Analysis Of Medical Modalities For Improved Diagnosis In Modern Healthcare

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Analysis of Medical Modalities for Improved Diagnosis in Modern Healthcare

Author : Varun Bajaj
Publisher : CRC Press
ISBN 13 : 1000400220
Total Pages : 344 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Analysis of Medical Modalities for Improved Diagnosis in Modern Healthcare by : Varun Bajaj

Download or read book Analysis of Medical Modalities for Improved Diagnosis in Modern Healthcare written by Varun Bajaj and published by CRC Press. This book was released on 2021-08-11 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt: In modern healthcare, various medical modalities play an important role in improving the diagnostic performance in healthcare systems for various applications, such as prosthesis design, surgical implant design, diagnosis and prognosis, and detection of abnormalities in the treatment of various diseases. Analysis of Medical Modalities for Improved Diagnosis in Modern Healthcare discusses the uses of analysis, modeling, and manipulation of modalities, such as EEG, ECG, EMG, PCG, EOG, MRI, and FMRI, for an automatic identification, classification, and diagnosis of different types of disorders and physiological states. The analysis and applications for post-processing and diagnosis are much-needed topics for researchers and faculty members all across the world in the field of automated and efficient diagnosis using medical modalities. To meet this need, this book emphasizes real-time challenges in medical modalities for a variety of applications for analysis, classification, identification, and diagnostic processes of healthcare systems. Each chapter starts with the introduction, need and motivation of the medical modality, and a number of applications for the identification and improvement of healthcare systems. The chapters can be read independently or consecutively by research scholars, graduate students, faculty members, and practicing scientists who wish to explore various disciplines of healthcare systems, such as computer sciences, medical sciences, and biomedical engineering. This book aims to improve the direction of future research and strengthen research efforts of healthcare systems through analysis of behavior, concepts, principles, and case studies. This book also aims to overcome the gap between usage of medical modalities and healthcare systems. Several novel applications of medical modalities have been unlocked in recent years, therefore new applications, challenges, and solutions for healthcare systems are the focus of this book.

Improving Diagnosis in Health Care

Author : National Academies of Sciences, Engineering, and Medicine
Publisher : National Academies Press
ISBN 13 : 0309377692
Total Pages : 473 pages
Book Rating : 4.3/5 (93 download)

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Book Synopsis Improving Diagnosis in Health Care by : National Academies of Sciences, Engineering, and Medicine

Download or read book Improving Diagnosis in Health Care written by National Academies of Sciences, Engineering, and Medicine and published by National Academies Press. This book was released on 2016-01-29 with total page 473 pages. Available in PDF, EPUB and Kindle. Book excerpt: Getting the right diagnosis is a key aspect of health care - it provides an explanation of a patient's health problem and informs subsequent health care decisions. The diagnostic process is a complex, collaborative activity that involves clinical reasoning and information gathering to determine a patient's health problem. According to Improving Diagnosis in Health Care, diagnostic errors-inaccurate or delayed diagnoses-persist throughout all settings of care and continue to harm an unacceptable number of patients. It is likely that most people will experience at least one diagnostic error in their lifetime, sometimes with devastating consequences. Diagnostic errors may cause harm to patients by preventing or delaying appropriate treatment, providing unnecessary or harmful treatment, or resulting in psychological or financial repercussions. The committee concluded that improving the diagnostic process is not only possible, but also represents a moral, professional, and public health imperative. Improving Diagnosis in Health Care, a continuation of the landmark Institute of Medicine reports To Err Is Human (2000) and Crossing the Quality Chasm (2001), finds that diagnosis-and, in particular, the occurrence of diagnostic errorsâ€"has been largely unappreciated in efforts to improve the quality and safety of health care. Without a dedicated focus on improving diagnosis, diagnostic errors will likely worsen as the delivery of health care and the diagnostic process continue to increase in complexity. Just as the diagnostic process is a collaborative activity, improving diagnosis will require collaboration and a widespread commitment to change among health care professionals, health care organizations, patients and their families, researchers, and policy makers. The recommendations of Improving Diagnosis in Health Care contribute to the growing momentum for change in this crucial area of health care quality and safety.

