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Machine Learning In Cardiovascular Medicine

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Machine Learning in Cardiovascular Medicine

Machine Learning in Cardiovascular Medicine Book
Author : Subhi J. Al'Aref,Gurpreet Singh,Lohendran Baskaran,Dimitri Metaxas
Publisher : Academic Press
Release : 2020-11-20
ISBN : 0128202742
Language : En, Es, Fr & De

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Book Description :

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

Machine Learning and Systems Biology in Genomics and Health

Machine Learning and Systems Biology in Genomics and Health Book
Author : Shailza Singh
Publisher : Springer Nature
Release : 2022
ISBN : 9811659931
Language : En, Es, Fr & De

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Book Description :

This book discusses the application of machine learning in genomics. Machine Learning offers ample opportunities for Big Data to be assimilated and comprehended effectively using different frameworks. Stratification, diagnosis, classification and survival predictions encompass the different health care regimes representing unique challenges for data pre-processing, model training, refinement of the systems with clinical implications. The book discusses different models for in-depth analysis of different conditions. Machine Learning techniques have revolutionized genomic analysis. Different chapters of the book describe the role of Artificial Intelligence in clinical and genomic diagnostics. It discusses how systems biology is exploited in identifying the genetic markers for drug discovery and disease identification. Myriad number of diseases whether be infectious, metabolic, cancer can be dealt in effectively which combines the different omics data for precision medicine. Major breakthroughs in the field would help reflect more new innovations which are at their pinnacle stage. This book is useful for researchers in the fields of genomics, genetics, computational biology and bioinformatics.

Biomedical and Business Applications Using Artificial Neural Networks and Machine Learning

Biomedical and Business Applications Using Artificial Neural Networks and Machine Learning Book
Author : Segall, Richard S.,Niu, Gao
Publisher : IGI Global
Release : 2022-01-07
ISBN : 1799884570
Language : En, Es, Fr & De

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Book Description :

During these uncertain and turbulent times, intelligent technologies including artificial neural networks (ANN) and machine learning (ML) have played an incredible role in being able to predict, analyze, and navigate unprecedented circumstances across a number of industries, ranging from healthcare to hospitality. Multi-factor prediction in particular has been especially helpful in dealing with the most current pressing issues such as COVID-19 prediction, pneumonia detection, cardiovascular diagnosis and disease management, automobile accident prediction, and vacation rental listing analysis. To date, there has not been much research content readily available in these areas, especially content written extensively from a user perspective. Biomedical and Business Applications Using Artificial Neural Networks and Machine Learning is designed to cover a brief and focused range of essential topics in the field with perspectives, models, and first-hand experiences shared by prominent researchers, discussing applications of artificial neural networks (ANN) and machine learning (ML) for biomedical and business applications and a listing of current open-source software for neural networks, machine learning, and artificial intelligence. It also presents summaries of currently available open source software that utilize neural networks and machine learning. The book is ideal for professionals, researchers, students, and practitioners who want to more fully understand in a brief and concise format the realm and technologies of artificial neural networks (ANN) and machine learning (ML) and how they have been used for prediction of multi-disciplinary research problems in a multitude of disciplines.

Machine Learning Big Data and IoT for Medical Informatics

Machine Learning  Big Data  and IoT for Medical Informatics Book
Author : Pardeep Kumar,Yugal Kumar,Mohamed A. Tawhid
Publisher : Academic Press
Release : 2021-06-13
ISBN : 0128217812
Language : En, Es, Fr & De

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Book Description :

Machine Learning, Big Data, and IoT for Medical Informatics focuses on the latest techniques adopted in the field of medical informatics. In medical informatics, machine learning, big data, and IOT-based techniques play a significant role in disease diagnosis and its prediction. In the medical field, the structure of data is equally important for accurate predictive analytics due to heterogeneity of data such as ECG data, X-ray data, and image data. Thus, this book focuses on the usability of machine learning, big data, and IOT-based techniques in handling structured and unstructured data. It also emphasizes on the privacy preservation techniques of medical data. This volume can be used as a reference book for scientists, researchers, practitioners, and academicians working in the field of intelligent medical informatics. In addition, it can also be used as a reference book for both undergraduate and graduate courses such as medical informatics, machine learning, big data, and IoT. Explains the uses of CNN, Deep Learning and extreme machine learning concepts for the design and development of predictive diagnostic systems. Includes several privacy preservation techniques for medical data. Presents the integration of Internet of Things with predictive diagnostic systems for disease diagnosis. Offers case studies and applications relating to machine learning, big data, and health care analysis.

