Intelligent Modeling Prediction And Diagnosis From Epidemiological Data

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Intelligent Modeling, Prediction, and Diagnosis from Epidemiological Data

Author : Siddhartha Bhattacharyya
Publisher : CRC Press
ISBN 13 : 1000474704
Total Pages : 233 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Intelligent Modeling, Prediction, and Diagnosis from Epidemiological Data by : Siddhartha Bhattacharyya

Download or read book Intelligent Modeling, Prediction, and Diagnosis from Epidemiological Data written by Siddhartha Bhattacharyya and published by CRC Press. This book was released on 2021-11-22 with total page 233 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intelligent Modeling, Prediction, and Diagnosis from Epidemiological Data: COVID-19 and Beyond is a handy treatise to elicit and elaborate possible intelligent mechanisms for modeling, prediction, diagnosis, and early detection of diseases arising from outbreaks of different epidemics with special reference to COVID-19. Starting with a formal introduction of the human immune systems, this book focuses on the epidemiological aspects with due cognizance to modeling, prevention, and diagnosis of epidemics. In addition, it also deals with evolving decisions on post-pandemic socio-economic structure. The book offers a comprehensive coverage of the most essential topics, including: A general overview of pandemics and their outbreak behavior A detailed overview of CI techniques Intelligent modeling, prediction, and diagnostic measures for pandemics Prognostic models Post-pandemic socio-economic structure The accompanying case studies are based on available real-world data sets. While other books may deal with this COVID-19 pandemic, none features topics covering the human immune system as well as influences on the environmental disorder due to the ongoing pandemic. The book is primarily intended to benefit medical professionals and healthcare workers as well as the virologists who are essentially the frontline fighters of this pandemic. In addition, it also serves as a vital resource for relevant researchers in this interdisciplinary field as well as for tutors and postgraduate and undergraduate students of information sciences.

Intelligent Modeling, Prediction, and Diagnosis from Epidemiological Data

Author : Siddhartha Bhattacharyya
Publisher : CRC Press
ISBN 13 : 1000474739
Total Pages : 290 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Intelligent Modeling, Prediction, and Diagnosis from Epidemiological Data by : Siddhartha Bhattacharyya

Download or read book Intelligent Modeling, Prediction, and Diagnosis from Epidemiological Data written by Siddhartha Bhattacharyya and published by CRC Press. This book was released on 2021-11-23 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intelligent Modeling, Prediction, and Diagnosis from Epidemiological Data: COVID-19 and Beyond is a handy treatise to elicit and elaborate possible intelligent mechanisms for modeling, prediction, diagnosis, and early detection of diseases arising from outbreaks of different epidemics with special reference to COVID-19. Starting with a formal introduction of the human immune systems, this book focuses on the epidemiological aspects with due cognizance to modeling, prevention, and diagnosis of epidemics. In addition, it also deals with evolving decisions on post-pandemic socio-economic structure. The book offers a comprehensive coverage of the most essential topics, including: A general overview of pandemics and their outbreak behavior A detailed overview of CI techniques Intelligent modeling, prediction, and diagnostic measures for pandemics Prognostic models Post-pandemic socio-economic structure The accompanying case studies are based on available real-world data sets. While other books may deal with this COVID-19 pandemic, none features topics covering the human immune system as well as influences on the environmental disorder due to the ongoing pandemic. The book is primarily intended to benefit medical professionals and healthcare workers as well as the virologists who are essentially the frontline fighters of this pandemic. In addition, it also serves as a vital resource for relevant researchers in this interdisciplinary field as well as for tutors and postgraduate and undergraduate students of information sciences.

