This book’s aim is to study the mathematical and computational models to analyze the progress, prognosis, prevention, and panacea of breast cancer. The book discusses application of Markov chains and transient mappings, Charlie–Simpson numerical algorithm, models represented by nonlinear reaction–diffusion-type partial differential equations, and related techniques. The book also attempts to design mathematical model of targeted strategic treatments by using Skilled Killer Drugs (SKD1 and SKD2) to suggest the improvisation of future cancer treatments. Both graduate students and researchers of computational biology and oncologists will benefit by studying this book. Researchers of cancer studies and biological sciences will also find this work helpful.

Perturbed functional iterations (PFI) is a large‐scale nonlinear system solver. Nature is abundant with events simulated mathematically by nonlinear systems of equations and inequalities. These we call nonlinear models. Often, they are ill‐conditioned, meaning small changes in data causing huge changes in the output. PFI, previously called the perturbed iterative scheme (PIS), is a numerical method to solve nonlinear systems of equations in multidimensional space. Computational results demonstrate that this numerical method has some unique features, which have made it more practical for applications in engineering and applied mathematics. This book will guide readers in the proper use of PFI, both in theoretical and practical settings. Features: Ideal resource for postgraduates and professional researchers in science and engineering working in nonlinear systems Algorithmically simple enough for engineers and applied scientists to write their own software based on the contents

Written with the busy practice in mind, this book delivers clinically focused, evidence-based gynecology guidance in a quick-reference format. It explores etiology, screening, tests, diagnosis, and treatment for a full range of gynecologic health issues. The coverage includes the full range of gynecologic malignancies, reproductive endocrinology and infertility, infectious diseases, urogynecologic problems, gynecologic concerns in children and adolescents, and surgical interventions including minimally invasive surgical procedures. Information is easy to find and absorb owing to the extensive use of full-color diagrams, algorithms, and illustrations. The new edition has been expanded to include aspects of gynecology important in international and resource-poor settings.

In the United States, approximately 14 million people have had cancer and more than 1.6 million new cases are diagnosed each year. However, more than a decade after the Institute of Medicine (IOM) first studied the quality of cancer care, the barriers to achieving excellent care for all cancer patients remain daunting. Care often is not patient-centered, many patients do not receive palliative care to manage their symptoms and side effects from treatment, and decisions about care often are not based on the latest scientific evidence. The cost of cancer care also is rising faster than many sectors of medicine--having increased to $125 billion in 2010 from $72 billion in 2004--and is projected to reach $173 billion by 2020. Rising costs are making cancer care less affordable for patients and their families and are creating disparities in patients' access to high-quality cancer care. There also are growing shortages of health professionals skilled in providing cancer care, and the number of adults age 65 and older--the group most susceptible to cancer--is expected to double by 2030, contributing to a 45 percent increase in the number of people developing cancer. The current care delivery system is poorly prepared to address the care needs of this population, which are complex due to altered physiology, functional and cognitive impairment, multiple coexisting diseases, increased side effects from treatment, and greater need for social support. Delivering High-Quality Cancer Care: Charting a New Course for a System in Crisis presents a conceptual framework for improving the quality of cancer care. This study proposes improvements to six interconnected components of care: (1) engaged patients; (2) an adequately staffed, trained, and coordinated workforce; (3) evidence-based care; (4) learning health care information technology (IT); (5) translation of evidence into clinical practice, quality measurement and performance improvement; and (6) accessible and affordable care. This report recommends changes across the board in these areas to improve the quality of care. Delivering High-Quality Cancer Care: Charting a New Course for a System in Crisis provides information for cancer care teams, patients and their families, researchers, quality metrics developers, and payers, as well as HHS, other federal agencies, and industry to reevaluate their current roles and responsibilities in cancer care and work together to develop a higher quality care delivery system. By working toward this shared goal, the cancer care community can improve the quality of life and outcomes for people facing a cancer diagnosis.

Public health thrives on high-quality evidence, yet acquiring meaningful data on a population remains a central challenge of public health research and practice. Social monitoring, the analysis of social media and other user-generated web data, has brought advances in the way we leverage population data to understand health. Social media offers advantages over traditional data sources, including real-time data availability, ease of access, and reduced cost. Social media allows us to ask, and answer, questions we never thought possible. This book presents an overview of the progress on uses of social monitoring to study public health over the past decade. We explain available data sources, common methods, and survey research on social monitoring in a wide range of public health areas. Our examples come from topics such as disease surveillance, behavioral medicine, and mental health, among others. We explore the limitations and concerns of these methods. Our survey of this exciting new field of data-driven research lays out future research directions.

This book provides a practical guide to the design and implementation of health information systems in developing countries. Noting that most existing systems fail to deliver timely, reliable, and relevant information, the book responds to the urgent need to restructure systems and make them work as both a resource for routine decisions and a powerful tool for improving health services. With this need in mind, the authors draw on their extensive personal experiences to map out strategies, pinpoint common pitfalls, and guide readers through a host of conceptual and technical options. Information needs at all levels - from patient care to management of the national health system - are considered in this comprehensive guide. Recommended lines of action are specific to conditions seen in government-managed health systems in the developing world. In view of common constraints on time and resources, the book concentrates on strategies that do not require large resources, highly trained staff, or complex equipment. Throughout the book, case studies and numerous practical examples are used to explore problems and illustrate solutions. Details range from a list of weaknesses that plague most existing systems, through advice on when to introduce computers and how to choose appropriate software and hardware, to the hotly debated question of whether patient records should be kept by the patient or filed at the health unit. The book has fourteen chapters presented in four parts. Chapters in the first part, on information for decision-making, explain the potential role of health information as a managerial tool, consider the reasons why this potential is rarely realized, and propose general approaches for reform which have proved successful in several developing countries. Presentation of a six-step procedure for restructuring information systems, closely linked to an organizational model of health services, is followed by a practical discussion of the decision-making process. Reasons for the failure of most health information to influence decisions are also critically assessed. Against this background, the second and most extensive part provides a step-by-step guide to the restructuring of information systems aimed at improving the quality and relevance of data and ensuring their better use in planning and management. Steps covered include the identification of information needs and indicators, assessment of the existing system, and the collection of both routine and non-routine data using recommended procedures and instruments. Chapters also offer advice on procedures for data transmission and processing, and discuss the requirements of systems designed to collect population-based community information. Resource needs and technical tools are addressed in part three. A comprehensive overview of the resource base - from staff and training to the purchase and maintenance of equipment - is followed by chapters offering advice on the introduction of computerized systems in developing countries, and explaining the many applications of geographic information systems. Practical advice on how to restructure a health information system is provided in the final part, which considers how different interest groups can influence the design and implementation of a new system, and proposes various design options for overcoming specific problems. Experiences from several developing countries are used to illustrate strategies and designs in terms of those almost certain to fail and those that have the greatest chances of success