Deep Learning Applications in Medical Imaging

Deep Learning Applications in Medical Imaging Book
Author : Saxena, Sanjay,Paul, Sudip
Publisher : IGI Global
Release : 2020-10-16
ISBN : 1799850722
Language : En, Es, Fr & De

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Book Description :

Before the modern age of medicine, the chance of surviving a terminal disease such as cancer was minimal at best. After embracing the age of computer-aided medical analysis technologies, however, detecting and preventing individuals from contracting a variety of life-threatening diseases has led to a greater survival percentage and increased the development of algorithmic technologies in healthcare. Deep Learning Applications in Medical Imaging is a pivotal reference source that provides vital research on the application of generating pictorial depictions of the interior of a body for medical intervention and clinical analysis. While highlighting topics such as artificial neural networks, disease prediction, and healthcare analysis, this publication explores image acquisition and pattern recognition as well as the methods of treatment and care. This book is ideally designed for diagnosticians, medical imaging specialists, healthcare professionals, physicians, medical researchers, academicians, and students.

Precision Medicine in Cardiovascular Disease Prevention

Precision Medicine in Cardiovascular Disease Prevention Book
Author : Seth S. Martin
Publisher : Springer Nature
Release : 2021
ISBN : 3030750558
Language : En, Es, Fr & De

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Book Description :

"This book contains the current knowledge and potential future developments of precision medicine techniques including artificial intelligence, big data, mobile health, digital health and genetic medicine in the prevention of cardiovascular disease. It reviews the presently used advanced precision medicine techniques and fundamental principles that continue to act as guiding forces for many medical professionals in applying precision and preventative medical techniques in their day-to-day practices. Precision Medicine in Cardiovascular Disease Prevention describes current knowledge and potential future developments in this rapidly expanding field. It therefore provides a valuable resource for all practicing and trainee cardiologists looking to develop their knowledge and integrate precision medicine techniques into their practices"--Publisher's description.

Epigenetics in Cardiovascular Disease

Epigenetics in Cardiovascular Disease Book
Author : Yvan Devaux,Emma Louise Robinson
Publisher : Academic Press
Release : 2021-03-06
ISBN : 012822259X
Language : En, Es, Fr & De

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Book Description :

Epigenetics in Cardiovascular Disease, a new volume in the Translational Epigenetics series, offers a comprehensive overview of the epigenetics mechanisms governing cardiovascular disease development, as well as instructions in research methods and guidance in pursing new studies. More than thirty international experts provide an (i) overview of the epigenetics mechanisms and their contribution to cardiovascular disease development, (i) high-throughput methods for RNA profiling including single-cell RNA-seq, (iii) the role of nucleic acid methylation in cardiovascular disease development, (iv) epigenetic actors as biomarkers and drug targets, (v) and the potential of epigenetics to advance personalized medicine. Here, readers will discover strategies to combat research challenges, improve quality of their epigenetic research and reproducibility of their findings. Additionally, discussion of assay and drug development for personalized healthcare pave the way for a new era of understanding in cardiovascular disease. Offers a thorough overview of role of epigenetics mechanisms in cardiovascular disease Includes guidance to improve research plans, experimental protocols design, quality and reproducibility of results in new epigenetics research Explores biomarkers and drug targets of therapeutic potential to advance personalized healthcare Features chapter contributions from a wide range of international researchers in the field

Deep Learning for Medical Decision Support Systems

Deep Learning for Medical Decision Support Systems Book
Author : Utku Kose,Omer Deperlioglu,Jafar Alzubi,Bogdan Patrut
Publisher : Springer Nature
Release : 2020-06-17
ISBN : 981156325X
Language : En, Es, Fr & De

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Book Description :

This book explores various applications of deep learning-oriented diagnosis leading to decision support, while also outlining the future face of medical decision support systems. Artificial intelligence has now become a ubiquitous aspect of modern life, and especially machine learning enjoysgreat popularity, since it offers techniques that are capable of learning from samples to solve newly encountered cases. Today, a recent form of machine learning, deep learning, is being widely used with large, complex quantities of data, because today’s problems require detailed analyses of more data. This is critical, especially in fields such as medicine. Accordingly, the objective of this book is to provide the essentials of and highlight recent applications of deep learning architectures for medical decision support systems. The target audience includes scientists, experts, MSc and PhD students, postdocs, and any readers interested in the subjectsdiscussed. The book canbe used as a reference work to support courses on artificial intelligence, machine/deep learning, medical and biomedicaleducation.