Intelligent Modelling, Prediction, and Diagnosis from Epidemiological Data

Author : Siddhartha Bhattacharyya
Publisher :
ISBN 13 : 9780367746094
Total Pages : pages
Book Rating : 4.7/5 (46 download)

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Book Synopsis Intelligent Modelling, Prediction, and Diagnosis from Epidemiological Data by : Siddhartha Bhattacharyya

Download or read book Intelligent Modelling, Prediction, and Diagnosis from Epidemiological Data written by Siddhartha Bhattacharyya and published by . This book was released on 2021 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: "Intelligent Modelling, Prediction, and Diagnosis from Epidemiological Data COVID-19 and Beyond is a handy treatise to elicit and elaborate possible intelligent mechanisms for modeling, prediction, diagnosis and early detection of diseases arising out of outbreaks of different epidemics with special reference to COVID-19. Starting with a formal introduction of the human immune systems, this book focuses on the epidemiological aspects with due cognizance to modeling, prevention and diagnosis of epidemics. In addition, it also deals with evolving decisions on post-pandemic economic-social structure. The book offers comprehensive coverage of the most essential topics, including: A general overview of pandemics and their outbreak behavior. A detailed overview of CI techniques. Intelligent modeling, prediction and diagnostic measures for pandemics. Prognostic models. Post-pandemic socio-economic structure. The accompanying case studies are based on real-world data sets available till date. While other books may deal with this Covid-19 pandemic, none features the human immune systems as well as influences on the environmental disorder due to the ongoing pandemic. The book is primarily intended to come to the benefit of medical professionals and healthcare workers along with the virologists who are essentially the frontline fighters of Covid-19 pandemic. In addition, it would also serve as an essential resource for relevant researchers in this interdisciplinary field apart from tutors, post-graduate and under-graduate students of information sciences"--

IoT, Machine Learning and Data Analytics for Smart Healthcare

Author : Mourade Azrour
Publisher : CRC Press
ISBN 13 : 1003860664
Total Pages : 118 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis IoT, Machine Learning and Data Analytics for Smart Healthcare by : Mourade Azrour

Download or read book IoT, Machine Learning and Data Analytics for Smart Healthcare written by Mourade Azrour and published by CRC Press. This book was released on 2024-03-13 with total page 118 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine learning, Internet of Things (IoT) and data analytics are new and fresh technologies that are being increasingly adopted in the field of medicine. This book positions itself at the forefront of this movement, exploring the beneficial applications of these new technologies and how they are gradually creating a smart healthcare system. This book details the various ways in which machine learning, data analytics and IoT solutions are instrumental in disease prediction in smart healthcare. For example, wearable sensors further help doctors and healthcare managers to monitor patients remotely and collect their health parameters in real-time, which can then be used to create datasets to develop machine learning models that can aid in the prediction and detection of any susceptible disease. In this way, smart healthcare can provide novel solutions to traditional medical issues. This book is a useful overview for scientists, researchers, practitioners and academics specialising in the field of intelligent healthcare, as well as containing additional appeal as a reference book for undergraduate and graduate students

Technological Advancement in E-waste Management

Author : Biswajit Debnath
Publisher : CRC Press
ISBN 13 : 1003804667
Total Pages : 125 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Technological Advancement in E-waste Management by : Biswajit Debnath

Download or read book Technological Advancement in E-waste Management written by Biswajit Debnath and published by CRC Press. This book was released on 2023-12-07 with total page 125 pages. Available in PDF, EPUB and Kindle. Book excerpt: The theme of this book is sustainable e-waste management through effective amalgamation of information and communication technologies (ICT) and green recycling technologies to ensure development of intelligent, smart, and sustainable systems. It encompasses multidisciplinary interventions, including recent case studies from OEMs and IT industries as well as e-waste recyclers, and explores interdisciplinary research and industry–academia collaborations towards the development of smart and sustainable systems for e-waste management. Features: Covers the application of smart and intelligent systems for e-waste management. Explores recent advancements from the technological aspect – both recycling and ICT. Reviews supply chain criticalities for e-waste. Aims at cleaner production and intelligent systems for a green digital economy. Includes real-life case studies reflecting industry standards and the current paradigm. This book is aimed at graduate students and researchers in environmental engineering, waste management, urban mining, circular economy, waste processing, electronics and telecommunication engineering, electrical and electronics engineering, and chemical engineering.

