Artificial Intelligence And Machine Learning For Womens Health Issues
Download Artificial Intelligence And Machine Learning For Womens Health Issues full books in PDF, epub, and Kindle. Read online free Artificial Intelligence And Machine Learning For Womens Health Issues ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
| Author | : Meenu Gupta |
| Publisher | : Elsevier |
| Total Pages | : 290 |
| Release | : 2024-04-26 |
| Genre | : Computers |
| ISBN | : 0443218900 |
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
| Author | : D. Jude Hemanth |
| Publisher | : CRC Press |
| Total Pages | : 251 |
| Release | : 2023-10-23 |
| Genre | : Medical |
| ISBN | : 100096468X |
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.
| Author | : Management Association, Information Resources |
| Publisher | : IGI Global |
| Total Pages | : 1101 |
| Release | : 2022-05-06 |
| Genre | : Health & Fitness |
| ISBN | : 1668463008 |
Reproductive health and rights are critical topics in today’s society as laws and policies are continuously debated and adjusted across the world. There are many different outlooks on these issues, and different countries have widely varying laws in place at present. In order to better understand where the world currently is regarding these pressing discussions, further study is needed on the status of women’s reproductive rights. The Research Anthology on Advancements in Women's Health and Reproductive Rights provides a thorough review of the current research available regarding reproductive health. The book discusses how various countries and regions are handling reproductive rights as well as current issues women face within their reproductive health journeys. Covering topics such as sexual health, gender, and pregnancy, this major reference work is ideal for nurses, government officials, policymakers, healthcare professionals, researchers, scholars, academicians, practitioners, instructors, and students.
| Author | : Lana McClements |
| Publisher | : Frontiers Media SA |
| Total Pages | : 192 |
| Release | : 2022-08-08 |
| Genre | : Science |
| ISBN | : 2889767388 |
| Author | : Utku Kose |
| Publisher | : CRC Press |
| Total Pages | : 251 |
| Release | : 2024-04-23 |
| Genre | : Medical |
| ISBN | : 1040020453 |
This book highlights the use of explainable artificial intelligence (XAI) for healthcare problems, in order to improve trustworthiness, performance and sustainability levels in the context of applications. Explainable Artificial Intelligence (XAI) in Healthcare adopts the understanding that AI solutions should not only have high accuracy performance, but also be transparent, understandable and reliable from the end user's perspective. The book discusses the techniques, frameworks, and tools to effectively implement XAI methodologies in critical problems of healthcare field. The authors offer different types of solutions, evaluation methods and metrics for XAI and reveal how the concept of explainability finds a response in target problem coverage. The authors examine the use of XAI in disease diagnosis, medical imaging, health tourism, precision medicine and even drug discovery. They also point out the importance of user perspectives and value of the data used in target problems. Finally, the authors also ensure a well-defined future perspective for advancing XAI in terms of healthcare. This book will offer great benefits to students at the undergraduate and graduate levels and researchers. The book will also be useful for industry professionals and clinicians who perform critical decision-making tasks.
| Author | : Russ B Altman |
| Publisher | : World Scientific |
| Total Pages | : 380 |
| Release | : 2020-11-24 |
| Genre | : Computers |
| ISBN | : 9811232717 |
The Pacific Symposium on Biocomputing (PSB) 2021 is an international, multidisciplinary conference for the presentation and discussion of current research in the theory and application of computational methods in problems of biological significance. Presentations are rigorously peer reviewed and are published in an archival proceedings volume. PSB 2021 will be held on a virtual platform at psb.stanford.edu/ on January 5-7, 2021. Tutorials and workshops will be offered prior to the start of the conference.PSB 2021 will bring together top researchers from the US, the Asian Pacific nations, and around the world to exchange research results and address open issues in all aspects of computational biology. It is a forum for the presentation of work in databases, algorithms, interfaces, visualization, modeling, and other computational methods, as applied to biological problems, with emphasis on applications in data-rich areas of molecular biology.The PSB has been designed to be responsive to the need for critical mass in sub-disciplines within biocomputing. For that reason, it is the only meeting whose sessions are defined dynamically each year in response to specific proposals. PSB sessions are organized by leaders of research in biocomputing's 'hot topics.' In this way, the meeting provides an early forum for serious examination of emerging methods and approaches in this rapidly changing field.