Artificial Intelligence in Cardiothoracic Imaging

Artificial Intelligence in Cardiothoracic Imaging Book
Author : Carlo N. De Cecco
Publisher : Springer Nature
Release : 2022-06-27
ISBN : 3030920879
Language : En, Es, Fr & De

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Book Description :

Download Artificial Intelligence in Cardiothoracic Imaging book written by Carlo N. De Cecco, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Machine Learning for Critical Internet of Medical Things

Machine Learning for Critical Internet of Medical Things Book
Author : Fadi Al-Turjman,Anand Nayyar
Publisher : Springer Nature
Release : 2022
ISBN : 3030809285
Language : En, Es, Fr & De

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Book Description :

This book discusses the applications, challenges, and future trends of machine learning in medical domain, including both basic and advanced topics. The book presents how machine learning is helpful in smooth conduction of administrative processes in hospitals, in treating infectious diseases, and in personalized medical treatments. The authors show how machine learning can also help make fast and more accurate disease diagnoses, easily identify patients, help in new types of therapies or treatments, model small-molecule drugs in pharmaceutical sector, and help with innovations via integrated technologies such as artificial intelligence as well as deep learning. The authors show how machine learning also improves the physicians and doctors medical capabilities to better diagnosis their patients. This book illustrates advanced, innovative techniques, frameworks, concepts, and methodologies of machine learning that will enhance the efficiency and effectiveness of the healthcare system. Provides researchers in machine and deep learning with a conceptual understanding of various methodologies of implementing the technologies in medical areas; Discusses the role machine learning and IoT play into locating different virus and diseases across the globe, such as COVID-19, Ebola, and cervical cancer; Includes fundamentals and advances in machine learning in the medical field, supported by significant case studies and practical applications.

Advances in Information and Communication

Advances in Information and Communication Book
Author : Kohei Arai
Publisher : Springer Nature
Release : 2021-04-12
ISBN : 3030731006
Language : En, Es, Fr & De

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Book Description :

This book aims to provide an international forum for scholarly researchers, practitioners and academic communities to explore the role of information and communication technologies and its applications in technical and scholarly development. The conference attracted a total of 464 submissions, of which 152 submissions (including 4 poster papers) have been selected after a double-blind review process. Academic pioneering researchers, scientists, industrial engineers and students will find this series useful to gain insight into the current research and next-generation information science and communication technologies. This book discusses the aspects of communication, data science, ambient intelligence, networking, computing, security and Internet of things, from classical to intelligent scope. The authors hope that readers find the volume interesting and valuable; it gathers chapters addressing state-of-the-art intelligent methods and techniques for solving real-world problems along with a vision of the future research.

Intelligence Based Medicine

Intelligence Based Medicine Book
Author : Anthony C. Chang
Publisher : Academic Press
Release : 2020-06-27
ISBN : 0128233389
Language : En, Es, Fr & De

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Book Description :

Intelligence-Based Medicine: Data Science, Artificial Intelligence, and Human Cognition in Clinical Medicine and Healthcare provides a multidisciplinary and comprehensive survey of artificial intelligence concepts and methodologies with real life applications in healthcare and medicine. Authored by a senior physician-data scientist, the book presents an intellectual and academic interface between the medical and the data science domains that is symmetric and balanced. The content consists of basic concepts of artificial intelligence and its real-life applications in a myriad of medical areas as well as medical and surgical subspecialties. It brings section summaries to emphasize key concepts delineated in each section; mini-topics authored by world-renowned experts in the respective key areas for their personal perspective; and a compendium of practical resources, such as glossary, references, best articles, and top companies. The goal of the book is to inspire clinicians to embrace the artificial intelligence methodologies as well as to educate data scientists about the medical ecosystem, in order to create a transformational paradigm for healthcare and medicine by using this emerging new technology. Covers a wide range of relevant topics from cloud computing, intelligent agents, to deep reinforcement learning and internet of everything Presents the concepts of artificial intelligence and its applications in an easy-to-understand format accessible to clinicians and data scientists Discusses how artificial intelligence can be utilized in a myriad of subspecialties and imagined of the future Delineates the necessary elements for successful implementation of artificial intelligence in medicine and healthcare

Image Processing for Automated Diagnosis of Cardiac Diseases

Image Processing for Automated Diagnosis of Cardiac Diseases Book
Author : Kalpana Chauhan,Rajeev Kumar Chauhan
Publisher : Academic Press
Release : 2021-07-13
ISBN : 0323850650
Language : En, Es, Fr & De