Digital India: Navigating Sustainable Development Goals

Author : Dr. Somnath Chatterjee
Publisher : Allied Publishers
ISBN 13 : 9389934346
Total Pages : 216 pages
Book Rating : 4.3/5 (899 download)

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Book Synopsis Digital India: Navigating Sustainable Development Goals by : Dr. Somnath Chatterjee

Download or read book Digital India: Navigating Sustainable Development Goals written by Dr. Somnath Chatterjee and published by Allied Publishers. This book was released on 2024-02-06 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: Digital India: Navigating Sustainable Development Goals is a comprehensive edited volume exploring India's transformative digital journey in alignment with the Sustainable Development Goals (SDGs). This resource-rich book caters to academics, researchers, policymakers, practitioners, students and global stakeholders. Covering diverse topics such as the impact of COVID-19 on education, Fintech adoption, gender justice, and sustainability challenges, it provides a nuanced understanding of the intersection between technology and sustainable development. The book serves as a valuable resource for gaining insights into the practical implications of Digital India initiatives and their role in achieving SDGs.

Blockchain, IoT, and AI Technologies for Supply Chain Management

Author : Priyanka Chawla
Publisher : CRC Press
ISBN 13 : 1000854957
Total Pages : 295 pages
Book Rating : 4.0/5 (8 download)

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Book Synopsis Blockchain, IoT, and AI Technologies for Supply Chain Management by : Priyanka Chawla

Download or read book Blockchain, IoT, and AI Technologies for Supply Chain Management written by Priyanka Chawla and published by CRC Press. This book was released on 2023-05-05 with total page 295 pages. Available in PDF, EPUB and Kindle. Book excerpt: Supply chain management, often known as SCM, refers to the extensive variety of operations that are required to plan, monitor, and coordinate the movement of a product from its raw materials to its finished state in the most time- and money-efficient manner possible. How the supply chain is managed has an impact not only on the quality of the product and the service but also on the distribution, costs, and overall customer experience. Supply chain management is a massive undertaking that needs firms to reevaluate the method in which they operate their supply chains. Blockchain, IoT, and AI Technologies for Supply Chain Management discusses the problems and difficulties that the facilitators of the supply chain confront, in addition to the possible solutions to such problems and difficulties. This book will be the only one of its kind to address the impact of COVID-19 on supply chain systems involving different stakeholders such as producers, dealers, and manufacturers and will provide a foundation for future research opportunities that will allow for the unrestricted expansion and prosperity of business. It will serve as a foundation for academics, scientists, and educationists interested in the use of modern technologies in the field of supply chain management, such as the Internet of Things (IoT), Artificial Intelligence (AI), and Blockchain. In addition to those engaged in research, undergraduate and postgraduate students in higher education can also use this publication as a reference book. This book also presents a multifaceted perspective for the general public, including topics such as computer science, the food business, hotel management, fashion, medical, inventory management, and agricultural spheres.

Intelligent Modelling, Prediction, and Diagnosis from Epidemiological Data

Author : Siddhartha Bhattacharyya
Publisher : Chapman & Hall/CRC Computational Intelligence and Its Applications
ISBN 13 : 9780367746063
Total Pages : 216 pages
Book Rating : 4.7/5 (46 download)

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Book Synopsis Intelligent Modelling, Prediction, and Diagnosis from Epidemiological Data by : Siddhartha Bhattacharyya

Download or read book Intelligent Modelling, Prediction, and Diagnosis from Epidemiological Data written by Siddhartha Bhattacharyya and published by Chapman & Hall/CRC Computational Intelligence and Its Applications. This book was released on 2021 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intelligent Modelling, Prediction, and Diagnosis from Epidemiological Data COVID-19 and Beyond is a handy treatise to elicit and elaborate possible intelligent mechanisms for modeling, prediction, diagnosis and early detection of diseases arising out of outbreaks of different epidemics with special reference to COVID-19. Starting with a formal introduction of the human immune systems, this book focuses on the epidemiological aspects with due cognizance to modeling, prevention and diagnosis of epidemics. In addition, it also deals with evolving decisions on post-pandemic economic-social structure. The book offers comprehensive coverage of the most essential topics, including: A general overview of pandemics and their outbreak behavior. A detailed overview of CI techniques. Intelligent modeling, prediction and diagnostic measures for pandemics. Prognostic models. Post-pandemic socio-economic structure. The accompanying case studies are based on real-world data sets available till date. While other books may deal with this Covid-19 pandemic, none features the human immune systems as well as influences on the environmental disorder due to the ongoing pandemic. The book is primarily intended to come to the benefit of medical professionals and healthcare workers along with the virologists who are essentially the frontline fighters of Covid-19 pandemic. In addition, it would also serve as an essential resource for relevant researchers in this interdisciplinary field apart from tutors, post-graduate and under-graduate students of information sciences.