IOT with Smart Systems

Author : Tomonobu Senjyu
Publisher : Springer Nature
ISBN 13 : 9811639450
Total Pages : 804 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis IOT with Smart Systems by : Tomonobu Senjyu

Download or read book IOT with Smart Systems written by Tomonobu Senjyu and published by Springer Nature. This book was released on 2022-01-05 with total page 804 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers papers addressing state-of-the-art research in all areas of information and communication technologies and their applications in intelligent computing, cloud storage, data mining and software analysis. It presents the outcomes of the Fifth International Conference on Information and Communication Technology for Intelligent Systems (ICTIS 2021), held in Ahmedabad, India. The book is divided into two volumes. It discusses the fundamentals of various data analysis techniques and algorithms, making it a valuable resource for researchers and practitioners alike.

Medical Image Processing for Improved Clinical Diagnosis

Author : Swarnambiga, A.
Publisher : IGI Global
ISBN 13 : 1522558772
Total Pages : 313 pages
Book Rating : 4.5/5 (225 download)

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Book Synopsis Medical Image Processing for Improved Clinical Diagnosis by : Swarnambiga, A.

Download or read book Medical Image Processing for Improved Clinical Diagnosis written by Swarnambiga, A. and published by IGI Global. This book was released on 2018-08-31 with total page 313 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the medical field, there is a constant need to improve professionals’ abilities to provide prompt and accurate diagnoses. The use of image and pattern recognizing software may provide support to medical professionals and enhance their abilities to properly identify medical issues. Medical Image Processing for Improved Clinical Diagnosis provides emerging research exploring the theoretical and practical aspects of computer-based imaging and applications within healthcare and medicine. Featuring coverage on a broad range of topics such as biomedical imaging, pattern recognition, and medical diagnosis, this book is ideally designed for medical practitioners, students, researchers, and others in the medical and engineering fields seeking current research on the use of images to enhance the accuracy of medical prognosis.

Machine Learning and Deep Learning Techniques for Medical Science

Author : K. Gayathri Devi
Publisher : CRC Press
ISBN 13 : 1000582523
Total Pages : 413 pages
Book Rating : 4.0/5 (5 download)

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Book Synopsis Machine Learning and Deep Learning Techniques for Medical Science by : K. Gayathri Devi

Download or read book Machine Learning and Deep Learning Techniques for Medical Science written by K. Gayathri Devi and published by CRC Press. This book was released on 2022-05-11 with total page 413 pages. Available in PDF, EPUB and Kindle. Book excerpt: The application of machine learning is growing exponentially into every branch of business and science, including medical science. This book presents the integration of machine learning (ML) and deep learning (DL) algorithms that can be applied in the healthcare sector to reduce the time required by doctors, radiologists, and other medical professionals for analyzing, predicting, and diagnosing the conditions with accurate results. The book offers important key aspects in the development and implementation of ML and DL approaches toward developing prediction tools and models and improving medical diagnosis. The contributors explore the recent trends, innovations, challenges, and solutions, as well as case studies of the applications of ML and DL in intelligent system-based disease diagnosis. The chapters also highlight the basics and the need for applying mathematical aspects with reference to the development of new medical models. Authors also explore ML and DL in relation to artificial intelligence (AI) prediction tools, the discovery of drugs, neuroscience, diagnosis in multiple imaging modalities, and pattern recognition approaches to functional magnetic resonance imaging images. This book is for students and researchers of computer science and engineering, electronics and communication engineering, and information technology; for biomedical engineering researchers, academicians, and educators; and for students and professionals in other areas of the healthcare sector. Presents key aspects in the development and the implementation of ML and DL approaches toward developing prediction tools, models, and improving medical diagnosis Discusses the recent trends, innovations, challenges, solutions, and applications of intelligent system-based disease diagnosis Examines DL theories, models, and tools to enhance health information systems Explores ML and DL in relation to AI prediction tools, discovery of drugs, neuroscience, and diagnosis in multiple imaging modalities Dr. K. Gayathri Devi is a Professor at the Department of Electronics and Communication Engineering, Dr. N.G.P Institute of Technology, Tamil Nadu, India. Dr. Kishore Balasubramanian is an Assistant Professor (Senior Scale) at the Department of EEE at Dr. Mahalingam College of Engineering & Technology, Tamil Nadu, India. Dr. Le Anh Ngoc is a Director of Swinburne Innovation Space and Professor in Swinburne University of Technology (Vietnam).