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Book Description :

Image Processing for Automated Diagnosis of Cardiac Diseases highlights current and emerging technologies for the automated diagnosis of cardiac diseases. It presents concepts and practical algorithms, including techniques for the automated diagnosis of organs in motion using image processing. This book is suitable for biomedical engineering researchers, engineers and scientists in research and development, and clinicians who want to learn more about and develop advanced concepts in image processing to overcome the challenges of automated diagnosis of heart disease. Includes advanced techniques to improve diagnostic methods for various cardiac diseases Uses methods to improve the existing diagnostic features of echocardiographic machines Develops new diagnostic features for echocardiographic machines

Digital Health An Issue of Heart Failure Clinics E Book

Digital Health  An Issue of Heart Failure Clinics  E Book Book
Author : Ragavendra R. Baliga,Dipti Itchhaporia
Publisher : Elsevier Health Sciences
Release : 2022-04-05
ISBN : 0323920209
Language : En, Es, Fr & De

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Book Description :

In this issue of Heart Failure Clinics, guest editors Drs. Ragavendra R. Baliga and Dipti Itchhaporia bring their considerable expertise to the topic of Digital Health, sometimes referred to as eHealth. Top experts in the field cover key topics in the field such as using AI to better predict/develop biomarkers; telehealth in heart failure; EHR in heart failure; artificial intelligence and mechanical circulatory support; and more. Contains 11 relevant, practice-oriented topics including devices to improve symptoms and reduce morbidity and mortality in heart failure; utilizing artificial intelligence to enhance equity in minority populations; 3-D printing in heart failure; machine learning in cardiac imaging; and more. Provides in-depth clinical reviews on digital health, offering actionable insights for clinical practice. Presents the latest information on this timely, focused topic under the leadership of experienced editors in the field. Authors synthesize and distill the latest research and practice guidelines to create clinically significant, topic-based reviews.

Predicting Heart Failure

Predicting Heart Failure Book
Author : Kishor Kumar Sadasivuni,Hassen M. Ouakad,Somaya Al-Maadeed,Huseyin C. Yalcin,Issam Bait Bahadur
Publisher : John Wiley & Sons
Release : 2022-04-05
ISBN : 1119813034
Language : En, Es, Fr & De

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Book Description :

PREDICTING HEART FAILURE Predicting Heart Failure: Invasive, Non-Invasive, Machine Learning and Artificial Intelligence Based Methods focuses on the mechanics and symptoms of heart failure and various approaches, including conventional and modern techniques to diagnose it. This book also provides a comprehensive but concise guide to all modern cardiological practice, emphasizing practical clinical management in many different contexts. Predicting Heart Failure supplies readers with trustworthy insights into all aspects of heart failure, including essential background information on clinical practice guidelines, in-depth, peer-reviewed articles, and broad coverage of this fast-moving field. Readers will also find: Discussion of the main characteristics of cardiovascular biosensors, along with their open issues for development and application Summary of the difficulties of wireless sensor communication and power transfer, and the utility of artificial intelligence in cardiology Coverage of data mining classification techniques, applied machine learning and advanced methods for estimating HF severity and diagnosing and predicting heart failure Discussion of the risks and issues associated with the remote monitoring system Assessment of the potential applications and future of implantable and wearable devices in heart failure prediction and detection Artificial intelligence in mobile monitoring technologies to provide clinicians with improved treatment options, ultimately easing access to healthcare by all patient populations. Providing the latest research data for the diagnosis and treatment of heart failure, Predicting Heart Failure: Invasive, Non-Invasive, Machine Learning and Artificial Intelligence Based Methods is an excellent resource for nurses, nurse practitioners, physician assistants, medical students, and general practitioners to gain a better understanding of bedside cardiology.

Current and Future Role of Artificial Intelligence in Cardiac Imaging

Current and Future Role of Artificial Intelligence in Cardiac Imaging Book
Author : Steffen Erhard Petersen,Karim Lekadir,Alistair A. Young,Tim Leiner
Publisher : Frontiers Media SA
Release : 2020-10-09
ISBN : 2889660583
Language : En, Es, Fr & De

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Book Description :

Download Current and Future Role of Artificial Intelligence in Cardiac Imaging book written by Steffen Erhard Petersen,Karim Lekadir,Alistair A. Young,Tim Leiner, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Big Data and Artificial Intelligence for Healthcare Applications

Big Data and Artificial Intelligence for Healthcare Applications Book
Author : Ankur Saxena,Nicolas Brault,Shazia Rashid
Publisher : CRC Press
Release : 2021-06-15
ISBN : 1000387313
Language : En, Es, Fr & De