Nano Drug Delivery for Cancer Therapy

Author : Firdos Alam Khan
Publisher : Springer Nature
ISBN 13 : 9819969409
Total Pages : 259 pages
Book Rating : 4.8/5 (199 download)

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Book Synopsis Nano Drug Delivery for Cancer Therapy by : Firdos Alam Khan

Download or read book Nano Drug Delivery for Cancer Therapy written by Firdos Alam Khan and published by Springer Nature. This book was released on 2024-01-08 with total page 259 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses the various modes and methods of nano-based drug delivery in different types of cancers such as colon, breast, cervical, ovarian, and lung cancer. It reviews the significance of nano drug delivery in cancer therapy, the application of nanoparticles in overcoming drug resistance, targeted therapy, and immunotherapy. The book also covers topics related to the synthesis of different types, shapes, and sizes of nanocarriers using synthetic and biological approaches. Further, a chapter explores the synthesis of nanocarriers loaded with anti-cancer drugs by using functionalization or conjugations and encapsulation methods. The book also examines the nanocarriers as delivery vehicles for chemotherapeutic agents against cancers using in vitro and animal models of cancers, preclinical trials for efficacy, and safety profiling of nanocarriers. Finally, future trends and innovation in nano drug delivery for cancer therapy, application of siRNA (nanoparticle-based RNA) therapy, ultrasound-linked nano-cancer therapeutics, and application of exosome-based cancer therapy topics are discussed. Towards the end, the book examines the limitations of nanocarriers, including the cell and tissue toxicity, genotoxicity, and scale-up of nanomaterials, health and environmental hazards associated with nanoformulation synthesis, respiratory diseases, government regulations, and ethical issues.

Disruptive Trends in Computer Aided Diagnosis

Author : Rik Das
Publisher : CRC Press
ISBN 13 : 1000414698
Total Pages : 219 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Disruptive Trends in Computer Aided Diagnosis by : Rik Das

Download or read book Disruptive Trends in Computer Aided Diagnosis written by Rik Das and published by CRC Press. This book was released on 2021-09-28 with total page 219 pages. Available in PDF, EPUB and Kindle. Book excerpt: Disruptive Trends in Computer Aided Diagnosis collates novel techniques and methodologies in the domain of content based image classification and deep learning/machine learning techniques to design efficient computer aided diagnosis architecture. It is aimed to highlight new challenges and probable solutions in the domain of computer aided diagnosis to leverage balancing of sustainable ecology. The volume focuses on designing efficient algorithms for proposing CAD systems to mitigate the challenges of critical illnesses at an early stage. State-of-the-art novel methods are explored for envisaging automated diagnosis systems thereby overriding the limitations due to lack of training data, sample annotation, region of interest identification, proper segmentation and so on. The assorted techniques addresses the challenges encountered in existing systems thereby facilitating accurate patient healthcare and diagnosis. Features: An integrated interdisciplinary approach to address complex computer aided diagnosis problems and limitations. Elucidates a rich summary of the state-of-the-art tools and techniques related to automated detection and diagnosis of life threatening diseases including pandemics. Machine learning and deep learning methodologies on evolving accurate and precise early detection and medical diagnosis systems. Information presented in an accessible way for students, researchers and medical practitioners. The volume would come to the benefit of both post-graduate students and aspiring researchers in the field of medical informatics, computer science and electronics and communication engineering. In addition, the volume is also intended to serve as a guiding factor for the medical practitioners and radiologists in accurate diagnosis of diseases.

