Intelligent Modeling Prediction And Diagnosis From Epidemiological Data

Download Intelligent Modeling Prediction And Diagnosis From Epidemiological Data full books in PDF, epub, and Kindle. Read online Intelligent Modeling Prediction And Diagnosis From Epidemiological Data ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

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)

DOWNLOAD NOW!

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"--

Intelligent Modeling, Prediction, and Diagnosis from Epidemiological Data

Author : Siddhartha Bhattacharyya
Publisher : CRC Press
ISBN 13 : 1000474704
Total Pages : 232 pages
Book Rating : 4.0/5 (4 download)

DOWNLOAD NOW!

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 232 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)

DOWNLOAD NOW!

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.

Building a Platform for Data-Driven Pandemic Prediction

Author : Dani Gamerman
Publisher : CRC Press
ISBN 13 : 1000457192
Total Pages : 382 pages
Book Rating : 4.0/5 (4 download)

DOWNLOAD NOW!

Book Synopsis Building a Platform for Data-Driven Pandemic Prediction by : Dani Gamerman

Download or read book Building a Platform for Data-Driven Pandemic Prediction written by Dani Gamerman and published by CRC Press. This book was released on 2021-09-13 with total page 382 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is about building platforms for pandemic prediction. It provides an overview of probabilistic prediction for pandemic modeling based on a data-driven approach. It also provides guidance on building platforms with currently available technology using tools such as R, Shiny, and interactive plotting programs. The focus is on the integration of statistics and computing tools rather than on an in-depth analysis of all possibilities on each side. Readers can follow different reading paths through the book, depending on their needs. The book is meant as a basis for further investigation of statistical modelling, implementation tools, monitoring aspects, and software functionalities. Features: A general but parsimonious class of models to perform statistical prediction for epidemics, using a Bayesian approach Implementation of automated routines to obtain daily prediction results How to interactively visualize the model results Strategies for monitoring the performance of the predictions and identifying potential issues in the results Discusses the many decisions required to develop and publish online platforms Supplemented by an R package and its specific functionalities to model epidemic outbreaks The book is geared towards practitioners with an interest in the development and presentation of results in an online platform of statistical analysis of epidemiological data. The primary audience includes applied statisticians, biostatisticians, computer scientists, epidemiologists, and professionals interested in learning more about epidemic modelling in general, including the COVID-19 pandemic, and platform building. The authors are professors at the Statistics Department at Universidade Federal de Minas Gerais. Their research records exhibit contributions applied to a number of areas of Science, including Epidemiology. Their research activities include books published with Chapman and Hall/CRC and papers in high quality journals. They have also been involved with academic management of graduate programs in Statistics and one of them is currently the President of the Brazilian Statistical Association.

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)

DOWNLOAD NOW!

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)

DOWNLOAD NOW!

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)

DOWNLOAD NOW!

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)

DOWNLOAD NOW!

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.

Computational Intelligence for Managing Pandemics

Author : Aditya Khamparia
Publisher : Walter de Gruyter GmbH & Co KG
ISBN 13 : 311071227X
Total Pages : 394 pages
Book Rating : 4.1/5 (17 download)

DOWNLOAD NOW!

Book Synopsis Computational Intelligence for Managing Pandemics by : Aditya Khamparia

Download or read book Computational Intelligence for Managing Pandemics written by Aditya Khamparia and published by Walter de Gruyter GmbH & Co KG. This book was released on 2021-09-07 with total page 394 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book uncovers the stakes and possibilities of handling pandemic diseases with the help of Computational Intelligence, using cases and applications from the current Covid-19 pandemic. The book chapters will focus on the application of CI and its related fields in managing different aspects of Covid-19, including modelling of the disease spread, data-driven prediction, identification of disease hotspots, and medical decision support.

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)

DOWNLOAD NOW!

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.

Intelligent Computing Applications for COVID-19

Author : AR Khan
Publisher :
ISBN 13 : 9780367692483
Total Pages : pages
Book Rating : 4.6/5 (924 download)

DOWNLOAD NOW!

Book Synopsis Intelligent Computing Applications for COVID-19 by : AR Khan

Download or read book Intelligent Computing Applications for COVID-19 written by AR Khan and published by . This book was released on 2021 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: "Accurate estimation, diagnosis, and prevention of COVID-19 is a global challenge for healthcare organizations. Innovative measures can introduce and implement AI, and Mathematical Modeling applications. This book provides insight into the recent advances of applications, statistical methods, and mathematical modeling for the healthcare industry. This book covers the state-of-the-art applications of AI and Machine Learning in past epidemics, pandemics, and COVID-19. It offers recent global case studies, and discusses how AI and statistical methods, initiatives, and applications such as Machine Learning, Deep Learning, Correlation and Regression Analysis play a major role in the prediction, diagnosis, and prevention of a pandemic. It will also focus on how AI and statistical applications can facilitate and restructure the healthcare system. This book is written for Researchers, Students, Professionals, Executives, and the general public"--

Computational Epidemiology

Author : Ellen Kuhl
Publisher : Springer Nature
ISBN 13 : 3030828905
Total Pages : 312 pages
Book Rating : 4.0/5 (38 download)

DOWNLOAD NOW!

