Machine Learning And Data Analytics For Predicting Managing And Monitoring Disease
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Machine Learning And Data Analytics For Predicting Managing And Monitoring Disease
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Author : Roy, Manikant
language : en
Publisher: IGI Global
Release Date : 2021-06-25
Machine Learning And Data Analytics For Predicting Managing And Monitoring Disease written by Roy, Manikant and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-25 with Computers categories.
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.
Contributions Presented At The International Conference On Computing Communication Cybersecurity And Ai July 3 4 2024 London Uk
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Author : Nitin Naik
language : en
Publisher: Springer Nature
Release Date : 2024-12-19
Contributions Presented At The International Conference On Computing Communication Cybersecurity And Ai July 3 4 2024 London Uk written by Nitin Naik and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-19 with Computers categories.
This book offers an in-depth exploration of cutting-edge research across the interconnected fields of computing, communication, cybersecurity, and artificial intelligence. It serves as a comprehensive guide to the technologies shaping our digital world, providing both a profound understanding of these domains and practical strategies for addressing their challenges. The content is drawn from the International Conference on Computing, Communication, Cybersecurity and AI (C3AI 2024), held in London, UK, from July 3 to 4, 2024. The conference attracted 66 submissions from 17 countries, including the USA, UK, Canada, Brazil, India, China, Germany, and Spain. Of these, 47 high-calibre papers were rigorously selected through a meticulous review process, where each paper received three to four reviews to ensure quality and relevance. This book is an essential resource for readers seeking a thorough and timely review of the latest advancements and trends in computing, communication, cybersecurity, and artificial intelligence.
Implementation Of Machine Learning Algorithms Using Control Flow And Dataflow Paradigms
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Author : Milutinović, Veljko
language : en
Publisher: IGI Global
Release Date : 2022-03-11
Implementation Of Machine Learning Algorithms Using Control Flow And Dataflow Paradigms written by Milutinović, Veljko and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-11 with Computers categories.
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.
Artificial Intelligence And Bioethics
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Author : Luiz Vianna Sobrinho
language : en
Publisher: CRC Press
Release Date : 2025-05-13
Artificial Intelligence And Bioethics written by Luiz Vianna Sobrinho and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-13 with Business & Economics categories.
The fourth industrial revolution challenges humanity ethically and morally: mass unemployment, new forms of colonialism, and mass-and-granular surveillance are a few examples of these challenges. Nevertheless, the industrial revolutions have increased human productivity and quality of life. This book aims to review the ethical challenges related to the use of these technologies. It unfolds bioethical perspectives regarding Artificial Intelligence (AI) and its impact on life on earth. It discusses both northern and southern epistemologies of bioethics. Northern bioethics comprises principles of autonomy, beneficence, non-maleficence, and justice. Southern bioethics gives weightage to struggles for human liberation, social justice, and the pluralism of knowledge. The book discusses topics from aging to mass surveillance, to deliver a universal bioethical guideline to a wide range of professions that work with AI and are concerned about its impact on life. This book will not label AI, but broaden the readers' view of an ethical and explainable AI that works for life on earth.
Machine And Deep Learning Solutions For Achieving The Sustainable Development Goals
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Author : Ruiz-Vanoye, Jorge A.
language : en
Publisher: IGI Global
Release Date : 2025-03-07
Machine And Deep Learning Solutions For Achieving The Sustainable Development Goals written by Ruiz-Vanoye, Jorge A. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-07 with Computers categories.
Achieving the United Nations' Sustainable Development Goals (SDGs) requires innovative solutions that address global challenges such as climate change, poverty, and social inequality. Artificial intelligence (AI), machine learning, and data-driven technologies offer transformative potential by optimizing resource management, improving healthcare outcomes, and enhancing decision-making processes. However, integrating AI into sustainable development efforts presents ethical, technical, and policy-related challenges that must be carefully navigated. A multidisciplinary approach is essential to ensure these technologies are applied inclusively and responsibly, maximizing their positive societal impact. Machine and Deep Learning Solutions for Achieving the Sustainable Development Goals enhances understanding and application of machine learning, deep learning, data mining and AI technologies in the context of the SDGs. It fills the gap by linking theory and practice and addresses both the opportunities and challenges inherent in this intersection. Covering topics such as demand side management, agricultural productivity, and smart manufacturing, this book is an excellent resource for engineers, computer scientists, practitioners, policymakers, professionals, researchers, scholars, academicians, and more.
Digitalization And The Transformation Of The Healthcare Sector
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Author : Wickramasinghe, Nilmini
language : en
Publisher: IGI Global
Release Date : 2024-11-27
Digitalization And The Transformation Of The Healthcare Sector written by Wickramasinghe, Nilmini and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-27 with Business & Economics categories.
Healthcare delivery today is plagued with numerous challenges such as escalating costs, an aging population with a longer life expectancy, rapid increases in chronic conditions, and more. To address this and deliver a healthcare value proposition of better quality, access, and value to all, it is vital to look to advances in digital solutions. Rapid advances in technology enable the possibility of delivering tailored, personalized, and precise care. This leads to ensuring optimal clinical resources, timely as well as effective, efficient and efficacious care, happier patients, a smarter and supported clinical workforce, and a healthier community. Digitalization and the Transformation of the Healthcare Sector provides a compilation of critical aspects that collectively serve to underscore the potential digital technologies advances can bring to healthcare delivery. It discusses the potential of e-health and lays out a clear road map and vision for achieving high quality, high value care for all. Covering topics such as 5G technology, metaverse, and telemedicine, this book is an excellent resource for researchers, academicians, clinicians, allied health workers, managers in healthcare, policymakers, graduate and postgraduate students, and more.
