Angebote zu "Medicine" (132 Treffer)

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Simulations in Medicine
63,09 € *
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Erscheinungsdatum: 16.10.2015, Medium: Taschenbuch, Einband: Kartoniert / Broschiert, Titel: Simulations in Medicine, Titelzusatz: Pre-clinical and Clinical Applications, Redaktion: Roterman-Konieczna, Irena, Verlag: Gruyter, Walter de GmbH // De Gruyter, Sprache: Englisch, Schlagworte: Simulation // Simulator // Medizin // Allgemeines // Einführung // Lexikon // MEDICAL // General // Klinische und Innere Medizin, Rubrik: Medizin // Allgemeines, Lexika, Seiten: 331, Abbildungen: 247 farbige Abbildungen, 5 Schwarz-Weiß- Tabellen, Gewicht: 593 gr, Verkäufer: averdo

Anbieter: averdo
Stand: 30.03.2020
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Simulations in Medicine
69,99 € *
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Simulations in Medicine ab 69.99 € als Taschenbuch: Pre-clinical and Clinical Applications. Aus dem Bereich: Bücher, Wissenschaft, Medizin,

Anbieter: hugendubel
Stand: 30.03.2020
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Simulations in Medicine
69,99 € *
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Simulations in Medicine ab 69.99 € als pdf eBook: Pre-clinical and Clinical Applications. Aus dem Bereich: eBooks, Fachthemen & Wissenschaft, Medizin,

Anbieter: hugendubel
Stand: 30.03.2020
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Simulations in Medicine
69,99 € *
ggf. zzgl. Versand

Simulations in Medicine ab 69.99 € als epub eBook: Pre-clinical and Clinical Applications. Aus dem Bereich: eBooks, Fachthemen & Wissenschaft, Medizin,

Anbieter: hugendubel
Stand: 30.03.2020
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Simulations in Medicine
52,99 € *
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Modern practical medicine requires high tech in diagnostics and therapy and in consequence in education. All disciplines use computers to handle large data bases allowing individual therapy, to interpret large data bases in form of neuronal signals, help visualization of organs during surgery. This book contains chapters on personalised therapy, advanced diagnostics in neurology, modern techniques like robotic surgery (da Vinci robots), 3D-printing and 3D-bioprinting, augmented reality applied in medical diagnostics and therapy. It is impossible without fast large scale data mining in both: clinical data interpretation as well as in hospital organization including hybrid surgery rooms and personal data flow. The book is based on a course for medical students organized in the editor's department. Every year, around 300 international undergraduate medical students take the course.

Anbieter: buecher
Stand: 30.03.2020
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Simulations in Medicine
52,99 € *
ggf. zzgl. Versand

Modern practical medicine requires high tech in diagnostics and therapy and in consequence in education. All disciplines use computers to handle large data bases allowing individual therapy, to interpret large data bases in form of neuronal signals, help visualization of organs during surgery. This book contains chapters on personalised therapy, advanced diagnostics in neurology, modern techniques like robotic surgery (da Vinci robots), 3D-printing and 3D-bioprinting, augmented reality applied in medical diagnostics and therapy. It is impossible without fast large scale data mining in both: clinical data interpretation as well as in hospital organization including hybrid surgery rooms and personal data flow. The book is based on a course for medical students organized in the editor's department. Every year, around 300 international undergraduate medical students take the course.

Anbieter: buecher
Stand: 30.03.2020
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Defying Reality: The Inside Story of the Virtua...
9,95 € *
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A fascinating exploration of the history, development, and future of virtual reality, a technology with world-changing potential, written by award-winning journalist and author David Ewalt, stemming from his 2015 Forbes cover story about the Oculus Rift and its creator Palmer Luckey. You’ve heard about virtual reality, seen the new gadgets, and heard about how VR will be the next big thing. But you probably haven’t yet realized the extent to which this technology will change the way we live. We used to be bound to a physical reality, but new immersive computer simulations allow us to escape our homes and bodies. Suddenly anyone can see what it’s like to stand on the peak of Mount Everest. A person who can’t walk can experience a marathon from the perspective of an Olympic champion. And why stop there? Become a dragon and fly through the universe. But it’s not only about spectacle. Virtual and augmented reality will impact nearly every aspect of our lives - commerce, medicine, politics - the applications are infinite. It may sound like science fiction, but this vision of the future drives billions of dollars in business and is a top priority for such companies as Facebook, Google, and Sony. Yet little is known about the history of these technologies. In Defying Reality, David M. Ewalt traces the story from ancient amphitheaters to Cold War military laboratories, through decades of hype and failure, to a 19-year-old video game aficionado who made the impossible possible. Ewalt looks at how businesses are already using this tech to revolutionize the world around us, and what we can expect in the future. Writing for a mainstream audience as well as for technology enthusiasts, Ewalt offers a unique perspective on VR. With firsthand accounts and on-the-ground reporting, Defying Reality shows how virtual reality will change our work, our play, and the way we relate to one another. 1. Language: English. Narrator: Max Adler. Audio sample: http://samples.audible.de/bk/peng/004091/bk_peng_004091_sample.mp3. Digital audiobook in aax.

