Combating Women S Health Issues With Machine Learning
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Combating Women S Health Issues With Machine Learning
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Author : D. Jude Hemanth
language : en
Publisher: CRC Press
Release Date : 2023-10-23
Combating Women S Health Issues With Machine Learning written by D. Jude Hemanth and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-23 with Medical categories.
The main focus of this book is the examination of women’s health issues and the role machine learning can play as a solution to these challenges. This book will illustrate advanced, innovative techniques/frameworks/concepts/machine learning methodologies, enhancing the future healthcare system. Combating Women’s Health Issues with Machine Learning: Challenges and Solutions examines the fundamental concepts and analysis of machine learning algorithms. The editors and authors of this book examine new approaches for different age-related medical issues that women face. Topics range from diagnosing diseases such as breast and ovarian cancer to using deep learning in prenatal ultrasound diagnosis. The authors also examine the best machine learning classifier for constructing the most accurate predictive model for women’s infertility risk. Among the topics discussed are gender differences in type 2 diabetes care and its management as it relates to gender using artificial intelligence. The book also discusses advanced techniques for evaluating and managing cardiovascular disease symptoms, which are more common in women but often overlooked or misdiagnosed by many healthcare providers. The book concludes by presenting future considerations and challenges in the field of women’s health using artificial intelligence. This book is intended for medical researchers, healthcare technicians, scientists, programmers and graduate-level students looking to understand better and develop applications of machine learning/deep learning in healthcare scenarios, especially concerning women’s health conditions.
Artificial Intelligence And Machine Learning For Women S Health Issues
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Author : Meenu Gupta
language : en
Publisher: Elsevier
Release Date : 2024-05-01
Artificial Intelligence And Machine Learning For Women S Health Issues written by Meenu Gupta and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-01 with Computers categories.
Artificial Intelligence and Machine Learning for Women’s Health Issues: Challenges, Impact, and Solutions discusses the applications, challenges, and solutions that machine learning can bring to women’s health challenges. This book illustrates advanced, innovative techniques, frameworks, concepts, and methodologies of machine learning, which enhance the future healthcare system. This book's primary focus is on women’s health issues and machine learning's role in providing solutions to these challenges, providing novel ideas for feasible implementation. It also provides an early-stage analysis for early diagnosis of women’s health issues. Provides fundamental concepts and analysis of machine learning algorithms used to aid in the diagnosis of women’s health issues Guides researchers to specific ideas, tools, and practices most applicable to product/service development, innovation problems, and opportunities Provides hands-on chapters that describe frameworks, applications, best practices, and case studies of future directions of applied machine learning in women’s healthcare
Artificial Intelligence And Machine Learning For Women S Health Issues
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Author : Meenu Gupta
language : en
Publisher: Academic Press
Release Date : 2024-05-01
Artificial Intelligence And Machine Learning For Women S Health Issues written by Meenu Gupta and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-01 with Computers categories.
Artificial Intelligence and Machine Learning for Women's Health Issues: Challenges, Impact, and Solutions discusses the applications, challenges, and solutions that machine learning can bring to women's health challenges. This book illustrates advanced, innovative techniques, frameworks, concepts, and methodologies of machine learning, which enhance the future healthcare system. This book's primary focus is on women's health issues and machine learning's role in providing solutions to these challenges, providing novel ideas for feasible implementation. It also provides an early-stage analysis for early diagnosis of women's health issues.
Soft Computing Techniques In Connected Healthcare Systems
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Author : Moolchand Sharma
language : en
Publisher: CRC Press
Release Date : 2023-12-20
Soft Computing Techniques In Connected Healthcare Systems written by Moolchand Sharma and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-20 with Technology & Engineering categories.
Provides applications of soft computing techniques related to healthcare systems, such as machine learning, fuzzy logic, and statistical mathematics, play in the advancements of smart healthcare systems Examine descriptive, predictive, and social network techniques and discusses analytical tools and the important role they play in enhancing the services to connected healthcare systems Addresses real-time challenges and case studies in the Healthcare industry Presents various soft computing methodologies like fuzzy logic, ANN, and Genetic Algorithms, to help decision making Focuses on data-centric operations in the Healthcare industry
Artificial Intelligence And Machine Learning In Public Healthcare
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Author : KC Santosh
language : en
Publisher: Springer Nature
Release Date : 2022-01-01
Artificial Intelligence And Machine Learning In Public Healthcare written by KC Santosh and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-01 with Technology & Engineering categories.