Artificial Intelligence for COVID-19

Author : Diego Oliva
Publisher : Springer Nature
ISBN 13 : 3030697444
Total Pages : 594 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Artificial Intelligence for COVID-19 by : Diego Oliva

Download or read book Artificial Intelligence for COVID-19 written by Diego Oliva and published by Springer Nature. This book was released on 2021-07-19 with total page 594 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a compilation of the most recent implementation of artificial intelligence methods for solving different problems generated by the COVID-19. The problems addressed came from different fields and not only from medicine. The information contained in the book explores different areas of machine and deep learning, advanced image processing, computational intelligence, IoT, robotics and automation, optimization, mathematical modeling, neural networks, information technology, big data, data processing, data mining, and likewise. Moreover, the chapters include the theory and methodologies used to provide an overview of applying these tools to the useful contribution to help to face the emerging disaster. The book is primarily intended for researchers, decision makers, practitioners, and readers interested in these subject matters. The book is useful also as rich case studies and project proposals for postgraduate courses in those specializations.

Perspectives in digital health and big data in medicine: Current trends, professional challenges, and ethical, legal, and social implications

Download Perspectives in digital health and big data in medicine: Current trends, professional challenges, and ethical, legal, and social implications PDF Online Free

Author : João Valente Cordeiro
Publisher : Frontiers Media SA
ISBN 13 : 2832537049
Total Pages : 291 pages
Book Rating : 4.8/5 (325 download)

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Book Synopsis Perspectives in digital health and big data in medicine: Current trends, professional challenges, and ethical, legal, and social implications by : João Valente Cordeiro

Download or read book Perspectives in digital health and big data in medicine: Current trends, professional challenges, and ethical, legal, and social implications written by João Valente Cordeiro and published by Frontiers Media SA. This book was released on 2023-10-25 with total page 291 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Nature-Inspired Methods for Smart Healthcare Systems and Medical Data

Author : Ahmed M. Anter
Publisher : Springer Nature
ISBN 13 : 3031459520
Total Pages : 265 pages
Book Rating : 4.0/5 (314 download)

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Book Synopsis Nature-Inspired Methods for Smart Healthcare Systems and Medical Data by : Ahmed M. Anter

Download or read book Nature-Inspired Methods for Smart Healthcare Systems and Medical Data written by Ahmed M. Anter and published by Springer Nature. This book was released on 2024-01-02 with total page 265 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book aims to gather high-quality research papers on developing theories, frameworks, architectures, and algorithms for solving complex challenges in smart healthcare applications for real industry use. It explores the recent theoretical and practical applications of metaheuristics and optimization in various smart healthcare contexts. The book also discusses the capability of optimization techniques to obtain optimal parameters in ML and DL technologies. It provides an open platform for academics and engineers to share their unique ideas and investigate the potential convergence of existing systems and advanced metaheuristic algorithms. The book's outcome will enable decision-makers and practitioners to select suitable optimization approaches for scheduling patients in crowded environments with minimized human errors. The healthcare system aims to improve the lives of disabled, elderly, sick individuals, and children. IoT-based systems simplify decision-making and task automation, offering an automated foundation. Nature-inspired metaheuristics and mining algorithms are crucial for healthcare applications, reducing costs, increasing efficiency, enabling accurate data analysis, and enhancing patient care. Metaheuristics improve algorithm performance and address challenges in data mining and ML, making them essential in healthcare research. Real-time IoT-based healthcare systems can be modeled using an IoT-based metaheuristic approach to generate optimal solutions. Metaheuristics are powerful technologies for optimization problems in healthcare systems. They balance exact methods, which guarantee optimal solutions but require significant computational resources, with fast but low-quality greedy methods. Metaheuristic algorithms find better solutions while minimizing computational time. The scientific community is increasingly interested in metaheuristics, incorporating techniques from AI, operations research, and soft computing. New metaheuristics offer efficient ways to address optimization problems and tackle unsolved challenges. They can be parameterized to control performance and adjust the trade-off between solution quality and resource utilization. Metaheuristics manage the trade-off between performance and solution quality, making them highly applicable to real-time applications with pragmatic objectives.

