Handbook Of Research On Disease Prediction Through Data Analytics And Machine Learning

Download Handbook Of Research On Disease Prediction Through Data Analytics And Machine Learning full books in PDF, epub, and Kindle. Read online Handbook Of Research On Disease Prediction Through Data Analytics And Machine Learning ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

Handbook of Research on Disease Prediction Through Data Analytics and Machine Learning

Author : Rani, Geeta
Publisher : IGI Global
ISBN 13 : 1799827437
Total Pages : 586 pages
Book Rating : 4.7/5 (998 download)

DOWNLOAD NOW!

Book Synopsis Handbook of Research on Disease Prediction Through Data Analytics and Machine Learning by : Rani, Geeta

Download or read book Handbook of Research on Disease Prediction Through Data Analytics and Machine Learning written by Rani, Geeta and published by IGI Global. This book was released on 2020-10-16 with total page 586 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Handbook of Research on Machine Learning

Author : Monika Mangla
Publisher : CRC Press
ISBN 13 : 1000565726
Total Pages : 617 pages
Book Rating : 4.0/5 (5 download)

DOWNLOAD NOW!

Book Synopsis Handbook of Research on Machine Learning by : Monika Mangla

Download or read book Handbook of Research on Machine Learning written by Monika Mangla and published by CRC Press. This book was released on 2022-08-04 with total page 617 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume takes the reader on a technological voyage of machine learning advancements, highlighting the systematic changes in algorithms, challenges, and constraints. The technological advancements in the ML arena have transformed and revolutionized several fields, including transportation, agriculture, finance, weather monitoring, and others. This book brings together researchers, authors, industrialists, and academicians to cover a vast selection of topics in ML, starting with the rudiments of machine learning approaches and going on to specific applications in healthcare and industrial automation. The book begins with an overview of the ethics, security and privacy issues, future directions, and challenges in machine learning as well as a systematic review of deep learning techniques and provides an understanding of building generative adversarial networks. Chapters explore predictive data analytics for health issues. The book also adds a macro dimension by highlighting the industrial applications of machine learning, such as in the steel industry, for urban information retrieval, in garbage detection, in measuring air pollution, for stock market predictions, for underwater fish detection, as a fake news predictor, and more.

Machine Learning and Data Analytics for Predicting, Managing, and Monitoring Disease

Author : Roy, Manikant
Publisher : IGI Global
ISBN 13 : 1799871908
Total Pages : 241 pages
Book Rating : 4.7/5 (998 download)

DOWNLOAD NOW!

Book Synopsis Machine Learning and Data Analytics for Predicting, Managing, and Monitoring Disease by : Roy, Manikant

Download or read book Machine Learning and Data Analytics for Predicting, Managing, and Monitoring Disease written by Roy, Manikant and published by IGI Global. This book was released on 2021-06-25 with total page 241 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data analytics is proving to be an ally for epidemiologists as they join forces with data scientists to address the scale of crises. Analytics examined from many sources can derive insights and be used to study and fight global outbreaks. Pandemic analytics is a modern way to combat a problem as old as humanity itself: the proliferation of disease. Machine Learning and Data Analytics for Predicting, Managing, and Monitoring Disease explores different types of data and discusses how to prepare data for analysis, perform simple statistical analyses, create meaningful data visualizations, predict future trends from data, and more by applying cutting edge technology such as machine learning and data analytics in the wake of the COVID-19 pandemic. Covering a range of topics such as mental health analytics during COVID-19, data analysis and machine learning using Python, and statistical model development and deployment, it is ideal for researchers, academicians, data scientists, technologists, data analysts, diagnosticians, healthcare professionals, computer scientists, and students.

Handbook of Research on Engineering, Business, and Healthcare Applications of Data Science and Analytics

Author : Patil, Bhushan
Publisher : IGI Global
ISBN 13 : 1799830543
Total Pages : 583 pages
Book Rating : 4.7/5 (998 download)

DOWNLOAD NOW!