Natural Language Processing In Healthcare

Author : Satya Ranjan Dash
Publisher : CRC Press
ISBN 13 : 1000624684
Total Pages : 261 pages
Book Rating : 4.0/5 (6 download)

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Book Synopsis Natural Language Processing In Healthcare by : Satya Ranjan Dash

Download or read book Natural Language Processing In Healthcare written by Satya Ranjan Dash and published by CRC Press. This book was released on 2022-09-13 with total page 261 pages. Available in PDF, EPUB and Kindle. Book excerpt: Natural Language Processing In Healthcare: A Special Focus on Low Resource Languages covers the theoretical and practical aspects as well as ethical and social implications of NLP in healthcare. It showcases the latest research and developments contributing to the rising awareness and importance of maintaining linguistic diversity. The book goes on to present current advances and scenarios based on solutions in healthcare and low resource languages and identifies the major challenges and opportunities that will impact NLP in clinical practice and health studies.

Fatigue: Physiology and Pathology

Author : Slawomir Kujawski
Publisher : Frontiers Media SA
ISBN 13 : 2832544711
Total Pages : 109 pages
Book Rating : 4.8/5 (325 download)

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Book Synopsis Fatigue: Physiology and Pathology by : Slawomir Kujawski

Download or read book Fatigue: Physiology and Pathology written by Slawomir Kujawski and published by Frontiers Media SA. This book was released on 2024-02-15 with total page 109 pages. Available in PDF, EPUB and Kindle. Book excerpt: In 1917, the president of the American Psychological Association at that time, Raymond Dodge, wrote “I have no expectation that the laws of mental fatigue will be formulated in the immediate future”. Remarkably, despite continuous efforts over a period of more than 100 years, a mature theory of the origins and neural mechanisms of mental fatigue has yet to be achieved. Physical fatigue is defined as “the transient inability of muscles to maintain optimal physical performance, and is made more severe by intense physical exercise”. Mental fatigue could be phrased as “a transient decrease in maximal cognitive performance resulting from prolonged periods of cognitive activity”. Currently, the mechanism underlying mental fatigue is still yet to be discovered. Chronic fatigue is one of the symptoms that may occur in numerous chronic disorders, such as hypertension, multiple sclerosis, fibromyalgia, and heart fail. Currently, there is no cure for ME/CFS. Chronic fatigue seems to be a relatively common, yet undertreated symptom. Presumably, increasing knowledge of physiological mechanisms underlying fatigue might potentially lead to an improvement in the efficacy of therapy for various disorders. Therefore, the goal of the current Research Topic is to collect papers on both physiology of fatigue as well as mechanism underlying pathologies, as ME/CFS. Also, papers on clinical trials involving subjects with chronic fatigue, or patients with ME/CFS are welcomed.

Medical Imaging Informatics

Author : Alex A.T. Bui
Publisher : Springer Science & Business Media
ISBN 13 : 1441903852
Total Pages : 454 pages
Book Rating : 4.4/5 (419 download)

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Book Synopsis Medical Imaging Informatics by : Alex A.T. Bui

Download or read book Medical Imaging Informatics written by Alex A.T. Bui and published by Springer Science & Business Media. This book was released on 2009-12-01 with total page 454 pages. Available in PDF, EPUB and Kindle. Book excerpt: Medical Imaging Informatics provides an overview of this growing discipline, which stems from an intersection of biomedical informatics, medical imaging, computer science and medicine. Supporting two complementary views, this volume explores the fundamental technologies and algorithms that comprise this field, as well as the application of medical imaging informatics to subsequently improve healthcare research. Clearly written in a four part structure, this introduction follows natural healthcare processes, illustrating the roles of data collection and standardization, context extraction and modeling, and medical decision making tools and applications. Medical Imaging Informatics identifies core concepts within the field, explores research challenges that drive development, and includes current state-of-the-art methods and strategies.

