machine learning within organizations and explains how to evaluate the efficacy, suitability, and efficiency of such applications. Featuring illustrative case studies, including how chronic disease is being redefined through patient-led data learning, the book offers a guided tour of machine learning algorithms, architecture design, and applications of learning in healthcare challenges.

Machine Learning in Cardiovascular Medicine

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Publisher : Academic Press
ISBN 13 : 0128202734
Total Pages : 454 pages
Book Rating : 4.1/5 (282 download)

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Book Synopsis Machine Learning in Cardiovascular Medicine by : Subhi J. Al'Aref, M.D.

Download or read book Machine Learning in Cardiovascular Medicine written by Subhi J. Al'Aref, M.D. and published by Academic Press. This book was released on 2020-12-11 with total page 454 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning in Cardiovascular Medicine addresses the ever-expanding applications of artificial intelligence (AI), specifically machine learning (ML), in healthcare and within cardiovascular medicine. The book focuses on emphasizing ML for biomedical applications and provides a comprehensive summary of the past and present of AI, basics of ML, and clinical applications of ML within cardiovascular medicine for predictive analytics and precision medicine. It helps readers understand how ML works along with its limitations and strengths, such that they can could harness its computational power to streamline workflow and improve patient care. It is suitable for both clinicians and engineers; providing a template for clinicians to understand areas of application of machine learning within cardiovascular research; and assist computer scientists and engineers in evaluating current and future impact of machine learning on cardiovascular medicine. Provides an overview of machine learning, both for a clinical and engineering audience Summarize recent advances in both cardiovascular medicine and artificial intelligence Discusses the advantages of using machine learning for outcomes research and image processing Addresses the ever-expanding application of this novel technology and discusses some of the unique challenges associated with such an approach

2017 International Conference on Intelligent Computing and Control Systems (ICICCS)

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Publisher :
ISBN 13 : 9781538639016
Total Pages : pages
Book Rating : 4.6/5 (39 download)

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Book Synopsis 2017 International Conference on Intelligent Computing and Control Systems (ICICCS) by : IEEE Staff

Download or read book 2017 International Conference on Intelligent Computing and Control Systems (ICICCS) written by IEEE Staff and published by . This book was released on 2017-06-15 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: ICICCS 2017 will provide an outstanding international forum for scientists from all over the world to share ideas and achievements in the theory and practice of all areas of inventive systems which includes control, artificial intelligence, automation systems, computing systems, electronics systems, electrical and informative systems etc Presentations should highlight computing methodologies as a concept that combines theoretical research and applications in automation, information and computing technologies All aspects of intelligent computing and control systems are of interest theory, algorithms, tools, applications, etc

Artificial Intelligence in Healthcare

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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

Hypertension and Heart Failure

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Publisher : Springer
ISBN 13 : 3319933205
Total Pages : 408 pages
Book Rating : 4.3/5 (199 download)

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Book Synopsis Hypertension and Heart Failure by : Maria Dorobantu

Download or read book Hypertension and Heart Failure written by Maria Dorobantu and published by Springer. This book was released on 2019-03-30 with total page 408 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explains how hypertension affects 20-50% of the adult population in developed countries. Heart failure is the result of the hypertension's effects on the heart and it represents a growing public health problem. In this context the international scientific community is continuously struggling to develop better strategies in screening, diagnosing and treating hypertension and its deleterious effects. Thus, this field is continuously changing, with new important information being added constantly. This volume will offer both insights into the intimate mechanisms of transition from hypertension to heart failure and clinical practice advice on the prevention and treatment of heart failure in hypertensive population. The mechanisms which explain the progression from hypertension to heart failure will be also covered exhaustively by offering two chapters referring to the diagnosis of heart failure in hypertensive population and one regarding echocardiography which is the most frequently used imaging method in clinical practice. The reader will be also provided with information on cardiovascular magnetic resonance which has the unique advantage of differentiating hypertensive heart failure from other pathologies associated with increased myocardial thickness. This book is a useful tool for clinicians but also to the research community interested in heart failure and consequences of hypertension on heart who want to be up-to-date with the new developments in the field.