Anbieter: Audible
Stand: 30.03.2020
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Clinical Prediction Models
56,99 € *
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The second edition of this volume provides insight and practical illustrations on how modern statistical concepts and regression methods can be applied in medical prediction problems, including diagnostic and prognostic outcomes. Many advances have been made in statistical approaches towards outcome prediction, but a sensible strategy is needed for model development, validation, and updating, such that prediction models can better support medical practice. There is an increasing need for personalized evidence-based medicine that uses an individualized approach to medical decision-making. In this Big Data era, there is expanded access to large volumes of routinely collected data and an increased number of applications for prediction models, such as targeted early detection of disease and individualized approaches to diagnostic testing and treatment. Clinical Prediction Models presents a practical checklist that needs to be considered for development of a valid prediction model. Steps include preliminary considerations such as dealing with missing values; coding of predictors; selection of main effects and interactions for a multivariable model; estimation of model parameters with shrinkage methods and incorporation of external data; evaluation of performance and usefulness; internal validation; and presentation formatting. The text also addresses common issues that make prediction models suboptimal, such as small sample sizes, exaggerated claims, and poor generalizability. The text is primarily intended for clinical epidemiologists and biostatisticians. Including many case studies and publicly available R code and data sets, the book is also appropriate as a textbook for a graduate course on predictive modeling in diagnosis and prognosis. While practical in nature, the book also provides a philosophical perspective on data analysis in medicine that goes beyond predictive modeling. Updates to this new and expanded edition include: - A discussion of Big Data and its implications for the design of prediction models - Machine learning issues - More simulations with missing 'y' values - Extended discussion on between-cohort heterogeneity - Description of ShinyApp - Updated LASSO illustration - New case studies

Anbieter: buecher
Stand: 30.03.2020
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Clinical Prediction Models
56,99 € *
ggf. zzgl. Versand

The second edition of this volume provides insight and practical illustrations on how modern statistical concepts and regression methods can be applied in medical prediction problems, including diagnostic and prognostic outcomes. Many advances have been made in statistical approaches towards outcome prediction, but a sensible strategy is needed for model development, validation, and updating, such that prediction models can better support medical practice. There is an increasing need for personalized evidence-based medicine that uses an individualized approach to medical decision-making. In this Big Data era, there is expanded access to large volumes of routinely collected data and an increased number of applications for prediction models, such as targeted early detection of disease and individualized approaches to diagnostic testing and treatment. Clinical Prediction Models presents a practical checklist that needs to be considered for development of a valid prediction model. Steps include preliminary considerations such as dealing with missing values; coding of predictors; selection of main effects and interactions for a multivariable model; estimation of model parameters with shrinkage methods and incorporation of external data; evaluation of performance and usefulness; internal validation; and presentation formatting. The text also addresses common issues that make prediction models suboptimal, such as small sample sizes, exaggerated claims, and poor generalizability. The text is primarily intended for clinical epidemiologists and biostatisticians. Including many case studies and publicly available R code and data sets, the book is also appropriate as a textbook for a graduate course on predictive modeling in diagnosis and prognosis. While practical in nature, the book also provides a philosophical perspective on data analysis in medicine that goes beyond predictive modeling. Updates to this new and expanded edition include: - A discussion of Big Data and its implications for the design of prediction models - Machine learning issues - More simulations with missing 'y' values - Extended discussion on between-cohort heterogeneity - Description of ShinyApp - Updated LASSO illustration - New case studies

Anbieter: buecher
Stand: 30.03.2020
Zum Angebot