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Book Description :

This book covers a wide range of topics on the role of Artificial Intelligence, Machine Learning, and Big Data for healthcare applications and deals with the ethical issues and concerns associated with it. This book explores the applications in different areas of healthcare and highlights the current research. "Big Data and Artificial Intelligence for Healthcare Applications" covers healthcare big data analytics, mobile health and personalized medicine, clinical trial data management and presents how Artificial Intelligence can be used for early disease diagnosis prediction and prognosis. It also offers some case studies that describes the application of Artificial Intelligence and Machine Learning in healthcare. Researchers, healthcare professionals, data scientists, systems engineers, students, programmers, clinicians, and policymakers will find this book of interest.

Advances in Cardiovascular Technology

Advances in Cardiovascular Technology Book
Author : Jamshid H. Karimov,Kiyotaka Fukamachi,Marc Gillinov
Publisher : Academic Press
Release : 2022-06-27
ISBN : 0128168625
Language : En, Es, Fr & De

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Book Description :

Advances in Cardiovascular Technology: New Devices and Concepts is a comprehensive reference for cardiovascular devices of all types. For engineers, this book provides a basic understanding of underlying pathologies and their prevalence/incidence. It also covers what devices are available, how they are clinically used, and their impact on pathophysiology. In addition, the book presents the constraints imposed on device design and manufacture by the environment in which it is used (e.g., exposure to tissues within the body, blood in particular) and the primary requirements for each specific type of device, including its durability and resistance to fatigue. For clinicians, this book contains information on primary engineering challenges, the types of devices available, their advantages and disadvantages, and the (current and emerging) tools and materials available to device designers. Covers innovative procedures and devices in cardiovascular technology Gives an overview of the state-of-the-art technology and a view to the future Features contributions from engineers, clinicians and researchers, taking an interdisciplinary view of the field

Braunwald s Heart Disease E Book

Braunwald s Heart Disease   E Book Book
Author : Peter Libby,Robert O. Bonow,Douglas L. Mann,Gordon F. Tomaselli,Deepak Bhatt,Scott D. Solomon,Eugene Braunwald
Publisher : Elsevier Health Sciences
Release : 2021-10-15
ISBN : 0323824714
Language : En, Es, Fr & De

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Book Description :

Current, comprehensive, and evidence-based Braunwald’s Heart Disease remains the most trusted reference in the field and the leading source of reliable cardiology information for practitioners and trainees worldwide. The fully updated 12th Edition continues the tradition of excellence with dependable, state-of-the-art coverage of new drugs, new guidelines, more powerful imaging modalities, and recent developments in precision medicine that continue to change and advance the practice of cardiovascular medicine. Written and edited by global experts in the field, this award-winning text is an unparalleled multimedia reference for every aspect of this complex and fast-changing area. Offers balanced, dependable content on rapidly changing clinical science, clinical and translational research, and evidence-based medicine. Includes 76 new contributing authors and 14 new chapters that cover Artificial intelligence in Cardiovascular Medicine; Wearables; Influenza, Pandemics, COVID-19, and Cardiovascular Disease; Tobacco and Nicotine Products in Cardiovascular Disease; Cardiac Amyloidosis; Impact of the Environment on Cardiovascular Health, and more. Features a new introductory chapter Cardiovascular Disease: Past, Present, and Future by Eugene Braunwald, MD, offering his unique, visionary approach to the field of cardiology. Dr. Braunwald also curates the extensive, bimonthly online updates that include "Hot Off the Press" (with links to Practice Update) and "Late-Breaking Clinical Trials". Provides cutting-edge coverage of key topics such as proteomics and metabolomics, TAVR, diabetocardiology, and cardio-oncology. Contains 1,850 high-quality illustrations, radiographic images, algorithms, and charts, and provides access to 215 videos called out with icons in the print version. Highlights the latest AHA, ACC, and ESC guidelines to clearly summarize diagnostic criteria and clinical implications. Provides tightly edited, focused content for quick, dependable reference. Flexible format options include either one or two volumes in print, as well as a searchable eBook with ongoing updates.

Modelling Congenital Heart Disease

Modelling Congenital Heart Disease Book
Author : Gianfranco Butera
Publisher : Springer Nature
Release : 2022-06-27
ISBN : 3030888924
Language : En, Es, Fr & De

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Book Description :

Download Modelling Congenital Heart Disease book written by Gianfranco Butera, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.