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

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

Rani, Geeta,Tiwari, Pradeep Kumar
Handbook of Research on Disease Prediction Through Data Analytics and Machine Learning Book PDF

Author : Rani, Geeta,Tiwari, Pradeep Kumar
Publisher : IGI Global
Page : 586 pages
File Size : 54,6 Mb
Release : 2020-10-16
Category : Medical
ISBN : 9781799827436

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Handbook of Research on Disease Prediction Through Data Analytics and Machine Learning by Rani, Geeta,Tiwari, Pradeep Kumar Pdf

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

Monika Mangla,Subhash K. Shinde,Vaishali Mehta,Nonita Sharma,Sachi Nandan Mohanty
Handbook of Research on Machine Learning Book PDF

Author : Monika Mangla,Subhash K. Shinde,Vaishali Mehta,Nonita Sharma,Sachi Nandan Mohanty
Publisher : CRC Press
Page : 617 pages
File Size : 49,5 Mb
Release : 2022-08-04
Category : Computers
ISBN : 9781000565720

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Handbook of Research on Machine Learning by Monika Mangla,Subhash K. Shinde,Vaishali Mehta,Nonita Sharma,Sachi Nandan Mohanty Pdf

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

Roy, Manikant,Gupta, Lovi Raj
Machine Learning and Data Analytics for Predicting Managing and Monitoring Disease Book PDF

Author : Roy, Manikant,Gupta, Lovi Raj
Publisher : IGI Global
Page : 241 pages
File Size : 51,7 Mb
Release : 2021-06-25
Category : Computers
ISBN : 9781799871903

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Machine Learning and Data Analytics for Predicting, Managing, and Monitoring Disease by Roy, Manikant,Gupta, Lovi Raj Pdf

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.

Disease Prediction using Machine Learning, Deep Learning and Data Analytics

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

Author : Geeta Rani, Vijaypal Singh Dhaka, Pradeep Kumar Tiwari
Publisher : Bentham Science Publishers
Page : 196 pages
File Size : 54,6 Mb
Release : 2024-03-07
Category : Computers
ISBN : 9789815179132

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

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.

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

Patil, Bhushan,Vohra, Manisha
Handbook of Research on Engineering Business and Healthcare Applications of Data Science and Analytics Book PDF

Author : Patil, Bhushan,Vohra, Manisha
Publisher : IGI Global
Page : 583 pages
File Size : 53,6 Mb
Release : 2020-10-23
Category : Computers
ISBN : 9781799830542

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Handbook of Research on Engineering, Business, and Healthcare Applications of Data Science and Analytics by Patil, Bhushan,Vohra, Manisha Pdf

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.

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

Milutinovi?, Veljko,Miti?, Nenad,Kartelj, Aleksandar,Kotlar, Miloš
Implementation of Machine Learning Algorithms Using Control Flow and Dataflow Paradigms Book PDF

Author : Milutinovi?, Veljko,Miti?, Nenad,Kartelj, Aleksandar,Kotlar, Miloš
Publisher : IGI Global
Page : 296 pages
File Size : 46,6 Mb
Release : 2022-03-11
Category : Computers
ISBN : 9781799883524

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Implementation of Machine Learning Algorithms Using Control-Flow and Dataflow Paradigms by Milutinovi?, Veljko,Miti?, Nenad,Kartelj, Aleksandar,Kotlar, Miloš Pdf

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

Kumar, Sumit,Rizvi, Moshahid Alam,Verma, Saurabh
Handbook of Research on Advancements in Cancer Therapeutics Book PDF

Author : Kumar, Sumit,Rizvi, Moshahid Alam,Verma, Saurabh
Publisher : IGI Global
Page : 913 pages
File Size : 48,6 Mb
Release : 2020-11-27
Category : Medical
ISBN : 9781799865315

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Handbook of Research on Advancements in Cancer Therapeutics by Kumar, Sumit,Rizvi, Moshahid Alam,Verma, Saurabh Pdf

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 Entrepreneurship, Innovation, Sustainability, and ICTs in the Post-COVID-19 Era

Carvalho, Luisa Cagica,Reis, Leonilde,Silveira, Clara
Handbook of Research on Entrepreneurship Innovation Sustainability and ICTs in the Post COVID 19 Era Book PDF

Author : Carvalho, Luisa Cagica,Reis, Leonilde,Silveira, Clara
Publisher : IGI Global
Page : 451 pages
File Size : 46,8 Mb
Release : 2021-04-30
Category : Business & Economics
ISBN : 9781799867784

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Handbook of Research on Entrepreneurship, Innovation, Sustainability, and ICTs in the Post-COVID-19 Era by Carvalho, Luisa Cagica,Reis, Leonilde,Silveira, Clara Pdf

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

Karthikeyan, P.,Katina, Polinpapilinho F.,Anandaraj, S.P.
New Approaches to Data Analytics and Internet of Things Through Digital Twin Book PDF

Author : Karthikeyan, P.,Katina, Polinpapilinho F.,Anandaraj, S.P.
Publisher : IGI Global
Page : 326 pages
File Size : 43,9 Mb
Release : 2022-09-30
Category : Computers
ISBN : 9781668457245

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New Approaches to Data Analytics and Internet of Things Through Digital Twin by Karthikeyan, P.,Katina, Polinpapilinho F.,Anandaraj, S.P. Pdf

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.

Biomedical Signal Processing for Healthcare Applications

Varun Bajaj,G. R. Sinha,Chinmay Chakraborty
Biomedical Signal Processing for Healthcare Applications Book PDF

Author : Varun Bajaj,G. R. Sinha,Chinmay Chakraborty
Publisher : CRC Press
Page : 336 pages
File Size : 42,8 Mb
Release : 2021-07-21
Category : Technology & Engineering
ISBN : 9781000413304

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Biomedical Signal Processing for Healthcare Applications by Varun Bajaj,G. R. Sinha,Chinmay Chakraborty Pdf

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.

