Heart Disease Prediction Using Machine Learning Algorithms
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| Author | : Singh, Rajiv |
| Publisher | : IGI Global |
| Total Pages | : 281 |
| Release | : 2021-03-18 |
| Genre | : Technology & Engineering |
| ISBN | : 1799833291 |
Artificial intelligence has been applied to many areas of science and technology, including the power and energy sector. Renewable energy in particular has experienced the tremendous positive impact of these developments. With the recent evolution of smart energy technologies, engineers and scientists working in this sector need an exhaustive source of current knowledge to effectively cater to the energy needs of citizens of developing countries. Computational Methodologies for Electrical and Electronics Engineers is a collection of innovative research that provides a complete insight and overview of the application of intelligent computational techniques in power and energy. Featuring research on a wide range of topics such as artificial neural networks, smart grids, and soft computing, this book is ideally designed for programmers, engineers, technicians, ecologists, entrepreneurs, researchers, academicians, and students.
| Author | : Richard N. Fogoros |
| Publisher | : John Wiley & Sons |
| Total Pages | : 388 |
| Release | : 2023-03-07 |
| Genre | : Medical |
| ISBN | : 1119855691 |
FOGOROS’ ELECTROPHYSIOLOGIC TESTING Authoritative guide to applying, performing, and interpreting electrophysiologic testing in the evaluation and treatment of cardiac arrhythmias For more than thirty years, Fogoros’ Electrophysiologic Testing has been a trusted introduction to the field of electrophysiology for anyone needing to quickly acquaint themselves with basic concepts and procedures of EP testing, especially medical students, residents, nurses, and technicians. This book also serves as a quick refresher for medical practitioners wanting to brush up on aspects of electrophysiology or fine-tune their mastery of the field. Overall, the text clarifies the role of electrophysiologic testing in the evaluation and treatment of cardiac arrhythmias. The authors provide clear summaries of complex topics, implementing a uniquely user-friendly style that makes information easy to digest and recall. They provide clear, step-by-step guidance on performing EP tests and interpreting their results, and review the latest developments in therapeutic electrophysiology. Topics covered in the 7th edition of Fogoros’ Electrophysiologic Testing include: Disorders of the heart rhythm, including the cardiac electrical system, abnormal heart rhythms, and treatment of arrhythmias The evaluation of bradycardia (the SA node, AV node, and His-Purkinje system), supraventricular tachyarrhythmias, and ventricular arrhythmias Transcatheter ablation of supraventricular tachycardias, atrial fibrillation, atrial flutter, PVCs, and ventricular tachycardia Pacing therapy for heart failure, advances in conduction system pacing, and the evaluation of syncope As with all previous editions, this updated and revised 7th edition of Fogoros’ Electrophysiologic Testing was written with the goal of demystifying electrophysiology and making it readily accessible to anyone with a professional need, including medical students, residents, nurses, and technicians.
| Author | : Joy Iong-Zong Chen |
| Publisher | : Springer Nature |
| Total Pages | : 829 |
| Release | : 2020-07-23 |
| Genre | : Technology & Engineering |
| ISBN | : 3030518590 |
This book emphasizes the emerging building block of image processing domain, which is known as capsule networks for performing deep image recognition and processing for next-generation imaging science. Recent years have witnessed the continuous development of technologies and methodologies related to image processing, analysis and 3D modeling which have been implemented in the field of computer and image vision. The significant development of these technologies has led to an efficient solution called capsule networks [CapsNet] to solve the intricate challenges in recognizing complex image poses, visual tasks, and object deformation. Moreover, the breakneck growth of computation complexities and computing efficiency has initiated the significant developments of the effective and sophisticated capsule network algorithms and artificial intelligence [AI] tools into existence. The main contribution of this book is to explain and summarize the significant state-of-the-art research advances in the areas of capsule network [CapsNet] algorithms and architectures with real-time implications in the areas of image detection, remote sensing, biomedical image analysis, computer communications, machine vision, Internet of things, and data analytics techniques.
| Author | : IEEE Staff |
| Publisher | : |
| Total Pages | : |
| Release | : 2021-08-07 |
| Genre | : |
| ISBN | : 9781665440127 |
The colloquium will provide an excellent platform for knowledge exchange between researchers, scientists, academicians and engineers working in the areas of automation, process, scientific research and analysis This event calls for local and international participation
| Author | : Rani, Geeta |
| Publisher | : IGI Global |
| Total Pages | : 586 |
| Release | : 2020-10-16 |
| Genre | : Medical |
| ISBN | : 1799827437 |
By applying data analytics techniques and machine learning algorithms to predict disease, medical practitioners can more accurately diagnose and treat patients. However, researchers face problems in identifying suitable algorithms for pre-processing, transformations, and the integration of clinical data in a single module, as well as seeking different ways to build and evaluate models. The Handbook of Research on Disease Prediction Through Data Analytics and Machine Learning is a pivotal reference source that explores the application of algorithms to making disease predictions through the identification of symptoms and information retrieval from images such as MRIs, ECGs, EEGs, etc. Highlighting a wide range of topics including clinical decision support systems, biomedical image analysis, and prediction models, this book is ideally designed for clinicians, physicians, programmers, computer engineers, IT specialists, data analysts, hospital administrators, researchers, academicians, and graduate and post-graduate students.
| Author | : Belur V. Dasarathy |
| Publisher | : |
| Total Pages | : 472 |
| Release | : 1991 |
| Genre | : Mathematics |
| ISBN | : |
| Author | : Suresh Chandra Satapathy |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 948 |
| Release | : 2011-12-14 |
| Genre | : Technology & Engineering |
| ISBN | : 3642274439 |
This volume contains the papers presented at INDIA-2012: International conference on Information system Design and Intelligent Applications held on January 5-7, 2012 in Vishakhapatnam, India. This conference was organized by Computer Society of India (CSI), Vishakhapatnam chapter well supported by Vishakhapatnam Steel, RINL, Govt of India. It contains 108 papers contributed by authors from six different countries across four continents. These research papers mainly focused on intelligent applications and various system design issues. The papers cover a wide range of topics of computer science and information technology discipline ranging from image processing, data base application, data mining, grid and cloud computing, bioinformatics among many others. The various intelligent tools like swarm intelligence, artificial intelligence, evolutionary algorithms, bio-inspired algorithms have been applied in different papers for solving various challenging IT related problems.
| Author | : Arjun Panesar |
| Publisher | : Apress |
| Total Pages | : 390 |
| Release | : 2019-02-04 |
| Genre | : Computers |
| ISBN | : 1484237994 |
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.
| Author | : Namita Gupta |
| Publisher | : John Wiley & Sons |
| Total Pages | : 576 |
| Release | : 2021-04-13 |
| Genre | : Computers |
| ISBN | : 111975058X |
The world is experiencing an unprecedented period of change and growth through all the electronic and technilogical developments and everyone on the planet has been impacted. What was once ‘science fiction’, today it is a reality. This book explores the world of many of once unthinkable advancements by explaining current technologies in great detail. Each chapter focuses on a different aspect - Machine Vision, Pattern Analysis and Image Processing - Advanced Trends in Computational Intelligence and Data Analytics - Futuristic Communication Technologies - Disruptive Technologies for Future Sustainability. The chapters include the list of topics that spans all the areas of smart intelligent systems and computing such as: Data Mining with Soft Computing, Evolutionary Computing, Quantum Computing, Expert Systems, Next Generation Communication, Blockchain and Trust Management, Intelligent Biometrics, Multi-Valued Logical Systems, Cloud Computing and security etc. An extensive list of bibliographic references at the end of each chapter guides the reader to probe further into application area of interest to him/her.
| Author | : Rajendra Prasad Mahapatra |
| Publisher | : Springer |
| Total Pages | : 837 |
| Release | : 2022-01-16 |
| Genre | : Technology & Engineering |
| ISBN | : 9789811671173 |
This book is a collection of high-quality peer-reviewed research papers presented at International Conference on Recent Trends in Computing (ICRTC 2021) held at SRM Institute of Science and Technology, Ghaziabad, Delhi, India, during 4 – 5 June 2021. The book discusses a wide variety of industrial, engineering and scientific applications of the emerging techniques. The book presents original works from researchers from academic and industry in the field of networking, security, big data and the Internet of things.