Engineering a Learning Healthcare System

Author : National Academy of Engineering
Publisher : National Academies Press
ISBN 13 : 0309224772
Total Pages : 340 pages
Book Rating : 4.3/5 (92 download)

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Book Synopsis Engineering a Learning Healthcare System by : National Academy of Engineering

Download or read book Engineering a Learning Healthcare System written by National Academy of Engineering and published by National Academies Press. This book was released on 2011-06-14 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: Improving our nation's healthcare system is a challenge which, because of its scale and complexity, requires a creative approach and input from many different fields of expertise. Lessons from engineering have the potential to improve both the efficiency and quality of healthcare delivery. The fundamental notion of a high-performing healthcare system-one that increasingly is more effective, more efficient, safer, and higher quality-is rooted in continuous improvement principles that medicine shares with engineering. As part of its Learning Health System series of workshops, the Institute of Medicine's Roundtable on Value and Science-Driven Health Care and the National Academy of Engineering, hosted a workshop on lessons from systems and operations engineering that could be applied to health care. Building on previous work done in this area the workshop convened leading engineering practitioners, health professionals, and scholars to explore how the field might learn from and apply systems engineering principles in the design of a learning healthcare system. Engineering a Learning Healthcare System: A Look at the Future: Workshop Summary focuses on current major healthcare system challenges and what the field of engineering has to offer in the redesign of the system toward a learning healthcare system.

Deep Learning for Smart Healthcare

Author : K. Murugeswari
Publisher : CRC Press
ISBN 13 : 1040021379
Total Pages : 309 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Deep Learning for Smart Healthcare by : K. Murugeswari

Download or read book Deep Learning for Smart Healthcare written by K. Murugeswari and published by CRC Press. This book was released on 2024-05-15 with total page 309 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deep learning can provide more accurate results compared to machine learning. It uses layered algorithmic architecture to analyze data. It produces more accurate results since learning from previous results enhances its ability. The multi-layered nature of deep learning systems has the potential to classify subtle abnormalities in medical images, clustering patients with similar characteristics into risk-based cohorts, or highlighting relationships between symptoms and outcomes within vast quantities of unstructured data. Exploring this potential, Deep Learning for Smart Healthcare: Trends, Challenges and Applications is a reference work for researchers and academicians who are seeking new ways to apply deep learning algorithms in healthcare, including medical imaging and healthcare data analytics. It covers how deep learning can analyze a patient’s medical history efficiently to aid in recommending drugs and dosages. It discusses how deep learning can be applied to CT scans, MRI scans and ECGs to diagnose diseases. Other deep learning applications explored are extending the scope of patient record management, pain assessment, new drug design and managing the clinical trial process. Bringing together a wide range of research domains, this book can help to develop breakthrough applications for improving healthcare management and patient outcomes.

Evidence-Based Medicine and the Changing Nature of Health Care

Author : Institute of Medicine
Publisher : National Academies Press
ISBN 13 : 0309113695
Total Pages : 202 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Evidence-Based Medicine and the Changing Nature of Health Care by : Institute of Medicine

Download or read book Evidence-Based Medicine and the Changing Nature of Health Care written by Institute of Medicine and published by National Academies Press. This book was released on 2008-09-06 with total page 202 pages. Available in PDF, EPUB and Kindle. Book excerpt: Drawing on the work of the Roundtable on Evidence-Based Medicine, the 2007 IOM Annual Meeting assessed some of the rapidly occurring changes in health care related to new diagnostic and treatment tools, emerging genetic insights, the developments in information technology, and healthcare costs, and discussed the need for a stronger focus on evidence to ensure that the promise of scientific discovery and technological innovation is efficiently captured to provide the right care for the right patient at the right time. As new discoveries continue to expand the universe of medical interventions, treatments, and methods of care, the need for a more systematic approach to evidence development and application becomes increasingly critical. Without better information about the effectiveness of different treatment options, the resulting uncertainty can lead to the delivery of services that may be unnecessary, unproven, or even harmful. Improving the evidence-base for medicine holds great potential to increase the quality and efficiency of medical care. The Annual Meeting, held on October 8, 2007, brought together many of the nation's leading authorities on various aspects of the issues - both challenges and opportunities - to present their perspectives and engage in discussion with the IOM membership.