Mobile Technology for Adaptive Aging

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Publisher : National Academies Press
ISBN 13 : 0309680867
Total Pages : 147 pages
Book Rating : 4.3/5 (96 download)

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Book Synopsis Mobile Technology for Adaptive Aging by : National Academies of Sciences, Engineering, and Medicine

Download or read book Mobile Technology for Adaptive Aging written by National Academies of Sciences, Engineering, and Medicine and published by National Academies Press. This book was released on 2020-10-25 with total page 147 pages. Available in PDF, EPUB and Kindle. Book excerpt: To explore how mobile technology can be employed to enhance the lives of older adults, the Board on Behavioral, Cognitive, and Sensory Sciences of the National Academies of Sciences, Engineering, and Medicine commissioned 6 papers, which were presented at a workshop held on December 11 and 12, 2019. These papers review research on mobile technologies and aging, and highlight promising avenues for further research.

Emerging ICT for Bridging the Future - Proceedings of the 49th Annual Convention of the Computer Society of India (CSI) Volume 1

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Publisher : Springer
ISBN 13 : 331913728X
Total Pages : 656 pages
Book Rating : 4.3/5 (191 download)

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Book Synopsis Emerging ICT for Bridging the Future - Proceedings of the 49th Annual Convention of the Computer Society of India (CSI) Volume 1 by : Suresh Chandra Satapathy

Download or read book Emerging ICT for Bridging the Future - Proceedings of the 49th Annual Convention of the Computer Society of India (CSI) Volume 1 written by Suresh Chandra Satapathy and published by Springer. This book was released on 2014-11-30 with total page 656 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains 73 papers presented at CSI 2014: Emerging ICT for Bridging the Future: Proceedings of the 49th Annual Convention of Computer Society of India. The convention was held during 12-14, December, 2014 at Hyderabad, Telangana, India. This volume contains papers mainly focused on Fuzzy Systems, Image Processing, Software Engineering, Cyber Security and Digital Forensic, E-Commerce, Big Data, Cloud Computing and ICT applications.

Advanced Machine Learning Technologies and Applications

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Publisher : Springer Nature
ISBN 13 : 9811533830
Total Pages : 737 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Advanced Machine Learning Technologies and Applications by : Aboul Ella Hassanien

Download or read book Advanced Machine Learning Technologies and Applications written by Aboul Ella Hassanien and published by Springer Nature. This book was released on 2020-05-25 with total page 737 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the refereed proceedings of the 5th International Conference on Advanced Machine Learning Technologies and Applications (AMLTA 2020), held at Manipal University Jaipur, India, on February 13 – 15, 2020, and organized in collaboration with the Scientific Research Group in Egypt (SRGE). The papers cover current research in machine learning, big data, Internet of Things, biomedical engineering, fuzzy logic and security, as well as intelligence swarms and optimization.

Data Science and Artificial Intelligence for Digital Healthcare

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Publisher : Springer Nature
ISBN 13 : 3031568184
Total Pages : 284 pages
Book Rating : 4.0/5 (315 download)

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Book Synopsis Data Science and Artificial Intelligence for Digital Healthcare by : Pradeep Kumar Singh

Download or read book Data Science and Artificial Intelligence for Digital Healthcare written by Pradeep Kumar Singh and published by Springer Nature. This book was released on with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Artificial Intelligence and Data Science

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Publisher : Springer Nature
ISBN 13 : 3031213858
Total Pages : 553 pages
Book Rating : 4.0/5 (312 download)

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Book Synopsis Artificial Intelligence and Data Science by : Ashwani Kumar

Download or read book Artificial Intelligence and Data Science written by Ashwani Kumar and published by Springer Nature. This book was released on 2022-12-13 with total page 553 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes selected papers presented at the First International Conference on Artificial Intelligence and Data Science, ICAIDS 2021, held in Hyderabad, India, in December 2021. The 43 papers presented in this volume were thoroughly reviewed and selected from the 195 submissions. They focus on topics of artificial intelligence for intelligent applications and data science for emerging technologies.