Book Synopsis Handbook of Research on Engineering, Business, and Healthcare Applications of Data Science and Analytics by : Patil, Bhushan

Download or read book Handbook of Research on Engineering, Business, and Healthcare Applications of Data Science and Analytics written by Patil, Bhushan and published by IGI Global. This book was released on 2020-10-23 with total page 583 pages. Available in PDF, EPUB and Kindle. Book excerpt: Analyzing data sets has continued to be an invaluable application for numerous industries. By combining different algorithms, technologies, and systems used to extract information from data and solve complex problems, various sectors have reached new heights and have changed our world for the better. The Handbook of Research on Engineering, Business, and Healthcare Applications of Data Science and Analytics is a collection of innovative research on the methods and applications of data analytics. While highlighting topics including artificial intelligence, data security, and information systems, this book is ideally designed for researchers, data analysts, data scientists, healthcare administrators, executives, managers, engineers, IT consultants, academicians, and students interested in the potential of data application technologies.

Disease Prediction using Machine Learning, Deep Learning and Data Analytics

Author : Geeta Rani, Vijaypal Singh Dhaka, Pradeep Kumar Tiwari
Publisher : Bentham Science Publishers
ISBN 13 : 9815179136
Total Pages : 196 pages
Book Rating : 4.8/5 (151 download)

DOWNLOAD NOW!

Book Synopsis Disease Prediction using Machine Learning, Deep Learning and Data Analytics by : Geeta Rani, Vijaypal Singh Dhaka, Pradeep Kumar Tiwari

Download or read book Disease Prediction using Machine Learning, Deep Learning and Data Analytics written by Geeta Rani, Vijaypal Singh Dhaka, Pradeep Kumar Tiwari and published by Bentham Science Publishers. This book was released on 2024-03-07 with total page 196 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a comprehensive review of technologies and data in healthcare services. It features a compilation of 10 chapters that inform readers about the recent research and developments in this field. Each chapter focuses on a specific aspect of healthcare services, highlighting the potential impact of technology on enhancing practices and outcomes. The main features of the book include 1) referenced contributions from healthcare and data analytics experts, 2) a broad range of topics that cover healthcare services, and 3) demonstration of deep learning techniques for specific diseases. Key topics: - Federated learning in analysis of sensitive healthcare data while preserving privacy and security. - Artificial intelligence for 3-D bone image reconstruction. - Detection of disease severity and creating personalized treatment plans using machine learning and software tools - Case studies for disease detection methods for different disease and conditions, including dementia, asthma, eye diseases - Brain-computer interfaces - Data mining for standardized electronic health records - Data collection, management, and analysis in epidemiological research The book is a resource for learners and professionals in healthcare service training programs and health administration departments. Readership Learners and professionals in healthcare service training programs and health administration departments.

Implementation of Machine Learning Algorithms Using Control-Flow and Dataflow Paradigms

Author : Milutinovi?, Veljko
Publisher : IGI Global
ISBN 13 : 1799883523
Total Pages : 296 pages
Book Rating : 4.7/5 (998 download)

DOWNLOAD NOW!

Book Synopsis Implementation of Machine Learning Algorithms Using Control-Flow and Dataflow Paradigms by : Milutinovi?, Veljko

Download or read book Implementation of Machine Learning Algorithms Using Control-Flow and Dataflow Paradigms written by Milutinovi?, Veljko and published by IGI Global. This book was released on 2022-03-11 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: Based on current literature and cutting-edge advances in the machine learning field, there are four algorithms whose usage in new application domains must be explored: neural networks, rule induction algorithms, tree-based algorithms, and density-based algorithms. A number of machine learning related algorithms have been derived from these four algorithms. Consequently, they represent excellent underlying methods for extracting hidden knowledge from unstructured data, as essential data mining tasks. Implementation of Machine Learning Algorithms Using Control-Flow and Dataflow Paradigms presents widely used data-mining algorithms and explains their advantages and disadvantages, their mathematical treatment, applications, energy efficient implementations, and more. It presents research of energy efficient accelerators for machine learning algorithms. Covering topics such as control-flow implementation, approximate computing, and decision tree algorithms, this book is an essential resource for computer scientists, engineers, students and educators of higher education, researchers, and academicians.