Controlling Epidemics With Mathematical and Machine Learning Models

Varghese, Abraham,Lacap, Jr., Eduardo M.,Sajath, Ibrahim,Kumar, M. Kamal,Kolamban, Shajidmon
Controlling Epidemics With Mathematical and Machine Learning Models Book PDF

Author : Varghese, Abraham,Lacap, Jr., Eduardo M.,Sajath, Ibrahim,Kumar, M. Kamal,Kolamban, Shajidmon
Publisher : IGI Global
Page : 278 pages
File Size : 43,9 Mb
Release : 2022-10-21
Category : Medical
ISBN : 9781799883449

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Controlling Epidemics With Mathematical and Machine Learning Models by Varghese, Abraham,Lacap, Jr., Eduardo M.,Sajath, Ibrahim,Kumar, M. Kamal,Kolamban, Shajidmon Pdf

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

Hussain, Shaik Asif,Babu Jyothi, J. Chinna,Albassam, Nizar
Wearable and Implantable Electrocardiography for Early Detection of Cardiovascular Diseases Book PDF

Author : Hussain, Shaik Asif,Babu Jyothi, J. Chinna,Albassam, Nizar
Publisher : IGI Global
Page : 170 pages
File Size : 44,8 Mb
Release : 2023-08-25
Category : Medical
ISBN : 9781668448762

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Wearable and Implantable Electrocardiography for Early Detection of Cardiovascular Diseases by Hussain, Shaik Asif,Babu Jyothi, J. Chinna,Albassam, Nizar Pdf

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.

Handbook of Research on Data Science and Cybersecurity Innovations in Industry 4.0 Technologies

Murugan, Thangavel,E., Nirmala
Handbook of Research on Data Science and Cybersecurity Innovations in Industry 4 0 Technologies Book PDF

Author : Murugan, Thangavel,E., Nirmala
Publisher : IGI Global
Page : 649 pages
File Size : 55,9 Mb
Release : 2023-09-21
Category : Computers
ISBN : 9781668481479

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Handbook of Research on Data Science and Cybersecurity Innovations in Industry 4.0 Technologies by Murugan, Thangavel,E., Nirmala Pdf

Disruptive innovations are now propelling Industry 4.0 (I4.0) and presenting new opportunities for value generation in all major industry segments. I4.0 technologies' innovations in cybersecurity and data science provide smart apps and services with accurate real-time monitoring and control. Through enhanced access to real-time information, it also aims to increase overall effectiveness, lower costs, and increase the efficiency of people, processes, and technology. The Handbook of Research on Data Science and Cybersecurity Innovations in Industry 4.0 Technologies discusses the technological foundations of cybersecurity and data science within the scope of the I4.0 landscape and details the existing cybersecurity and data science innovations with I4.0 applications, as well as state-of-the-art solutions with regard to both academic research and practical implementations. Covering key topics such as data science, blockchain, and artificial intelligence, this premier reference source is ideal for industry professionals, computer scientists, scholars, researchers, academicians, practitioners, instructors, and students.

Cognitive Cardiac Rehabilitation Using IoT and AI Tools

Bhowmick, Parijat,Das, Sima,Mazumdar, Kaushik
Cognitive Cardiac Rehabilitation Using IoT and AI Tools Book PDF

Author : Bhowmick, Parijat,Das, Sima,Mazumdar, Kaushik
Publisher : IGI Global
Page : 290 pages
File Size : 47,7 Mb
Release : 2023-06-27
Category : Medical
ISBN : 9781668475621

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Cognitive Cardiac Rehabilitation Using IoT and AI Tools by Bhowmick, Parijat,Das, Sima,Mazumdar, Kaushik Pdf

In recent times, research in human-focused robot technologies aims to bring social-emotional intelligence closer, which interconnects with human lifestyles. Among several areas that can benefit from it, the healthcare sector, which consists of many possible areas of therapeutic interposition, is the most vital. Further, there is always concern about patient adherence to cardiac rehabilitation. It is essential to understand the motivational factors affecting patient participation and compliance with cardiac rehabilitation by recognizing and understanding the nature of patient experiences. Cognitive Cardiac Rehabilitation Using IoT and AI Tools describes the application of AI techniques used to extract features from brain and heart signal data and to better efficiency compared to the existing methods. This book also describes the application of AI tools to classify disorders and better performance compared to the existing benchmarks. Covering topics such as cardiac rehabilitation, heart disease prediction, and online social media analytics, this premier reference source is an excellent resource for healthcare professionals, medical engineers, hospital administrators, students and educators of higher education, researchers, and academicians.

Handbook of Research on Applied Intelligence for Health and Clinical Informatics

Thakare, Anuradha Dheeraj,Wagh, Sanjeev J.,Bhende, Manisha Sunil,Anter, Ahmed M.,Gao, Xiao-Zhi
Handbook of Research on Applied Intelligence for Health and Clinical Informatics Book PDF

Author : Thakare, Anuradha Dheeraj,Wagh, Sanjeev J.,Bhende, Manisha Sunil,Anter, Ahmed M.,Gao, Xiao-Zhi
Publisher : IGI Global
Page : 470 pages
File Size : 55,9 Mb
Release : 2021-10-22
Category : Medical
ISBN : 9781799877103

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Handbook of Research on Applied Intelligence for Health and Clinical Informatics by Thakare, Anuradha Dheeraj,Wagh, Sanjeev J.,Bhende, Manisha Sunil,Anter, Ahmed M.,Gao, Xiao-Zhi Pdf

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.