Advancements in Climate and Smart Environment Technology

Author : Mabrouki, Jamal
Publisher : IGI Global
ISBN 13 :
Total Pages : 309 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis Advancements in Climate and Smart Environment Technology by : Mabrouki, Jamal

Download or read book Advancements in Climate and Smart Environment Technology written by Mabrouki, Jamal and published by IGI Global. This book was released on 2024-05-06 with total page 309 pages. Available in PDF, EPUB and Kindle. Book excerpt: The world faces escalating environmental and healthcare challenges, from climate change to managing natural resources and providing efficient medical services. These issues are complex, often requiring intricate modeling and intervention from domain experts. Traditional analytical methods need help to cope with the complexity and scale of these challenges, leading to inefficiencies and suboptimal outcomes. There is a pressing need for innovative solutions that can enhance our ability to address these issues effectively. Advancements in Climate and Smart Environment Technology present a compelling solution to these pressing problems. By leveraging the power of artificial intelligence (AI) techniques, we offer a path toward more efficient and effective solutions in environmental engineering, healthcare management, and natural resource conservation. AI provides the tools to model complex systems, optimize processes, and make informed decisions without constant expert intervention, thus revolutionizing these fields. This book is a comprehensive guide for scholars, researchers, and practitioners in various fields related to environmental and healthcare sciences. It explores the applications of AI in areas such as innovative environments, sustainable agriculture, climate change mitigation, and healthcare delivery.

Big data analytics for smart healthcare applications

Author : Celestine Iwendi
Publisher : Frontiers Media SA
ISBN 13 : 2832515754
Total Pages : 1365 pages
Book Rating : 4.8/5 (325 download)

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Book Synopsis Big data analytics for smart healthcare applications by : Celestine Iwendi

Download or read book Big data analytics for smart healthcare applications written by Celestine Iwendi and published by Frontiers Media SA. This book was released on 2023-04-17 with total page 1365 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Applied Genetic Algorithm and Its Variants

Author : Nilanjan Dey
Publisher : Springer Nature
ISBN 13 : 9819934281
Total Pages : 254 pages
Book Rating : 4.8/5 (199 download)

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Book Synopsis Applied Genetic Algorithm and Its Variants by : Nilanjan Dey

Download or read book Applied Genetic Algorithm and Its Variants written by Nilanjan Dey and published by Springer Nature. This book was released on 2023-07-01 with total page 254 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides fundamental concepts related to various types of genetic algorithms and practical applications in various domains such as medical imaging, manufacturing, and engineering design. The book discusses genetic algorithms which are used to solve a variety of optimization problems. The genetic algorithms are demonstrated to offer reliable search in complex spaces. The book presents high-quality research work by academics and researchers which is useful for young researchers and students.

Smart Healthcare Systems

Author : Adwitiya Sinha
Publisher : CRC Press
ISBN 13 : 0429670281
Total Pages : 329 pages
Book Rating : 4.4/5 (296 download)

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Book Synopsis Smart Healthcare Systems by : Adwitiya Sinha

Download or read book Smart Healthcare Systems written by Adwitiya Sinha and published by CRC Press. This book was released on 2019-07-24 with total page 329 pages. Available in PDF, EPUB and Kindle. Book excerpt: About the Book The book provides details of applying intelligent mining techniques for extracting and pre-processing medical data from various sources, for application-based healthcare research. Moreover, different datasets are used, thereby exploring real-world case studies related to medical informatics. This book would provide insight to the learners about Machine Learning, Data Analytics, and Sustainable Computing. Salient Features of the Book Exhaustive coverage of Data Analysis using R Real-life healthcare models for: Visually Impaired Disease Diagnosis and Treatment options Applications of Big Data and Deep Learning in Healthcare Drug Discovery Complete guide to learn the knowledge discovery process, build versatile real life healthcare applications Compare and analyze recent healthcare technologies and trends Target Audience This book is mainly targeted at researchers, undergraduate, postgraduate students, academicians, and scholars working in the area of data science and its application to health sciences. Also, the book is beneficial for engineers who are engaged in developing actual healthcare solutions.