Medical Imaging and Health Informatics

Author : Tushar H. Jaware
Publisher : John Wiley & Sons
ISBN 13 : 1119819148
Total Pages : 388 pages
Book Rating : 4.1/5 (198 download)

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Book Synopsis Medical Imaging and Health Informatics by : Tushar H. Jaware

Download or read book Medical Imaging and Health Informatics written by Tushar H. Jaware and published by John Wiley & Sons. This book was released on 2022-05-26 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: MEDICAL IMAGING AND HEALTH INFORMATICS Provides a comprehensive review of artificial intelligence (AI) in medical imaging as well as practical recommendations for the usage of machine learning (ML) and deep learning (DL) techniques for clinical applications. Medical imaging and health informatics is a subfield of science and engineering which applies informatics to medicine and includes the study of design, development, and application of computational innovations to improve healthcare. The health domain has a wide range of challenges that can be addressed using computational approaches; therefore, the use of AI and associated technologies is becoming more common in society and healthcare. Currently, deep learning algorithms are a promising option for automated disease detection with high accuracy. Clinical data analysis employing these deep learning algorithms allows physicians to detect diseases earlier and treat patients more efficiently. Since these technologies have the potential to transform many aspects of patient care, disease detection, disease progression and pharmaceutical organization, approaches such as deep learning algorithms, convolutional neural networks, and image processing techniques are explored in this book. This book also delves into a wide range of image segmentation, classification, registration, computer-aided analysis applications, methodologies, algorithms, platforms, and tools; and gives a holistic approach to the application of AI in healthcare through case studies and innovative applications. It also shows how image processing, machine learning and deep learning techniques can be applied for medical diagnostics in several specific health scenarios such as COVID-19, lung cancer, cardiovascular diseases, breast cancer, liver tumor, bone fractures, etc. Also highlighted are the significant issues and concerns regarding the use of AI in healthcare together with other allied areas, such as the Internet of Things (IoT) and medical informatics, to construct a global multidisciplinary forum. Audience The core audience comprises researchers and industry engineers, scientists, radiologists, healthcare professionals, data scientists who work in health informatics, computer vision and medical image analysis.

The Fourth Industrial Revolution

Author : Klaus Schwab
Publisher : Currency
ISBN 13 : 1524758868
Total Pages : 194 pages
Book Rating : 4.5/5 (247 download)

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Book Synopsis The Fourth Industrial Revolution by : Klaus Schwab

Download or read book The Fourth Industrial Revolution written by Klaus Schwab and published by Currency. This book was released on 2017-01-03 with total page 194 pages. Available in PDF, EPUB and Kindle. Book excerpt: World-renowned economist Klaus Schwab, Founder and Executive Chairman of the World Economic Forum, explains that we have an opportunity to shape the fourth industrial revolution, which will fundamentally alter how we live and work. Schwab argues that this revolution is different in scale, scope and complexity from any that have come before. Characterized by a range of new technologies that are fusing the physical, digital and biological worlds, the developments are affecting all disciplines, economies, industries and governments, and even challenging ideas about what it means to be human. Artificial intelligence is already all around us, from supercomputers, drones and virtual assistants to 3D printing, DNA sequencing, smart thermostats, wearable sensors and microchips smaller than a grain of sand. But this is just the beginning: nanomaterials 200 times stronger than steel and a million times thinner than a strand of hair and the first transplant of a 3D printed liver are already in development. Imagine “smart factories” in which global systems of manufacturing are coordinated virtually, or implantable mobile phones made of biosynthetic materials. The fourth industrial revolution, says Schwab, is more significant, and its ramifications more profound, than in any prior period of human history. He outlines the key technologies driving this revolution and discusses the major impacts expected on government, business, civil society and individuals. Schwab also offers bold ideas on how to harness these changes and shape a better future—one in which technology empowers people rather than replaces them; progress serves society rather than disrupts it; and in which innovators respect moral and ethical boundaries rather than cross them. We all have the opportunity to contribute to developing new frameworks that advance progress.

Machine Learning in Healthcare

Author : Bikesh Kumar Singh
Publisher : CRC Press
ISBN 13 : 1000540405
Total Pages : 248 pages
Book Rating : 4.0/5 (5 download)

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Book Synopsis Machine Learning in Healthcare by : Bikesh Kumar Singh

