Predictive Health

Over the past decade, Big Data have become ubiquitous in all economic sectors, scientific disciplines, and human activities. They have led to striking technological advances, affecting all human exper

This book is the second volume in a set of books dealing with the evolution of technology, IT and organizational approaches and what this means for industrial equipment. The authors address this incre

This book addresses the steps needed to monitor health assessment systems and the anticipation of their failures: choice and location of sensors, data acquisition and processing, health assessment and

Our health care system is crippled by desperate efforts to prevent the inevitable. A third of the national Medicare budget—nearly $175 billion—is spent on the final year of life, and a third of that a

Pharmacogenomics supports personalized medicine by translating genome-based knowledge into clinical practice, offering enhanced benefit for patients and health-care systems at large. Current routine p

Many cancers, both common and rare, are known to have a hereditary predisposition and advances in genetics have clarified the risks and in some cases the mechanisms of cancer developing in an individual. First published in 1998, this important contribution to the literature of cancer genetics covers all the key issues, reviewing both the technology behind genetic risk assessment and the ethical dilemmas it poses. It is divided into two parts. The first deals with ethical, legal and social issues. The second systematically outlines current knowledge of the inheritance patterns of many different cancer types, both from a site-by-site perspective and for special groups. This authoritative volume will be of interest to oncologists, physicians and surgeons in other specialities and to health professionals in the areas of primary care, counselling and cancer risk assessment.

Every day we interact with machine learning systems offering individualized predictions for our entertainment, social connections, purchases, or health. These involve several modalities of data, from sequences of clicks to text, images, and social interactions. This book introduces common principles and methods that underpin the design of personalized predictive models for a variety of settings and modalities. The book begins by revising 'traditional' machine learning models, focusing on adapting them to settings involving user data, then presents techniques based on advanced principles such as matrix factorization, deep learning, and generative modeling, and concludes with a detailed study of the consequences and risks of deploying personalized predictive systems. A series of case studies in domains ranging from e-commerce to health plus hands-on projects and code examples will give readers understanding and experience with large-scale real-world datasets and the ability to design mod

Machine Learning and Data Science in the Oil and Gas Industry explains how machine learning can be specifically tailored to oil and gas use cases. Petroleum engineers will learn when to use machine learning, how it is already used in oil and gas operations, and how to manage the data stream moving forward. Practical in its approach, the book explains all aspects of a data science or machine learning project, including the managerial parts of it that are so often the cause for failure.Several real-life case studies round out the book with topics such as predictive maintenance, soft sensing, and forecasting. Viewed as a guide book, this manual will lead a practitioner through the journey of a data science project in the oil and gas industry circumventing the pitfalls and articulating the business value.

We advance nonprofit scholarship by using the conceptual framework of policy fields to examine differences across nonprofit fields of activity. We focus on the structure of relationships among four sectors (government, nonprofit, market, informal) and how relationships differ across policy fields (here health, human services, education, arts and culture, and religion). The fields differ notably in the economic share that each sector holds and the functional division of labor among the sectors. Systemic differences also exist in how the nonprofit sector interacts with the government, market, and informal sectors. The policy fields themselves operate within national contexts of distinctive economic and political configurations. The framework explores how government-nonprofit relationships differ across policy fields, the factors responsible for this variation, and offers predictive capacity to generate hypotheses and research designs for additional research. We provide insights on how no

Since the publication of the second edition, many new Bayesian tools and methods have been developed for space-time data analysis, the predictive modeling of health outcomes, and other spatial biostat

Worries about scientific objectivity just won’t go away, but by now, it’s safe to say, no one who reflects on the appropriate role of values and interests in scientific research thinks it is or could be free of them. It now seems obvious that social, political, and economic values and interests influence research on weapons, for example, or health and the environment. Yet the dominant late twentieth-century philosophies of science have tended to conceptualize the reliability and predictive power of the results of research as damaged by such values and interests, and they continue to do so in spite of powerful analyses of how sciences operate in practice and in spite of the rise around the globe in the last four decades of various forms of participatory action research and citizen science, both of which take their research agendas from the concerns of disadvantaged groups. Why are the epistemic/scientific norm of objectivity and the social/political norm of diversity still perceived as

Since the publication of the first edition, many new Bayesian tools and methods have been developed for space-time data analysis, the predictive modeling of health outcomes, and other spatial biostati

For epidemiologists, evolutionary biologists, and health-care professionals, real-time and predictive modeling of infectious disease is of growing importance. This book provides a timely and comprehen

New discoveries reveal how crucial interactions which determine our destiny occur before birth, when our genes interact with their environment as the embryo and fetus develop. These processes - in the matrix of the womb - are evolutionary echoes of mechanisms which allowed our hunter-gatherer ancestors to survive. These exciting insights into predictive adaptive responses suggest new ways of protecting the health of the fetus, infant and adult. If inappropriate they can trigger obesity, diabetes and heart disease, formerly thought to result solely from adult lifestyle. The new concepts in this book are crucial to understanding the daunting public health burden in societies undergoing rapid transition from poverty to affluence. They add an important new dimension to evolutionary theory. Synthesising developmental biology, evolutionary history, medical science, public health and social policy, this is a ground-breaking and fascinating account by two of the world's leading pioneers in thi