Most of us face the same questions every day: What do I want? And how can I get it? How can I live more happily and work more efficiently? A UK bestseller, The Decision Book distils into a single volume the fifty best decision-making models used on MBA courses and elsewhere that will help you tackle these important questions - from the well known (the Eisenhower matrix for time management) to the less familiar but equally useful (the Swiss Cheese model). It will even show you how to remember everything you will have learned by the end of it. Stylish and compact, this little black book is a powerful asset. Whether you need to plot a presentation, assess someone´s business idea or get to know yourself better, this unique guide will help you simplify any problem and take steps towards the right decision.
This comprehensive reference delves into the complex process of medical decision making-both the nuts-and-bolts access and insurance issues that guide choices and the cognitive and affective factors that can make patients decide against their best interests. Wide-ranging coverage offers a robust evidence base for understanding decision making across the lifespan, among family members, in the context of evolving healthcare systems, and in the face of life-changing diagnosis. The section on applied decision making reviews the effectiveness of decision-making tools in healthcare, featuring real-world examples and guidelines for tailored communications with patients. Throughout, contributors spotlight the practical importance of the field and the pressing need to strengthen health decision-making skills on both sides of the clinician/client dyad. Among the Handbook ´s topics: From laboratory to clinic and back: connecting neuroeconomic and clinical mea sures of decision-making dysfunctions. Strategies to promote the maintenance of behavior change: moving from theoretical principles to practices. Shared decision making and the patient-provider relationship. Overcoming the many pitfalls of communicating risk. Evidence-based medicine and decision-making policy. The internet, social media, and health decision making. The Handbook of Health Decision Science will interest a wide span of professionals, among them health and clinical psychologists, behavioral researchers, health policymakers, and sociologists.
Take a deep dive into the concepts of machine learning as they apply to contemporary business and management. You will learn how machine learning techniques are used to solve fundamental and complex problems in society and industry. Machine Learning for Decision Makers serves as an excellent resource for establishing the relationship of machine learning with IoT, big data, and cognitive and cloud computing to give you an overview of how these modern areas of computing relate to each other. This book introduces a collection of the most important concepts of machine learning and sets them in context with other vital technologies that decision makers need to know about. These concepts span the process from envisioning the problem to applying machine-learning techniques to your particular situation. This discussion also provides an insight to help deploy the results to improve decision-making. The book uses case studies and jargon busting to help you grasp the theory of machine learning quickly. You´ll soon gain the big picture of machine learning and how it fits with other cutting-edge IT services. This knowledge will give you confidence in your decisions for the future of your business. What You Will Learn Discover the machine learning, big data, and cloud and cognitive computing technology stack Gain insights into machine learning concepts and practices Understand business and enterprise decision-making using machine learning Absorb machine-learning best practices Who This Book Is For Managers tasked with making key decisions who want to learn how and when machine learning and related technologies can help them.
This book discusses computer-supported medical diagnosis with a particular focus on ovarian tumor diagnosis - since ovarian cancer is difficult to diagnose and has high mortality rates, especially in Central and Eastern Europe. It presents the theoretical foundations (both medical and mathematical) of the intelligent OvaExpert system, which supports decision-making in tumor diagnosis. OvaExpert was created primarily to help gynecologists predict the malignancy of ovarian tumors by applying the existing diagnostic models and using modern methods of computational intelligence that accommodate imprecise and imperfect medical data, both of which are common features of everyday medical practice. The book presents novel methods based on interval-valued fuzzy sets and the theory of their cardinalities.
Since its publication twenty years ago, Sources of Power has been enormously influential. The model of decision making Klein proposes in the book has been adopted in fields including law enforcement training and petrochemical plant operation. What is the groundbreaking new way to approach decision making described in this modern classic? Most studies of decision making, based on artificial tasks assigned in laboratory settings, view people as biased and unskilled. Klein proposes a naturalistic approach to decision making, which views people as gaining experience that enables them to use a combination of intuition and analysis to make decisions. To illustrate this approach, Klein tells stories of people - from pilots to chess masters - acting under such real-life constraints as time pressure, high stakes, personal responsibility, and shifting conditions.
This book examines a crucial question about small states and their governments´ influence in the European Union (EU) decision-making processes. - Are EU small member state governments influential in EU decision-making processes? In other words, do they exercise influence in these processes? And if so, how and at which stage do they do this? This book seeks to answer the above questions by focusing on Malta - the smallest state in the EU - and whether it exercises influence in ´uploading´ its preferences in two distinct stages of EU legislative decision-making processes - decision-shaping (formation) and decision-taking (adoption). The cases selected and analyzed showcase the Maltese government´s behaviour in legislative negotiations in differing EU policy spheres that are extremely relevant to it. These are the adoption of EU directives on pyrotechnic articles (falling under the EU competition and consumer health and safety policy spheres) and on the extension of EU long-term residence to beneficiaries of international protection (falling under EU immigration policy). As analyzed in the latter chapters of the book, Malta´s government has achieved varying degrees of success in its exercise of influence in these EU decision-making processes.