Download or read book Machine Learning in Healthcare written by Bikesh Kumar Singh and published by CRC Press. This book was released on 2022-02-17 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial intelligence (AI) and machine learning (ML) techniques play an important role in our daily lives by enhancing predictions and decision-making for the public in several fields such as financial services, real estate business, consumer goods, social media, etc. Despite several studies that have proved the efficacy of AI/ML tools in providing improved healthcare solutions, it has not gained the trust of health-care practitioners and medical scientists. This is due to poor reporting of the technology, variability in medical data, small datasets, and lack of standard guidelines for application of AI. Therefore, the development of new AI/ML tools for various domains of medicine is an ongoing field of research. Machine Learning in Healthcare: Fundamentals and Recent Applications discusses how to build various ML algorithms and how they can be applied to improve healthcare systems. Healthcare applications of AI are innumerable: medical data analysis, early detection and diagnosis of disease, providing objective-based evidence to reduce human errors, curtailing inter- and intra-observer errors, risk identification and interventions for healthcare management, real-time health monitoring, assisting clinicians and patients for selecting appropriate medications, and evaluating drug responses. Extensive demonstrations and discussion on the various principles of machine learning and its application in healthcare is provided, along with solved examples and exercises. This text is ideal for readers interested in machine learning without any background knowledge and looking to implement machine-learning models for healthcare systems.

Immersive Realities: A Journey into Augmented and Virtual Worlds

Author : Divya Bhavani Mohan
Publisher : Libertatem Media Private Limited
ISBN 13 : 8196822367
Total Pages : 243 pages
Book Rating : 4.1/5 (968 download)

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Book Synopsis Immersive Realities: A Journey into Augmented and Virtual Worlds by : Divya Bhavani Mohan

Download or read book Immersive Realities: A Journey into Augmented and Virtual Worlds written by Divya Bhavani Mohan and published by Libertatem Media Private Limited. This book was released on 2023-01-05 with total page 243 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explore the cutting-edge technologies of augmented and virtual reality. This book takes readers on a journey through the development, implementation, and future possibilities of these immersive technologies, offering insights into their impact on various industries and daily life.

Introduction to Computational Health Informatics

Author : Arvind Kumar Bansal
Publisher : CRC Press
ISBN 13 : 1000761592
Total Pages : 664 pages
Book Rating : 4.0/5 (7 download)

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Book Synopsis Introduction to Computational Health Informatics by : Arvind Kumar Bansal

Download or read book Introduction to Computational Health Informatics written by Arvind Kumar Bansal and published by CRC Press. This book was released on 2020-01-08 with total page 664 pages. Available in PDF, EPUB and Kindle. Book excerpt: This class-tested textbook is designed for a semester-long graduate or senior undergraduate course on Computational Health Informatics. The focus of the book is on computational techniques that are widely used in health data analysis and health informatics and it integrates computer science and clinical perspectives. This book prepares computer science students for careers in computational health informatics and medical data analysis. Features Integrates computer science and clinical perspectives Describes various statistical and artificial intelligence techniques, including machine learning techniques such as clustering of temporal data, regression analysis, neural networks, HMM, decision trees, SVM, and data mining, all of which are techniques used widely used in health-data analysis Describes computational techniques such as multidimensional and multimedia data representation and retrieval, ontology, patient-data deidentification, temporal data analysis, heterogeneous databases, medical image analysis and transmission, biosignal analysis, pervasive healthcare, automated text-analysis, health-vocabulary knowledgebases and medical information-exchange Includes bioinformatics and pharmacokinetics techniques and their applications to vaccine and drug development

Smart Healthcare for Disease Diagnosis and Prevention

Author : Sudip Paul
Publisher : Academic Press
ISBN 13 : 9780128179130
Total Pages : 0 pages
Book Rating : 4.1/5 (791 download)

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Book Synopsis Smart Healthcare for Disease Diagnosis and Prevention by : Sudip Paul

Download or read book Smart Healthcare for Disease Diagnosis and Prevention written by Sudip Paul and published by Academic Press. This book was released on 2020-01-17 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Smart Healthcare for Disease Diagnosis and Prevention focuses on the advancement in healthcare technology to improve human health at all levels using smart technologies. It covers all necessary topics from basic concepts (such as signal and image processing) to advanced knowledge on topics such as tissue engineering, virtual and intelligent instrumentation (or VLSI) and Embedded Systems. This book can be used to guide students and young researchers, providing basic knowledge on signal/image processing and smart technologies. Users will find a perfect blend of the interdisciplinary approach to biomedical engineering. The book considers many technical concepts, emerging technologies, real-world healthcare applications, and many other technical, multidisciplinary notions in the same content. Finally, it systemically introduces the technologies and devices for healthcare objects and targets disease diagnosis and prevention in different views.