Book Synopsis Computational Epidemiology by : Ellen Kuhl

Download or read book Computational Epidemiology written by Ellen Kuhl and published by Springer Nature. This book was released on 2021-09-22 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: This innovative textbook brings together modern concepts in mathematical epidemiology, computational modeling, physics-based simulation, data science, and machine learning to understand one of the most significant problems of our current time, the outbreak dynamics and outbreak control of COVID-19. It teaches the relevant tools to model and simulate nonlinear dynamic systems in view of a global pandemic that is acutely relevant to human health. If you are a student, educator, basic scientist, or medical researcher in the natural or social sciences, or someone passionate about big data and human health: This book is for you! It serves as a textbook for undergraduates and graduate students, and a monograph for researchers and scientists. It can be used in the mathematical life sciences suitable for courses in applied mathematics, biomedical engineering, biostatistics, computer science, data science, epidemiology, health sciences, machine learning, mathematical biology, numerical methods, and probabilistic programming. This book is a personal reflection on the role of data-driven modeling during the COVID-19 pandemic, motivated by the curiosity to understand it.

Applications of Epidemiological Models to Public Health Policymaking

Author : Zhilan Feng
Publisher : World Scientific
ISBN 13 : 981452235X
Total Pages : 306 pages
Book Rating : 4.8/5 (145 download)

DOWNLOAD NOW!

Book Synopsis Applications of Epidemiological Models to Public Health Policymaking by : Zhilan Feng

Download or read book Applications of Epidemiological Models to Public Health Policymaking written by Zhilan Feng and published by World Scientific. This book was released on 2014 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mathematical models can be very helpful to understand the transmission dynamics of infectious diseases. This book presents examples of epidemiological models and modeling tools that can assist policymakers to assess and evaluate disease control strategies. Contents: Development and Analysis of Models for Infectious Diseases; Application of Models to Real Disease Data; User-Friendly Modeling Tools for Public Health Policymakers. Readership: Researchers in mathematical biology, mathematical modeling, infectious diseases and complex systems.

Data Analytics for Pandemics

Author : Gitanjali Rahul Shinde
Publisher : CRC Press
ISBN 13 : 1000204413
Total Pages : 85 pages
Book Rating : 4.0/5 (2 download)

DOWNLOAD NOW!

Book Synopsis Data Analytics for Pandemics by : Gitanjali Rahul Shinde

Download or read book Data Analytics for Pandemics written by Gitanjali Rahul Shinde and published by CRC Press. This book was released on 2020-08-30 with total page 85 pages. Available in PDF, EPUB and Kindle. Book excerpt: Epidemic trend analysis, timeline progression, prediction, and recommendation are critical for initiating effective public health control strategies, and AI and data analytics play an important role in epidemiology, diagnostic, and clinical fronts. The focus of this book is data analytics for COVID-19, which includes an overview of COVID-19 in terms of epidemic/pandemic, data processing and knowledge extraction. Data sources, storage and platforms are discussed along with discussions on data models, their performance, different big data techniques, tools and technologies. This book also addresses the challenges in applying analytics to pandemic scenarios, case studies and control strategies. Aimed at Data Analysts, Epidemiologists and associated researchers, this book: discusses challenges of AI model for big data analytics in pandemic scenarios; explains how different big data analytics techniques can be implemented; provides a set of recommendations to minimize infection rate of COVID-19; summarizes various techniques of data processing and knowledge extraction; enables users to understand big data analytics techniques required for prediction purposes.

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)

DOWNLOAD NOW!

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: 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.

COVID-19: Prediction, Decision-Making, and its Impacts

Author : K.C. Santosh
Publisher : Springer Nature
ISBN 13 : 9811596824
Total Pages : 137 pages
Book Rating : 4.8/5 (115 download)

DOWNLOAD NOW!

Book Synopsis COVID-19: Prediction, Decision-Making, and its Impacts by : K.C. Santosh

Download or read book COVID-19: Prediction, Decision-Making, and its Impacts written by K.C. Santosh and published by Springer Nature. This book was released on 2020-12-11 with total page 137 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book aims to outline the issues of AI and COVID-19, involving predictions,medical support decision-making, and possible impact on human life. Starting withmajor COVID-19 issues and challenges, it takes possible AI-based solutions forseveral problems, such as public health surveillance, early (epidemic) prediction,COVID-19 positive case detection, and robotics integration against COVID-19.Beside mathematical modeling, it includes the necessity of changes in innovationsand possible COVID-19 impacts. The book covers a clear understanding of AI-driven tools and techniques, where pattern recognition, anomaly detection, machinelearning, and data analytics are considered. It aims to include the wide range ofaudiences from computer science and engineering to healthcare professionals.

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)

DOWNLOAD NOW!

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: