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This publication is a summary.This publication is not the complete book.This publication is a condensed summary of the most important concepts and ideas based on the original book.-WORKBOOK & SUMMARY: DEEP MEDICINE - BASED ON THE BOOK BY ERIC TOPOLAre you ready to boost your knowledge about DEEP MEDICINE? Do you want to quickly and concisely learn the key lessons of this book?Are you ready to process the information of an entire book in just one reading of approximately 30 minutes?Would you like to have a deeper understanding of the original book?Then this book is for you!CONTENT:Ai's Potential In HealthcareTransforming Health Through TechnologyEvolving Doctor-Patient DynamicsData Replacing IntuitionReviving Hands-On DiagnosticsTailoring Treatments Through GenomicsEnhancing Data Sharing In HealthcareAi's Role In Future Medical AdvancementsProtecting Patient InformationFramework For Ai-Integrated Healthcare
Written by teachers of EBM, the book is split into three sections which take you through the principles of EBM, exercises based on journal articles and how to access the relevant resources.
New York Times bestseller Business Book of the Year--Association of Business Journalists From the New York Times bestselling author comes an eye-opening, urgent look at America's broken health care system--and the people who are saving it--now with a new Afterword by the author. "A must-read for every American." --Steve Forbes, editor-in-chief, FORBES One in five Americans now has medical debt in collections and rising health care costs today threaten every small business in America. Dr. Makary, one of the nation's leading health care experts, travels across America and details why health care has become a bubble. Drawing from on-the-ground stories, his research, and his own experience, The Price We Pay paints a vivid picture of the business of medicine and its elusive money games in need of a serious shake-up. Dr. Makary shows how so much of health care spending goes to things that have nothing to do with health and what you can do about it. Dr. Makary challenges the medical establishment to remember medicine's noble heritage of caring for people when they are vulnerable. The Price We Pay offers a road map for everyday Americans and business leaders to get a better deal on their health care, and profiles the disruptors who are innovating medical care. The movement to restore medicine to its mission, Makary argues, is alive and well--a mission that can rebuild the public trust and save our country from the crushing cost of health care.
In this "compelling scientific detective story," a leading neuroscientist looks for the nature of human kindness in the brains of heroes and psychopaths (Wall Street Journal). At fourteen, Amber could boast of killing her guinea pig, threatening to burn down her home, and seducing men in exchange for gifts. She used the tools she had available to get what she wanted, and, she didn't care about the damage she inflicted. A few miles away, Lenny Skutnik was so concerned about the life of a drowning woman that he jumped into the ice-cold river to save her. How could Amber care so little about others' lives, while Lenny cared so much? Abigail Marsh studied the brains of both psychopathic children and extreme altruists and found that the answer lies in our ability to recognize others' fear. And as The Fear Factor argues, by studying people who demonstrate heroic and evil behaviors, we can learn more about how human morality is coded in the brain. A path-breaking read, The Fear Factor is essential for anyone seeking to understand the heights and depths of human nature.
Medical mistakes are more pervasive than we think. How can we improve outcomes? An acclaimed MD’s rich stories and research explore patient safety. Patients enter the medical system with faith that they will receive the best care possible, so when things go wrong, it’s a profound and painful breach. Medical science has made enormous strides in decreasing mortality and suffering, but there’s no doubt that treatment can also cause harm, a significant portion of which is preventable. In When We Do Harm, practicing physician and acclaimed author Danielle Ofri places the issues of medical error and patient safety front and center in our national healthcare conversation. Drawing on current research, professional experience, and extensive interviews with nurses, physicians, administrators, researchers, patients, and families, Dr. Ofri explores the diagnostic, systemic, and cognitive causes of medical error. She advocates for strategic use of concrete safety interventions such as checklists and improvements to the electronic medical record, but focuses on the full-scale cultural and cognitive shifts required to make a meaningful dent in medical error. Woven throughout the book are the powerfully human stories that Dr. Ofri is renowned for. The errors she dissects range from the hardly noticeable missteps to the harrowing medical cataclysms. While our healthcare system is—and always will be—imperfect, Dr. Ofri argues that it is possible to minimize preventable harms, and that this should be the galvanizing issue of current medical discourse.
A world-renowned critical-care doctor offers hope for patients, their families, and the future of medicine in this timely, urgent, and compassionate work about the devastating and little-known physical and emotional effects of ICU stays. As COVID-19 survivors are discharged from hospitals, grateful to be alive, most don’t realise that the hardest part of their battle may be about to begin. Many will return home and struggle with long-term physical, mental, and emotional problems either caused or exacerbated by the life-saving treatment they received in intensive care. They’ll join the ranks of critical-care survivors whose lives are completely upturned by a hospital stay. More than half of the patients admitted to ICUs will struggle with post-intensive care syndrome, which can include Alzheimer’s-like cognitive deficits, PTSD, muscle and nerve damage, and depression. Their personal and professional lives can suffer irreparably. Worst of all, no one seems to understand that they have an illness at all. Not even their doctors. Dr Ely is now a leader in the field of ICU survivorship — advocating for compassionate care in the technology-driven enclave of the modern ICU — especially relevant during the coronavirus pandemic. In Every Deep-Drawn Breath, Dr Ely sounds a warning for the millions of people who will be admitted to ICUs in coming years and a wake-up call for healthcare professionals — himself included — to turn their gaze from the latest life-saving machines to really see, as he says, ‘the person in the patient’.
A doctor’s personal and unsparing account of how modern medicine’s failure to understand pain has made care less effective In The Song of Our Scars, physician Haider Warraich offers a bold reexamination of the nature of pain, not as a simple physical sensation, but as a cultural experience. Warraich, himself a sufferer of chronic pain, considers the ways our notions of pain have been shaped not just by science but by politics and power, by whose suffering mattered and whose didn’t. He weaves a provocative history from the Renaissance, when pain transformed into a medical issue, through the racial legacy of pain tolerance, to the opiate epidemics of both the nineteenth and twenty-first centuries, to the cutting edge of present-day pain science. The conclusion is clear: only by reckoning with both pain’s complicated history and its biology can today’s doctors adequately treat their patients’ suffering. Trenchant and deeply felt, The Song of Our Scars is an indictment of a broken system and a plea for a more holistic understanding of the human body.
Over the past three decades or so, research on machine learning and data mining has led to a wide variety of algorithms that learn general functions from experience. As machine learning is maturing, it has begun to make the successful transition from academic research to various practical applications. Generic techniques such as decision trees and artificial neural networks, for example, are now being used in various commercial and industrial applications. Learning to Learn is an exciting new research direction within machine learning. Similar to traditional machine-learning algorithms, the methods described in Learning to Learn induce general functions from experience. However, the book investigates algorithms that can change the way they generalize, i.e., practice the task of learning itself, and improve on it. To illustrate the utility of learning to learn, it is worthwhile comparing machine learning with human learning. Humans encounter a continual stream of learning tasks. They do not just learn concepts or motor skills, they also learn bias, i.e., they learn how to generalize. As a result, humans are often able to generalize correctly from extremely few examples - often just a single example suffices to teach us a new thing. A deeper understanding of computer programs that improve their ability to learn can have a large practical impact on the field of machine learning and beyond. In recent years, the field has made significant progress towards a theory of learning to learn along with practical new algorithms, some of which led to impressive results in real-world applications. Learning to Learn provides a survey of some of the most exciting new research approaches, written by leading researchers in the field. Its objective is to investigate the utility and feasibility of computer programs that can learn how to learn, both from a practical and a theoretical point of view.
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, for translations, and to put cat ears on our selfie videos. We also trust AI with matters of life and death, on the road and in our hospitals. But how smart is AI really... and how does it solve problems, understand humans, and even drive self-driving cars? Shane delivers the answers to every AI question you've ever asked, and some you definitely haven't. Like, how can a computer design the perfect sandwich? What does robot-generated Harry Potter fan-fiction look like? And is the world's best Halloween costume really "Vampire Hog Bride"? In this smart, often hilarious introduction to the most interesting science of our time, Shane shows how these programs learn, fail, and adapt—and how they reflect the best and worst of humanity. You Look Like a Thing and I Love You is the perfect book for anyone curious about what the robots in our lives are thinking. "I can't think of a better way to learn about artificial intelligence, and I've never had so much fun along the way." —Adam Grant, New York Times bestselling author of Originals
Transform your organization's data into actionable insights with Tableau Tableau is designed specifically to provide fast and easy visual analytics. The intuitive drag-and-drop interface helps you create interactive reports, dashboards, and visualizations, all without any special or advanced training. This all new edition of Tableau Your Data! is your Tableau companion, helping you get the most out of this invaluable business toolset. Tableau Your Data! shows you how to build dynamic, best of breed visualizations using the Tableau Software toolset. This comprehensive guide covers the core feature set for data analytics, and provides clear step-by-step guidance toward best practices and advanced techniques that go way beyond the user manual. You'll learn how Tableau is different from traditional business information analysis tools, and how to navigate your way around the Tableau 9.0 desktop before delving into functions and calculations, as well as sharing with the Tableau Server. Analyze data more effectively with Tableau Desktop Customize Tableau's settings for your organization's needs with detailed real-world examples on data security, scaling, syntax, and more Deploy visualizations to consumers throughout the enterprise - from sales to marketing, operations to finance, and beyond Understand Tableau functions and calculations and leverage Tableau across every link in the value chain Learn from actual working models of the book's visualizations and other web-based resources via a companion website Tableau helps you unlock the stories within the numbers, and Tableau Your Data! puts the software's full functionality right at your fingertips.