Handbook of Research on Advancements in Cancer Therapeutics

Author : Kumar, Sumit
Publisher : IGI Global
ISBN 13 : 1799865312
Total Pages : 913 pages
Book Rating : 4.7/5 (998 download)

DOWNLOAD NOW!

Book Synopsis Handbook of Research on Advancements in Cancer Therapeutics by : Kumar, Sumit

Download or read book Handbook of Research on Advancements in Cancer Therapeutics written by Kumar, Sumit and published by IGI Global. This book was released on 2020-11-27 with total page 913 pages. Available in PDF, EPUB and Kindle. Book excerpt: The complexity of cancer demands an integrated approach from both a cancer biology standpoint and a pharmaceutical basis to understand the different anticancer modalities. Current research has been focused on conventional and newer anticancer modalities, recent discoveries in cancer research, and also the advancements in cancer treatment. There is a current need for more research on the advances in cancer therapeutics that bridge the gap between basic research (pharmaceutical drug development processes, regulatory issues, and translational experimentation) and clinical application. Recent promising discoveries such as immunotherapies, promising therapies undergoing clinical trials, synthetic lethality, carbon beam radiation, and other exciting targeted therapies are being studied to improve and advance the studies of modern cancer treatment. The Handbook of Research on Advancements in Cancer Therapeutics serves as a comprehensive guide in modern cancer treatment by combining and merging the knowledge from both cancer biology and the pharmacology of anticancer modalities. The chapters come from multi-disciplinary backgrounds, including scientists and clinicians from both academia and various industries, to discuss nascent personalized therapies and big data-driven cancer treatment. While highlighting topic areas that include cancer prevention, cancer therapeutics, and cancer treatments through the lenses of technology, medicine/drugs, and alternate therapies, this book is ideally intended for oncologists, radiation oncologists, surgical oncologists, and cancer biologists, along with practitioners, stakeholders, researchers, academicians, and students who are interested in understanding the most fundamental aspects of cancer and the available therapeutic opportunities.

Handbook of Research on Applications and Implementations of Machine Learning Techniques

Author : Sathiyamoorthi Velayutham
Publisher : IGI Global, Engineering Science Reference
ISBN 13 : 9781522599050
Total Pages : 0 pages
Book Rating : 4.5/5 (99 download)

DOWNLOAD NOW!

Book Synopsis Handbook of Research on Applications and Implementations of Machine Learning Techniques by : Sathiyamoorthi Velayutham

Download or read book Handbook of Research on Applications and Implementations of Machine Learning Techniques written by Sathiyamoorthi Velayutham and published by IGI Global, Engineering Science Reference. This book was released on 2019-08-23 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book examines the practical applications and implementation of various machine learning techniques in various fields such as agriculture, medical, image processing, and networking"--

Handbook of Research on Entrepreneurship, Innovation, Sustainability, and ICTs in the Post-COVID-19 Era

Author : Carvalho, Luisa Cagica
Publisher : IGI Global
ISBN 13 : 1799867781
Total Pages : 451 pages
Book Rating : 4.7/5 (998 download)

DOWNLOAD NOW!

