Описание: As an African woman leader who has grown up on the African soil, Joyce Banda, Malawi`s first female president and Africa`s second, has seen firsthand how young rural girls face obstacles in areas that are critical in shaping their future. This book makes the case of how gender interventions should and can be started from day one. For we cannot to leave any girl behind.
Описание: This book focuses on contemporary technologies and research in computational intelligence that has reached the practical level and is now accessible in preclinical and clinical settings. This book's principal objective is to thoroughly understand significant technological breakthroughs and research results in predictive modeling in healthcare imaging and data analysis. Machine learning and deep learning could be used to fully automate the diagnosis and prognosis of patients in medical fields. The healthcare industry's emphasis has evolved from a clinical-centric to a patient-centric model. However, it is still facing several technical, computational, and ethical challenges. Big data analytics in health care is becoming a revolution in technical as well as societal well-being viewpoints. Moreover, in this age of big data, there is increased access to massive amounts of regularly gathered data from the healthcare industry that has necessitated the development of predictive models and automated solutions for the early identification of critical and chronic illnesses. The book contains high-quality, original work that will assist readers in realizing novel applications and contexts for deep learning architectures and algorithms, making it an indispensable reference guide for academic researchers, professionals, industrial software engineers, and innovative model developers in healthcare industry.
Описание: This book focuses on contemporary technologies and research in computational intelligence that has reached the practical level and is now accessible in preclinical and clinical settings. This book's principal objective is to thoroughly understand significant technological breakthroughs and research results in predictive modeling in healthcare imaging and data analysis. Machine learning and deep learning could be used to fully automate the diagnosis and prognosis of patients in medical fields. The healthcare industry's emphasis has evolved from a clinical-centric to a patient-centric model. However, it is still facing several technical, computational, and ethical challenges. Big data analytics in health care is becoming a revolution in technical as well as societal well-being viewpoints. Moreover, in this age of big data, there is increased access to massive amounts of regularly gathered data from the healthcare industry that has necessitated the development of predictive models and automated solutions for the early identification of critical and chronic illnesses. The book contains high-quality, original work that will assist readers in realizing novel applications and contexts for deep learning architectures and algorithms, making it an indispensable reference guide for academic researchers, professionals, industrial software engineers, and innovative model developers in healthcare industry.
Автор: Graham Martin, Mary Dixon-Woods Название: Collaboration-Based Approaches ISBN: 1009236822 ISBN-13(EAN): 9781009236829 Издательство: Cambridge Academ Рейтинг: Цена: 2851.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Explores the evidence for collaboration-based approaches to improving healthcare, focusing on quality improvement collaboratives and communities of practice. This title is also available as Open Access on Cambridge Core.
Автор: Antonio Jose Marques, Ricardo Alexandre Peixoto de Queiros Название: Handbook of Research on Solving Modern Healthcare Challenges With Gamification ISBN: 1799874729 ISBN-13(EAN): 9781799874720 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 67637.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: While many fields such as e-learning, business, and marketing have taken advantage of the potential of gamification, the healthcare domain has just started to exploit this emerging trend, still in an ad-hoc fashion. Despite the huge potential of applying gamification on several topics of healthcare, there are scarce theoretical studies regarding methodologies, techniques, specifications, and frameworks. These applications must be examined further as they can be used to solve major healthcare-related challenges such as care plan maintenance, medication adherence, phobias treatment, or patient education.
Handbook of Research on Solving Modern Healthcare Challenges With Gamification aims to share new approaches and methodologies to build e-health solutions using gamification and identifies new trends on this topic from pedagogical strategies to technological approaches. This book serves as a collection of knowledge that builds the theoretical foundations that can be helpful in creating sustainable e-health solutions in the future. While covering topics such as augmented and virtual reality, ethical issues in gamification, e-learning, telehealth services, and digital applications, this book is essential for research scholars, healthcare/computer science teachers and students pursuing healthcare/computer science-related subjects, enterprise developers, practitioners, researchers, academicians, and students interested in the latest developments and research solving healthcare challenges with modern e-health solutions using gamification.
Автор: Chengliang, Yang, Chengliang, Название: Data driven approaches for healthcare high utilizers / ISBN: 0367342901 ISBN-13(EAN): 9780367342906 Издательство: Taylor&Francis Рейтинг: Цена: 24499.00 р. Наличие на складе: Поставка под заказ.
Описание: This book presents data driven methods, especially machine learning, for understanding and approaching the high utilizers problem, using the example of a large public insurance program. It describes important goals for data driven approaches from different aspects of the high utilizer problem, and identifies challenges posed by this problem.
Описание: A combination of several technological, healthcare and financial factors are driving this trend to create a new healthcare model that stresses preventative `health-care` rather than `sick-care`, and a shift from volume to value.