Bio Inspired Algorithms And Devices For Treatment Of Cognitive Diseases Using Future Technologies
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Author : Gupta, Shweta
language : en
Publisher: IGI Global
Release Date : 2022-02-11
Bio Inspired Algorithms And Devices For Treatment Of Cognitive Diseases Using Future Technologies written by Gupta, Shweta and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-11 with Technology & Engineering categories.
As there are no proper medical tests available to predict certain diseases such as Alzheimer’s and Parkinson’s at an early stage, there is a need to further study and consider the potential uses of bio- and nature-inspired algorithms and future technologies such as machine learning in correlation to disease detection and treatment. Bio-Inspired Algorithms and Devices for Treatment of Cognitive Diseases Using Future Technologies considers new tools for early detection of cognitive brain diseases using devices and algorithms whose basic concept is taken from nature and discusses design, analysis, and application of various bionics or bio-inspired algorithms. Covering topics such as depression and cognitive science, this publication is an ideal resource for researchers, academicians, industry professionals, psychologists, psychiatrists, nurses, engineers, instructors, and students.
Healthcare Management
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Author : Alan Gillies
language : en
Publisher: Taylor & Francis
Release Date : 2024-12-10
Healthcare Management written by Alan Gillies and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-10 with Business & Economics categories.
Healthcare Management takes a look at international perspectives in healthcare management and the way regional priorities, national income, and social factors are crucial to effective healthcare services. Readers are provided the skills to address issues and solve problems as a healthcare manager by understanding and appreciating the complex interrelationships of global health provision. The book compares and contrasts different healthcare systems, examining the role of policymaking, health financing, healthcare beyond hospitals, leadership, risk management, and quality. A range of international case studies provide the opportunity to see how different theories work in practice. This comprehensive book is suitable for students and professionals undertaking healthcare management courses.
Intelligent Techniques For Predictive Data Analytics
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Author : Neha Singh
language : en
Publisher: John Wiley & Sons
Release Date : 2024-07-30
Intelligent Techniques For Predictive Data Analytics written by Neha Singh and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-30 with Computers categories.
Comprehensive resource covering tools and techniques used for predictive analytics with practical applications across various industries Intelligent Techniques for Predictive Data Analytics provides an in-depth introduction of the tools and techniques used for predictive analytics, covering applications in cyber security, network security, data mining, and machine learning across various industries. Each chapter offers a brief introduction on the subject to make the text accessible regardless of background knowledge. Readers will gain a clear understanding of how to use data processing, classification, and analysis to support strategic decisions, such as optimizing marketing strategies and customer relationship management and recommendation systems, improving general business operations, and predicting occurrence of chronic diseases for better patient management. Traditional data analytics uses dashboards to illustrate trends and outliers, but with large data sets, this process is labor-intensive and time-consuming. This book provides everything readers need to save time by performing deep, efficient analysis without human bias and time constraints. A section on current challenges in the field is also included. Intelligent Techniques for Predictive Data Analytics covers sample topics such as: Models to choose from in predictive modeling, including classification, clustering, forecast, outlier, and time series models Price forecasting, quality optimization, and insect and disease plant and monitoring in agriculture Fraud detection and prevention, credit scoring, financial planning, and customer analytics Big data in smart grids, smart grid analytics, and predictive smart grid quality monitoring, maintenance, and load forecasting Management of uncertainty in predictive data analytics and probable future developments in the field Intelligent Techniques for Predictive Data Analytics is an essential resource on the subject for professionals and researchers working in data science or data management seeking to understand the different models of predictive analytics, along with graduate students studying data science courses and professionals and academics new to the field.
Ai Model Design And Data Management For Disease Prediction
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Author : Muniasamy, Anandhavalli
language : en
Publisher: IGI Global
Release Date : 2025-07-09
Ai Model Design And Data Management For Disease Prediction written by Muniasamy, Anandhavalli and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-09 with Medical categories.
The design of artificial intelligence (AI) models for disease prediction advances fields that combine medical expertise, data science, and computational power to improve diagnostic accuracy and patient outcomes. The design of predictive models is central to this process, tailored to analyze complex healthcare data. Effective data management in healthcare involves the collection, integration, and storage of high-quality clinical and biomedical datasets. Ensuring data privacy and addressing biases are challenges that must be navigated to develop reliable and ethical AI systems. Thoughtful model design and effective data management strategies may ensure earlier detection, personalized treatment, and better resource allocation in modern healthcare systems. AI Model Design and Data Management for Disease Prediction explores the integration of intelligent technologies into medical prediction and diagnosis. It examines the usage of AI for enhanced healthcare data management. This book covers topics such as data science, medical imaging, and prediction models, and is a useful resource for computer engineers, medical professionals, academicians, researchers, and data scientists.