Book Synopsis Handbook of Research on Entrepreneurship, Innovation, Sustainability, and ICTs in the Post-COVID-19 Era by : Carvalho, Luisa Cagica

Download or read book Handbook of Research on Entrepreneurship, Innovation, Sustainability, and ICTs in the Post-COVID-19 Era written by Carvalho, Luisa Cagica and published by IGI Global. This book was released on 2021-04-30 with total page 451 pages. Available in PDF, EPUB and Kindle. Book excerpt: ICT has had a huge impact on businesses and organizations in general, with new business models, new marketing channels, and new markets being reached using these technologies. ICT can promote new strategies and enhancers to optimize various aspects of business, but this technology also provides important tools that can empower social entrepreneurship initiatives to develop, fund, and implement new and innovative solutions to social, cultural, and environmental problems. With the upheaval caused by the COVID-19 pandemic and its subsequent impact on the economy, the methods and tools used within this field will be forever impacted. ICTs and the digital economy are huge trends that will affect organizations in several dimensions, such as how to communicate and improve performance. Thus, new perspectives and research are needed to identify the trends emerging in these fields. The Handbook of Research on Entrepreneurship, Innovation, Sustainability, and ICTs in the Post-COVID-19 Era broadens the exploitation of entrepreneurship, innovation, and ICTs in a global approach to draw attention to multidisciplinary perspectives of these contexts and their influence in modern organizations. In addition, the book explores and discusses, through innovative studies, case studies, systematic literature reviews, and reports, the key developments in digital entrepreneurship, circular economy and digitalization, digital business models, digital market and internationalization, digital economy, trends and challenges for organizations, digital entrepreneurial ecosystems, IS/ICT in organizations, social aspects of information systems, and more. This book is ideally intended for business managers, industry professionals, entrepreneurs, practitioners, stakeholders, researchers, academicians, and students looking for how business and organizations are going to shift and advance in the post-COVID-19 era.

New Approaches to Data Analytics and Internet of Things Through Digital Twin

Author : Karthikeyan, P.
Publisher : IGI Global
ISBN 13 : 1668457245
Total Pages : 326 pages
Book Rating : 4.6/5 (684 download)

DOWNLOAD NOW!

Book Synopsis New Approaches to Data Analytics and Internet of Things Through Digital Twin by : Karthikeyan, P.

Download or read book New Approaches to Data Analytics and Internet of Things Through Digital Twin written by Karthikeyan, P. and published by IGI Global. This book was released on 2022-09-30 with total page 326 pages. Available in PDF, EPUB and Kindle. Book excerpt: Even though many data analytics tools have been developed in the past years, their usage in the field of cyber twin warrants new approaches that consider various aspects including unified data representation, zero-day attack detection, data sharing across threat detection systems, real-time analysis, sampling, dimensionality reduction, resource-constrained data processing, and time series analysis for anomaly detection. Further study is required to fully understand the opportunities, benefits, and difficulties of data analytics and the internet of things in today’s modern world. New Approaches to Data Analytics and Internet of Things Through Digital Twin considers how data analytics and the internet of things can be used successfully within the field of digital twin as well as the potential future directions of these technologies. Covering key topics such as edge networks, deep learning, intelligent data analytics, and knowledge discovery, this reference work is ideal for computer scientists, industry professionals, researchers, scholars, practitioners, academicians, instructors, and students.

Handbook of Research on Applied Intelligence for Health and Clinical Informatics

Author : Thakare, Anuradha Dheeraj
Publisher : IGI Global
ISBN 13 : 1799877108
Total Pages : 470 pages
Book Rating : 4.7/5 (998 download)

DOWNLOAD NOW!

Book Synopsis Handbook of Research on Applied Intelligence for Health and Clinical Informatics by : Thakare, Anuradha Dheeraj

Download or read book Handbook of Research on Applied Intelligence for Health and Clinical Informatics written by Thakare, Anuradha Dheeraj and published by IGI Global. This book was released on 2021-10-22 with total page 470 pages. Available in PDF, EPUB and Kindle. Book excerpt: Currently, informatics within the field of public health is a developing and growing industry. Clinical informatics are used in direct patient care by supplying medical practitioners with information that can be used to develop a care plan. Intelligent applications in clinical informatics facilitates with the technology-based solutions to analyze data or medical images and help clinicians to retrieve that information. Decision models aid with making complex decisions especially in uncertain situations. The Handbook of Research on Applied Intelligence for Health and Clinical Informatics is a comprehensive reference book that focuses on the study of resources and methods for the management of healthcare infrastructure and information. This book provides insights on how applied intelligence with deep learning, experiential learning, and more will impact healthcare and clinical information processing. The content explores the representation, processing, and communication of clinical information in natural and engineered systems. This book covers a range of topics including applied intelligence, medical imaging, telehealth, and decision support systems, and also looks at technologies and tools used in the detection and diagnosis of medical conditions such as cancers, diabetes, heart disease, lung disease, and prenatal syndromes. It is an essential reference source for diagnosticians, medical professionals, imaging specialists, data specialists, IT consultants, medical technologists, academicians, researchers, industrial experts, scientists, and students.

Big Data Analytics in Astronomy, Science, and Engineering

Author : Shelly Sachdeva
Publisher : Springer Nature
ISBN 13 : 303158502X
Total Pages : 324 pages
Book Rating : 4.0/5 (315 download)

DOWNLOAD NOW!

Book Synopsis Big Data Analytics in Astronomy, Science, and Engineering by : Shelly Sachdeva

Download or read book Big Data Analytics in Astronomy, Science, and Engineering written by Shelly Sachdeva and published by Springer Nature. This book was released on with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Handbook of Research on Emerging Trends and Applications of Machine Learning

Author : Solanki, Arun
Publisher : IGI Global
ISBN 13 : 1522596453
Total Pages : 674 pages
Book Rating : 4.5/5 (225 download)

DOWNLOAD NOW!

Book Synopsis Handbook of Research on Emerging Trends and Applications of Machine Learning by : Solanki, Arun

Download or read book Handbook of Research on Emerging Trends and Applications of Machine Learning written by Solanki, Arun and published by IGI Global. This book was released on 2019-12-13 with total page 674 pages. Available in PDF, EPUB and Kindle. Book excerpt: As today’s world continues to advance, Artificial Intelligence (AI) is a field that has become a staple of technological development and led to the advancement of numerous professional industries. An application within AI that has gained attention is machine learning. Machine learning uses statistical techniques and algorithms to give computer systems the ability to understand and its popularity has circulated through many trades. Understanding this technology and its countless implementations is pivotal for scientists and researchers across the world. The Handbook of Research on Emerging Trends and Applications of Machine Learning provides a high-level understanding of various machine learning algorithms along with modern tools and techniques using Artificial Intelligence. In addition, this book explores the critical role that machine learning plays in a variety of professional fields including healthcare, business, and computer science. While highlighting topics including image processing, predictive analytics, and smart grid management, this book is ideally designed for developers, data scientists, business analysts, information architects, finance agents, healthcare professionals, researchers, retail traders, professors, and graduate students seeking current research on the benefits, implementations, and trends of machine learning.

Biomedical Signal Processing for Healthcare Applications

Author : Varun Bajaj
Publisher : CRC Press
ISBN 13 : 1000413306
Total Pages : 336 pages
Book Rating : 4.0/5 (4 download)

DOWNLOAD NOW!

Book Synopsis Biomedical Signal Processing for Healthcare Applications by : Varun Bajaj

Download or read book Biomedical Signal Processing for Healthcare Applications written by Varun Bajaj and published by CRC Press. This book was released on 2021-07-21 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book examines the use of biomedical signal processing—EEG, EMG, and ECG—in analyzing and diagnosing various medical conditions, particularly diseases related to the heart and brain. In combination with machine learning tools and other optimization methods, the analysis of biomedical signals greatly benefits the healthcare sector by improving patient outcomes through early, reliable detection. The discussion of these modalities promotes better understanding, analysis, and application of biomedical signal processing for specific diseases. The major highlights of Biomedical Signal Processing for Healthcare Applications include biomedical signals, acquisition of signals, pre-processing and analysis, post-processing and classification of the signals, and application of analysis and classification for the diagnosis of brain- and heart-related diseases. Emphasis is given to brain and heart signals because incomplete interpretations are made by physicians of these aspects in several situations, and these partial interpretations lead to major complications. FEATURES Examines modeling and acquisition of biomedical signals of different disorders Discusses CAD-based analysis of diagnosis useful for healthcare Includes all important modalities of biomedical signals, such as EEG, EMG, MEG, ECG, and PCG Includes case studies and research directions, including novel approaches used in advanced healthcare systems This book can be used by a wide range of users, including students, research scholars, faculty, and practitioners in the field of biomedical engineering and medical image analysis and diagnosis.

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)

DOWNLOAD NOW!

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.

Controlling Epidemics With Mathematical and Machine Learning Models

Author : Varghese, Abraham
Publisher : IGI Global
ISBN 13 : 1799883442
Total Pages : 278 pages
Book Rating : 4.7/5 (998 download)

DOWNLOAD NOW!

Book Synopsis Controlling Epidemics With Mathematical and Machine Learning Models by : Varghese, Abraham

Download or read book Controlling Epidemics With Mathematical and Machine Learning Models written by Varghese, Abraham and published by IGI Global. This book was released on 2022-10-21 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt: Communicable diseases have been an important part of human history. Epidemics afflicted populations, causing many deaths before gradually fading away and emerging again years after. Epidemics of infectious diseases are occurring more often, and spreading faster and further than ever, in many different regions of the world. The scientific community, in addition to its accelerated efforts to develop an effective treatment and vaccination, is also playing an important role in advising policymakers on possible non-pharmacological approaches to limit the catastrophic impact of epidemics using mathematical and machine learning models. Controlling Epidemics With Mathematical and Machine Learning Models provides mathematical and machine learning models for epidemical diseases, with special attention given to the COVID-19 pandemic. It gives mathematical proof of the stability and size of diseases. Covering topics such as compartmental models, reproduction number, and SIR model simulation, this premier reference source is an essential resource for statisticians, government officials, health professionals, epidemiologists, sociologists, students and educators of higher education, librarians, researchers, and academicians.

Wearable and Implantable Electrocardiography for Early Detection of Cardiovascular Diseases

Author : Hussain, Shaik Asif
Publisher : IGI Global
ISBN 13 : 1668448769
Total Pages : 170 pages
Book Rating : 4.6/5 (684 download)

DOWNLOAD NOW!

Book Synopsis Wearable and Implantable Electrocardiography for Early Detection of Cardiovascular Diseases by : Hussain, Shaik Asif

Download or read book Wearable and Implantable Electrocardiography for Early Detection of Cardiovascular Diseases written by Hussain, Shaik Asif and published by IGI Global. This book was released on 2023-08-25 with total page 170 pages. Available in PDF, EPUB and Kindle. Book excerpt: The field of cardiovascular research and monitoring faces a critical challenge in the early detection of cardiovascular diseases due to limitations in existing monitoring methods. These methods lack accuracy, power efficiency, and compactness, creating a gap in effective intervention and patient outcomes. This pressing problem necessitates advanced solutions that can enhance the capabilities of wearable and implantable electrocardiography (ECG) sensors for accurate and timely detection of conditions like cardiac arrhythmia and heart failure. Wearable and Implantable Electrocardiography for Early Detection of Cardiovascular Diseases presents a comprehensive solution to address these challenges. Written by esteemed scholars with experience in academia and research, this groundbreaking book introduces innovative approaches to enhance ECG sensors. It introduces a novel low-noise and low-power capacitive feedback amplifier based on a current-reused operational transconductance amplifier (OTA), incorporating digitalization techniques and threshold converters to enable the accurate extraction of vital data points. The book emphasizes reduced power consumption and circuit size to ensure energy-efficient and compact monitoring solutions. Targeting academic scholars, researchers, and professionals in the field, this essential resource covers a wide range of topics and equips readers with valuable insights and innovative solutions to overcome existing limitations. By utilizing the knowledge and tools shared in this book, scholars and professionals can drive advancements in the early detection and management of cardiovascular diseases, improving patient care and outcomes.