This book discusses and evaluates AI and machine learning (ML) algorithms in dealing with challenges that are primarily related to public health. It also helps find ways in which we can measure possible consequences and societal impacts by taking the following factors into account: open public health issues and common AI solutions (with multiple case studies, such as TB and SARS: COVID-19), AI in sustainable health care, AI in precision medicine and data privacy issues. Public health requires special attention as it drives economy and education system. COVID-19 is an example—a truly infectious disease outbreak. The vision of WHO is to create public health services that can deal with abovementioned crucial challenges by focusing on the following elements: health protection, disease prevention and health promotion. For these issues, in the big data analytics era, AI and ML tools/techniques have potential to improve public health (e.g., existing healthcare solutions and wellness services). In other words, they have proved to be valuable tools not only to analyze/diagnose pathology but also to accelerate decision-making procedure especially when we consider resource-constrained regions.
Computational Intelligence Techniques For Combating Covid 19
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Author : Sandeep Kautish
language : en
Publisher: Springer Nature
Release Date : 2021
Computational Intelligence Techniques For Combating Covid 19 written by Sandeep Kautish and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with Biomedical engineering categories.
This book presents the latest cutting edge research, theoretical methods, and novel applications in the field of computational intelligence and computational biological approaches that are aiming to combat COVID-19. The book gives the technological key drivers behind using AI to find drugs that target the virus, shedding light on the structure of COVID-19, detecting the outbreak and spread of new diseases, spotting signs of a COVID-19 infection in medical images, monitoring how the virus and lockdown is affecting mental health, and forecasting how COVID-19 cases and deaths will spread across cities and why. Further, the book helps readers understand computational intelligence techniques combating COVID-19 in a simple and systematic way. Provides a comprehensive reference covering innovations and development of theories, conceptual models and computational algorithms focused on COVID-19; Asserts all relevant research, key themes, complex adaptive systems, metrics and paradigms dedicated towards COVID-19, enabled with evolutionary methods of computational sciences; Explores how AI and computational techniques can help to predict which patients with the virus would go on to develop Acute Respiratory Distress Syndrome (ARDS).
Wearable Devices Surveillance Systems And Ai For Women S Wellbeing
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Author : Ponnusamy, Sivaram
language : en
Publisher: IGI Global
Release Date : 2024-03-25
Wearable Devices Surveillance Systems And Ai For Women S Wellbeing written by Ponnusamy, Sivaram and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-25 with Computers categories.
In a world where the safety of women remains a pressing issue, the intersection of artificial intelligence (AI) and emerging technologies is a motivating force. Despite strides toward gender equality, women continue to face threats, harassment, and violence, necessitating innovative solutions. Traditional approaches fall short of providing comprehensive protection, prompting the exploration of innovative technologies to address these challenges effectively. Wearable Devices, Surveillance Systems, and AI for Women's Wellbeing emerges as a timely and indispensable solution to the persistent safety issues faced by women globally. This persuasive book not only articulates the problems women encounter but also presents groundbreaking solutions that harness the transformative potential of AI. It delves into the intricate ways AI applications, from mobile safety apps to predictive analytics, can be strategically employed to create a safer and more inclusive society for women.
Healthcare Informatics For Fighting Covid 19 And Future Epidemics
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Author : Lalit Garg
language : en
Publisher: Springer Nature
Release Date : 2021-09-01
Healthcare Informatics For Fighting Covid 19 And Future Epidemics written by Lalit Garg and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-01 with Technology & Engineering categories.
This book presents innovative solutions utilising informatics to deal with various issues related to the COVID-19 outbreak. The book offers a collection of contemporary research and development on the management of Covid-19 using health data analytics, information exchange, knowledge sharing, the Internet of Things (IoT), and the Internet of Everything (IoE)-based solutions. The book also analyses the implementation, assessment, adoption, and management of these healthcare informatics solutions to manage the pandemic and future epidemics. The book is relevant to researchers, professors, students, and professionals in informatics and related topics.
Intelligent Systems And Methods To Combat Covid 19
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Author : Amit Joshi
language : en
Publisher: Springer Nature
Release Date : 2020-08-26
Intelligent Systems And Methods To Combat Covid 19 written by Amit Joshi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08-26 with Technology & Engineering categories.
This book discusses intelligent systems and methods to prevent further spread of COVID-19, including artificial intelligence, machine learning, computer vision, signal processing, pattern recognition, and robotics. It not only explores detection/screening of COVID-19 positive cases using one type of data, such as radiological imaging data, but also examines how data analytics-based tools can help predict/project future pandemics. In addition, it highlights various challenges and opportunities, like social distancing, and addresses issues such as data collection, privacy, and security, which affect the robustness of AI-driven tools. Also investigating data-analytics-based tools for projections using time series data, pattern analysis tools for unusual pattern discovery (anomaly detection) in image data, as well as AI-enabled robotics and its possible uses, the book will appeal to a broad readership, including academics, researchers and industry professionals.
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.