Nonlinear analysis and machine learning in cardiology - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Nonlinear analysis and machine learning in cardiology write by Elena Tolkacheva. This book was released on . Nonlinear analysis and machine learning in cardiology available in PDF, EPUB and Kindle.
Machine Learning in Bio-Signal Analysis and Diagnostic Imaging
Machine Learning in Bio-Signal Analysis and Diagnostic Imaging - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Machine Learning in Bio-Signal Analysis and Diagnostic Imaging write by Nilanjan Dey. This book was released on 2018-11-30. Machine Learning in Bio-Signal Analysis and Diagnostic Imaging available in PDF, EPUB and Kindle. Machine Learning in Bio-Signal Analysis and Diagnostic Imaging presents original research on the advanced analysis and classification techniques of biomedical signals and images that cover both supervised and unsupervised machine learning models, standards, algorithms, and their applications, along with the difficulties and challenges faced by healthcare professionals in analyzing biomedical signals and diagnostic images. These intelligent recommender systems are designed based on machine learning, soft computing, computer vision, artificial intelligence and data mining techniques. Classification and clustering techniques, such as PCA, SVM, techniques, Naive Bayes, Neural Network, Decision trees, and Association Rule Mining are among the approaches presented. The design of high accuracy decision support systems assists and eases the job of healthcare practitioners and suits a variety of applications. Integrating Machine Learning (ML) technology with human visual psychometrics helps to meet the demands of radiologists in improving the efficiency and quality of diagnosis in dealing with unique and complex diseases in real time by reducing human errors and allowing fast and rigorous analysis. The book's target audience includes professors and students in biomedical engineering and medical schools, researchers and engineers. - Examines a variety of machine learning techniques applied to bio-signal analysis and diagnostic imaging - Discusses various methods of using intelligent systems based on machine learning, soft computing, computer vision, artificial intelligence and data mining - Covers the most recent research on machine learning in imaging analysis and includes applications to a number of domains
Intelligence-Based Cardiology and Cardiac Surgery
Intelligence-Based Cardiology and Cardiac Surgery - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Intelligence-Based Cardiology and Cardiac Surgery write by Anthony C Chang. This book was released on 2023-09-06. Intelligence-Based Cardiology and Cardiac Surgery available in PDF, EPUB and Kindle. Intelligence-Based Cardiology and Cardiac Surgery: Artificial Intelligence and Human Cognition in Cardiovascular Medicine provides a comprehensive survey of artificial intelligence concepts and methodologies with real-life applications in cardiovascular medicine. Authored by a senior physician-data scientist, the book presents an intellectual and academic interface between the medical and data science domains. The book's content consists of basic concepts of artificial intelligence and human cognition applications in cardiology and cardiac surgery. This portfolio ranges from big data, machine and deep learning, cognitive computing and natural language processing in cardiac disease states such as heart failure, hypertension and pediatric heart care. The book narrows the knowledge and expertise chasm between the data scientists, cardiologists and cardiac surgeons, inspiring clinicians to embrace artificial intelligence methodologies, educate data scientists about the medical ecosystem, and create a transformational paradigm for healthcare and medicine. - Covers a wide range of relevant topics from real-world data, large language models, and supervised machine learning to deep reinforcement and federated learning - Presents artificial intelligence concepts and their applications in many areas in an easy-to-understand format accessible to clinicians and data scientists - Discusses using artificial intelligence and related technologies with cardiology and cardiac surgery in a myriad of venues and situations - Delineates the necessary elements for successfully implementing artificial intelligence in cardiovascular medicine for improved patient outcomes - Presents the regulatory, ethical, legal, and financial issues embedded in artificial intelligence applications in cardiology
Machine Learning for Non/Less-Invasive Methods in Health Informatics
Machine Learning for Non/Less-Invasive Methods in Health Informatics - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Machine Learning for Non/Less-Invasive Methods in Health Informatics write by Kun Qian. This book was released on 2021-11-26. Machine Learning for Non/Less-Invasive Methods in Health Informatics available in PDF, EPUB and Kindle.
Nonlinear Systems
Nonlinear Systems - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Nonlinear Systems write by . This book was released on 2020-05-13. Nonlinear Systems available in PDF, EPUB and Kindle. The editors of this book have incorporated contributions from a diverse group of leading researchers in the field of nonlinear systems. To enrich the scope of the content, this book contains a valuable selection of works on fractional differential equations.The book aims to provide an overview of the current knowledge on nonlinear systems and some aspects of fractional calculus. The main subject areas are divided into two theoretical and applied sections. Nonlinear systems are useful for researchers in mathematics, applied mathematics, and physics, as well as graduate students who are studying these systems with reference to their theory and application. This book is also an ideal complement to the specific literature on engineering, biology, health science, and other applied science areas. The opportunity given by IntechOpen to offer this book under the open access system contributes to disseminating the field of nonlinear systems to a wide range of researchers.