Автор: Mutingi, Michael , Mbohwa, Charles Название: Healthcare Staff Scheduling ISBN: 0367377438 ISBN-13(EAN): 9780367377434 Издательство: Taylor&Francis Рейтинг: Цена: 10104.00 р. Наличие на складе: Поставка под заказ.
Описание:
Healthcare operations, in hospitals and home healthcare settings, are inundated with complex fuzzy features that impose difficulties in the creation of work schedules. As healthcare workers call for schedules that accommodate their individual preferences and patients continue to call for more personalized healthcare, further research into multi-criteria solution approaches to staff scheduling is imperative.
Healthcare Staff Scheduling: Emerging Fuzzy Optimization Approaches presents in-depth research into emerging approaches to healthcare staff scheduling. It starts by reviewing the key issues and challenges inherent in staff scheduling, along with the basic concepts of fuzzy set theory. Examining research applications in healthcare staff scheduling, it details promising fuzzy optimization algorithms derived from biologically inspired approaches and fuzzy theory. Providing researchers, operations analysts, scientists, and practitioners with a practical and in-depth understanding of modern fuzzy metaheuristic optimization approaches, the book presents cutting-edge research on multi-criteria algorithms and their applications in healthcare operations, particularly in staff scheduling. The book illustrates flexible techniques for solving complex scheduling problems that account for the variability that results from imprecise human preferences. Covering recent developments in the methods utilized to create high-quality staff schedules, it includes many instructive examples of healthcare schedule problems along with potential solutions. Considering avenues for future research, this book will help readers pave the way to new and improved methods for solving staff scheduling problems that are difficult to evaluate quantitatively due to imprecision, fuzziness, and vagueness. To promote the quality of the work presented, all chapters in this book have been rigorously reviewed by leading international experts and researche
Описание: In practical health care cases, semi-structured and unstructured decision-making issues involve multiple criteria (or goals) that may conflict with each other. Thus, the use of MCDM is a promising source of practical solutions for such problems.
Автор: Christina Pagel, Martin Utley, Sonya Crowe Название: Operational Research Approaches ISBN: 1009236970 ISBN-13(EAN): 9781009236973 Издательство: Cambridge Academ Рейтинг: Цена: 2851.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This Element describes key concepts and common approaches in operational research, and explores its potential to help analyse and improve healthcare services. This title is also available as Open Access on Cambridge Core.
Автор: Akash Kumar Bhoi, Ranjit Panigrahi, Rutvij H. Jhaveri, Victor, Hugo C. de Albuquerque Название: Healthcare Big Data Analytics: Computational Optimization and Cohesive Approaches ISBN: 3110750732 ISBN-13(EAN): 9783110750737 Издательство: Walter de Gruyter Рейтинг: Цена: 32533.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
This book highlights how optimized big data applications can be used for patient monitoring and clinical diagnosis. In fact, IoT based applications are data driven and mostly employs modern optimization techniques. This book also explores challenges, opportunities, and future research directions, and discusses the data collection and pre-processing stages, challenges and issues in data collection, data handling, and data collection set-up.
Автор: Cant, Monica Название: Networking technologies in smart healthcare ISBN: 1032145455 ISBN-13(EAN): 9781032145457 Издательство: Taylor&Francis Рейтинг: Цена: 23734.00 р. Наличие на складе: Поставка под заказ.
Описание: This text provides novel smart network systems, wireless telecommunications infrastructures, and computing capabilities to help healthcare systems using computing techniques like IoT, cloud computing, machine and deep learning Big Data along with smart wireless networks. It discusses important topics, including robotics manipulation and analysis in smart healthcare industries, smart telemedicine framework using machine learning and deep learning, role of UAV and drones in smart hospitals, virtual reality based on 5G/6G and augmented reality in healthcare systems, data privacy and security, nanomedicine, and cloud-based artificial intelligence in healthcare systems.The book:• Discusses intelligent computing through IoT and Big Data in secure and smart healthcare systems.• Covers algorithms, including deterministic algorithms, randomized algorithms, iterative algorithms, and recursive algorithms.• Discusses remote sensing devices in hospitals and local health facilities for patient evaluation and care.• Covers wearable technology applications such as weight control and physical activity tracking for disease prevention and smart healthcare.This book will be useful for senior undergraduate, graduate students, and academic researchers in areas such as electrical engineering, electronics and communication engineering, computer science, and information technology. Discussing concepts of smart networks, advanced wireless communication, and technologies in setting up smart healthcare services, this text will be useful for senior undergraduate, graduate students, and academic researchers in areas such as electrical engineering, electronics and communication engineering, computer science, and information technology. It covers internet of things (IoT) implementation and challenges in healthcare industries, wireless network, and communication-based optimization algorithms for smart healthcare devices.
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