Finally, a concise pocket guide designed as a quick reference for busy clinicians who seek to improve the care they provide to cancer patients and cancer survivors. It is a comprehensive text formatted for fast access to a wide range of clinical information. This compact compendium is conveniently organized by cancer type for rapid review. It describes the many issues that cancer patients may face throughout the chronologic spectrum of care, starting from cancer diagnosis, to treatment, and survivorship.
Each chapter helpfully highlights common impairments and treatment options using succinct tables, helpful illustrations and clinical peals from experts in the field. In addition, each chapter contains a clinical case and questions on the material to enhance understanding. Evidence for exercise treatment, including pertinent exercise precautions, is included, as are innovative research topics and emerging treatments. This includes dedicated chapters covering cancers of the breast; digestive organs; brain, eye, and central nervous system; urinary tract and genital organs; lip, oral cavity, and pharynx; lymphoid, hematopoietic, and related tissues; bone, articular cartilage, and soft tissues; respiratory and intrathoracic organs; skin.
Thankfully, advances in cancer care such as chemotherapy, radiation, and surgery mean that more people than ever before are surviving long after their cancer diagnosis. Unfortunately, a large fraction of them live with at least one serious impairment as a consequence of their treatments that seriously impacts their ability to function and quality of life. This concise and essential guide to cancer rehabilitation will help the clinician navigate the care of this often complex population.
This book focuses on methods and tools for intelligent data analysis, aimed at narrowing the increasing gap between data gathering and data comprehension, and emphasis will also be given to solving of problems which result from automated data collection, such as analysis of computer-based patient records, data warehousing tools, intelligent alarming, effective and efficient monitoring, and so on. This book aims to describe the different approaches of Intelligent Data Analysis from a practical point of view: solving common life problems with data analysis tools.
This book presents the augmented reality (AR) and virtual reality (VR) automotive applications. It unites automobile with a leading technology i.e. augmented and virtual reality and uses the advantages of the latter to solve the problems faced by the former. The book highlights the reasons for the growing abundance and complexity in this sector. Virtual and augmented reality presents a powerful engineering tool that finds application in various engineering fields. It brings new possibilities that result is increasing of productivity and reliability of production, quality of products and processes. The book further illustrates the possible challenges in its applications and suggests ways to overcome them. The book includes nine chapters focusing on automobile collision avoidance, self-driving cars, autonomous vehicles, navigation systems, and many more applications.
The book discusses Explainable (XAI) and Responsive Artificial Intelligence (RAI) for biomedical and healthcare applications. It will discuss the advantages in dealing with big and complex data by using explainable AI concepts in the field of biomedical sciences. The book explains both positive as well as negative findings obtained by explainable AI techniques. It features real time experiences by physicians and medical staff for applied deep learning based solutions. The book will be extremely useful for researchers and practitioners in advancing their studies.
This book includes selected peer-reviewed papers presented at the International Conference on Computing and Communication Networks (ICCCN 2021), held at Manchester Metropolitan University, United Kingdom, during 19-20 November 2021. The book covers topics of network and computing technologies, artificial intelligence and machine learning, security and privacy, communication systems, cyber physical systems, data analytics, cyber security for Industry 4.0, and smart and sustainable environmental systems.
This book brings together the latest research in smart sensors technology and exposes the reader to myriad industrial applications that this technology has enabled. The book emphasizes several topics in the area of smart sensors in industrial real-world applications. The contributions in this book give a broader view on the usage of smart sensor devices covering a wide range of interdisciplinary areas like Intelligent Transport Systems, Healthcare, Agriculture, Drone communications and Security.
By presenting an insight into Smart Sensors for Industrial IoT, this book directs the readers to explore the utility and advancement in smart sensors and their applications into numerous research fields. Lastly, the book aims to reach through a mass number of industry experts, researchers, scientists, engineers, and practitioners and help them guide and evolve to advance research practices.