| Author | : Adam Bohr |
| Publisher | : Academic Press |
| Total Pages | : 385 |
| Release | : 2020-06-21 |
| Genre | : Computers |
| ISBN | : 0128184396 |
Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. - Highlights different data techniques in healthcare data analysis, including machine learning and data mining - Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks - Includes applications and case studies across all areas of AI in healthcare data
| Author | : Davide Cirillo |
| Publisher | : Academic Press |
| Total Pages | : 280 |
| Release | : 2022-05-21 |
| Genre | : Medical |
| ISBN | : 0128213930 |
Sex and Gender Bias in Technology and Artificial Intelligence: Biomedicine and Healthcare Applications details the integration of sex and gender as critical factors in innovative technologies (artificial intelligence, digital medicine, natural language processing, robotics) for biomedicine and healthcare applications. By systematically reviewing existing scientific literature, a multidisciplinary group of international experts analyze diverse aspects of the complex relationship between sex and gender, health and technology, providing a perspective overview of the pressing need of an ethically-informed science. The reader is guided through the latest implementations and insights in technological areas of accelerated growth, putting forward the neglected and overlooked aspects of sex and gender in biomedical research and healthcare solutions that leverage artificial intelligence, biosensors, and personalized medicine approaches to predict and prevent disease outcomes. The reader comes away with a critical understanding of this fundamental issue for the sake of better future technologies and more effective clinical approaches. - First comprehensive title addressing the topic of sex and gender biases and artificial intelligence applications to biomedical research and healthcare - Co-published by the Women's Brain Project, a leading non-profit organization in this area - Guides the reader through important topics like the Generation of Clinical Data, Clinical Trials, Big Data Analytics, Digital Biomarkers, Natural Language Processing
| Author | : Deitra Leonard Lowdermilk |
| Publisher | : Elsevier Health Sciences |
| Total Pages | : 911 |
| Release | : 2023-03-09 |
| Genre | : Medical |
| ISBN | : 0323811779 |
**Selected for Doody's Core Titles® 2024 with "Essential Purchase" designation in Maternal/Child** This comprehensive maternity book is now even better! Maternity and Women's Health Care, 13th Edition provides evidence-based coverage of everything you need to know about caring for women of childbearing age. In addition to emphasizing childbearing concerns like newborn care, it also addresses wellness promotion and management of women's health problems. In describing the continuum of care, it integrates the importance of understanding family, culture, and community-based care. New guidelines are incorporated with updated content throughout, focusing on prioritization of care and interprofessional care. - Expert authors of the market-leading maternity nursing textbook deliver the most accurate, up-to-date content. - Signs of Potential Complications highlight vital concerns, alerting you to signs and symptoms of complications and the immediate interventions to provide. - Cultural Considerations stress the importance of considering the beliefs and health practices of clients and their families from various cultures when providing care. - Medication Guides provide key information about commonly used medications with specific nursing implications. - Medication Alerts highlighted and integrated within the content alert readers to critical drug information that must be considered to provide safe client care. - Safety Alerts highlighted and integrated within the content draw attention to developing competencies related to safe nursing practice. - Nursing Care Plans identify priority client problems and concerns, along with appropriate interventions and rationales. - Community Activity boxes focus on maternal and newborn activities that can be pursued in local community settings and online and illustrate nursing care in a variety of settings, including assisting clients in locating resources. - Emergency boxes provide information about various emergency situations and offer a quick reference in critical situations. - Teaching for Self-Management boxes highlight important information that nurses need to communicate to clients and families for follow-up care.
| Author | : Moolchand Sharma |
| Publisher | : CRC Press |
| Total Pages | : 313 |
| Release | : 2023-12-20 |
| Genre | : Technology & Engineering |
| ISBN | : 100380876X |
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
