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Perspectives in digital health and big data in medicine: Current trends, professional challenges, and ethical, legal, and social implications
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How Behavior Spreads
A new, counterintuitive theory for how social networks influence the spread of behavior New social movements, technologies, and public-health initiatives often struggle to take off, yet many diseases disperse rapidly without issue. Can the lessons learned from the viral diffusion of diseases improve the spread of beneficial behaviors and innovations? How Behavior Spreads presents over a decade of original research examining how changes in societal behavior—in voting, health, technology, and finance—occur and the ways social networks can be used to influence how they propagate. Damon Centola's startling findings show that the same conditions that accelerate the viral expansion of an epidemic unexpectedly inhibit the spread of behaviors. How Behavior Spreads is a must-read for anyone interested in how the theory of social networks can transform our world.
Big Data, Big Design
Big Data, Big Design provides designers with the tools they need to harness the potential of machine learning and put it to use for good through thoughtful, human-centered, intentional design. Enter the world of Machine Learning (ML) and Artificial Intelligence (AI) through a design lens in this thoughtful handbook of practical skills, technical knowledge, interviews, essays, and theory, written specifically for designers. Gain an understanding of the design opportunities and design biases that arise when using predictive algorithms. Learn how to place design principles and cultural context at the heart of AI and ML through real-life case studies and examples. This portable, accessible guide will give beginners and more advanced AI and ML users the confidence to make reasoned, thoughtful decisions when implementing ML design solutions.
Patient Engagement in Health and Well-being: Theoretical and Empirical Perspectives in Patient Centered Medicine
At present citizens are more aware of their health and care rights and more literate about their disease. Furthermore the continuous development of technological and bio-medical solutions are alimenting the expectation for longer and better life expectancy, even despite the diagnosis. Patients require to be higher involved in the decision making about their care and are willing to deeply entangle all the possible treatment options, their advantages, and their risks. In other terms, citizens today want to be treated not only as “client” but mainly as partners of the medical action and as co-authors of the success of their healthcare pathway. Due to this socio-psychological change in patie...
How To Do Primary Care Research
This practical ‘How To’ guide talks the reader step-by-step through designing, conducting and disseminating primary care research, a growing discipline internationally. The vast majority of health care issues are experienced by people in community settings, who are not adequately represented by hospital-based research. There is therefore a great need to upskill family physicians and other primary care workers and academics to conduct community-based research to inform best practice. Aimed at emerging researchers, including those in developing countries, this book also addresses cutting edge and newly developing research methods, which will be of equal interest to more experienced researchers.
Cognitive Informatics in Health and Biomedicine
As health care is moving toward a team effort with patients as partners, this book provides guidance on the optimized use of health information and supporting technologies, and how people think and make decisions that affect their health and wellbeing. It focuses on investigations of how general public understand health information, assess risky behaviors, make healthcare decisions, and how they use health information technologies. e-health technologies have opened up new horizons for promoting increased self-reliance in patients. Although information technologies are now in widespread use, there is often a disparity between the scientific and technological knowledge underlying health care p...
Person Centered Medicine
The 21st is being recognized as the Century of the Person, particularly in Medicine and Health. Person Centered Medicine, as a concept and global programmatic movement developed in collaboration with the World Medical Association, World Health Organization, International Council of Nurses and 30 other institutions over a decade of annual Geneva Conferences, places the whole person as the center of health and as the goal and protagonist of health actions. Seeking the person at the center of medicine, has meant a medicine of the person, for the person, by the person and with the person. Articulating science and humanism, it strives for a medicine informed by evidence, experience and values and...
You Look Like a Thing and I Love You
As heard on NPR's "Science Friday," discover the book recommended by Malcolm Gladwell, Susan Cain, Daniel Pink, and Adam Grant: an "accessible, informative, and hilarious" introduction to the weird and wonderful world of artificial intelligence (Ryan North). "You look like a thing and I love you" is one of the best pickup lines ever . . . according to an artificial intelligence trained by scientist Janelle Shane, creator of the popular blog AI Weirdness. She creates silly AIs that learn how to name paint colors, create the best recipes, and even flirt (badly) with humans—all to understand the technology that governs so much of our daily lives. We rely on AI every day for recommendations, f...
Medical Data Analysis and Processing using Explainable Artificial Intelligence
The text presents concepts of explainable artificial intelligence (XAI) in solving real world biomedical and healthcare problems. It will serve as an ideal reference text for graduate students and academic researchers in diverse fields of engineering including electrical, electronics and communication, computer, and biomedical. Presents explainable artificial intelligence (XAI) based machine analytics and deep learning in medical science. Discusses explainable artificial intelligence (XA)I with the Internet of Medical Things (IoMT) for healthcare applications. Covers algorithms, tools, and frameworks for explainable artificial intelligence on medical data. Explores the concepts of natural la...