Data Science, AI, and Machine Learning in Drug Development

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Publisher : CRC Press
ISBN 13 : 100065267X
Total Pages : 335 pages
Book Rating : 4.0/5 (6 download)

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Book Synopsis Data Science, AI, and Machine Learning in Drug Development by : Harry Yang

Download or read book Data Science, AI, and Machine Learning in Drug Development written by Harry Yang and published by CRC Press. This book was released on 2022-10-04 with total page 335 pages. Available in PDF, EPUB and Kindle. Book excerpt: The confluence of big data, artificial intelligence (AI), and machine learning (ML) has led to a paradigm shift in how innovative medicines are developed and healthcare delivered. To fully capitalize on these technological advances, it is essential to systematically harness data from diverse sources and leverage digital technologies and advanced analytics to enable data-driven decisions. Data science stands at a unique moment of opportunity to lead such a transformative change. Intended to be a single source of information, Data Science, AI, and Machine Learning in Drug Research and Development covers a wide range of topics on the changing landscape of drug R & D, emerging applications of big data, AI and ML in drug development, and the build of robust data science organizations to drive biopharmaceutical digital transformations. Features Provides a comprehensive review of challenges and opportunities as related to the applications of big data, AI, and ML in the entire spectrum of drug R & D Discusses regulatory developments in leveraging big data and advanced analytics in drug review and approval Offers a balanced approach to data science organization build Presents real-world examples of AI-powered solutions to a host of issues in the lifecycle of drug development Affords sufficient context for each problem and provides a detailed description of solutions suitable for practitioners with limited data science expertise

Machine Intelligence and Data Analytics for Sustainable Future Smart Cities

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Publisher : Springer Nature
ISBN 13 : 3030720659
Total Pages : 411 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Machine Intelligence and Data Analytics for Sustainable Future Smart Cities by : Uttam Ghosh

Download or read book Machine Intelligence and Data Analytics for Sustainable Future Smart Cities written by Uttam Ghosh and published by Springer Nature. This book was released on 2021-05-31 with total page 411 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the latest advances in computational intelligence and data analytics for sustainable future smart cities. It focuses on computational intelligence and data analytics to bring together the smart city and sustainable city endeavors. It also discusses new models, practical solutions and technological advances related to the development and the transformation of cities through machine intelligence and big data models and techniques. This book is helpful for students and researchers as well as practitioners.

Big data analytics to advance stroke and cerebrovascular disease: A tool to bridge translational and clinical research

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Author :
Publisher : Frontiers Media SA
ISBN 13 : 2832539084
Total Pages : 320 pages
Book Rating : 4.8/5 (325 download)

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Book Synopsis Big data analytics to advance stroke and cerebrovascular disease: A tool to bridge translational and clinical research by : Alexis Netis Simpkins

Download or read book Big data analytics to advance stroke and cerebrovascular disease: A tool to bridge translational and clinical research written by Alexis Netis Simpkins and published by Frontiers Media SA. This book was released on 2023-12-26 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Accelerated Path to Cures

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Publisher :
ISBN 13 : 9783319732398
Total Pages : pages
Book Rating : 4.7/5 (323 download)

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Book Synopsis Accelerated Path to Cures by : Josep Bassaganya-Riera

Download or read book Accelerated Path to Cures written by Josep Bassaganya-Riera and published by . This book was released on 2018 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Accelerated Path to Cures provides a transformative perspective on the power of combining advanced computational technologies, modeling, bioinformatics and machine learning approaches with nonclinical and clinical experimentation to accelerate drug development. This book discusses the application of advanced modeling technologies, from target identification and validation to nonclinical studies in animals to Phase 1-3 human clinical trials and post-approval monitoring, as alternative models of drug development. As a case of successful integration of computational modeling and drug development, we discuss the development of oral small molecule therapeutics for inflammatory bowel disease, from the application of docking studies to screening new chemical entities to the development of next-generation in silico human clinical trials from large-scale clinical data. Additionally, this book illustrates how modeling techniques, machine learning, and informatics can be utilized effectively at each stage of drug development to advance the progress towards predictive, preventive, personalized, precision medicine, and thus provide a successful framework for Path to Cures.