Getting effective, error free affordable healthcare is challenging. Managing Your Doctor is here to help. An information overload no doctor can keep up with; endless manipulations by drug and medical device companies; a take over by profit seeking corporations; laws that disadvantage the patient; an epidemic of medical and billing errors combine with the ever increasing complexity of medicine all contribute to the problem. The antidote is the right information – which this book provides, divided into sections on getting the right doctor; diagnosis; information; treatment; price; future; even the right death (as terminal care is notoriously badly handled) and advice on a home medical kit.
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Born in England, educated in a “do-as-you-like” school (Dartington Hall) then gaining a medical education at prestigious Guys Hospital in London he worked on 4 continents before moving to the US in 1982, completing residency in family practice at SUNY at Stony Brook. After more than 40 years, most of them “in the trenches” of primary care, he has developed an interest in coaching patients to help themselves and throw off the ingrained notion that “the doctor knows best.” Since retiring from full time practice in Stafford, Virginia, he has become volunteer medical director of the Lloyd Moss Free Clinic, writes regular medical columns for two local newspapers and has worked on the concept of what he calls ‘medical emancipation’ to help patients get the effective affordable healthcare and writing this health guide.
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Paperback. Condition: Very Good. A rigorous introduction to the theory and applications of state estimation and association, an important area in aerospace, electronics, and defense industries. Applied state estimation and association is an important area for practicing engineers in aerospace, electronics, and defense industries, used in such tasks as signal processing, tracking, and navigation. This book offers a rigorous introduction to both theory and application of state estimation and association. It takes a unified approach to problem formulation and solution development that helps students and junior engineers build a sound theoretical foundation for their work and develop skills and tools for practical applications. Chapters 1 through 6 focus on solving the problem of estimation with a single sensor observing a single object, and cover such topics as parameter estimation, state estimation for linear and nonlinear systems, and multiple model estimation algorithms. Chapters 7 through 10 expand the discussion to consider multiple sensors and multiple objects. The book can be used in a first-year graduate course in control or system engineering or as a reference for professionals. Each chapter ends with problems that will help readers to develop derivation skills that can be applied to new problems and to build computer models that offer a useful set of tools for problem solving. Readers must be familiar with state-variable representation of systems and basic probability theory including random and stochastic processes. Seller Inventory # CIN1508802580VG
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