Designed as a pocket reference for all those involved in the intensive care unit, this text has a straightforward decision-tree format which provides guidelines for acute medical conditions. It includes 70 algorithms - either problem-oriented or related to specific conditions - together with complementary notes and references. The book should provide junior doctors and SHOs with a learning and revision aid to the management of acute medical care, and provide experienced clinicians with a digest of current practices and procedures.

Acute Medicine Algorithms (Oxford Medical Publications)

Medical Books

Webb, Andrew R.

Singer, Mervyn

Medicine

Oxford University Press

Of all the medical specialties, few if any are as exacting and complex as critical care medicine. All members of the multidisciplinary team caring for critically ill patients require a sound knowledge of physiology, pathophysiology, biochemistry, technology and pharmacology. The new edition of this enormously popular Oxford Handbook describes best practice in critical care in a succinct, concise, clinically oriented way. It covers therapeutic and monitoring devices, drugs and fluids, specific organ system disorders and complications, and general management philosophies. Ample space is provided to append to amend sections to suit local protocols and particular practices. The Ixford Handbook of Critical Care will serve consultant, junior doctor, nurse or other paramedical staff as a reference book, aide memoire and handy pocket book providing rationales and solutions to most of the problems encountered.

Oxford Handbook of Critical Care (Oxford Handbooks Series)

Reference

Serves as a practical guide for those working in intensive and emergency care. This title covers therapeutic and monitoring devices, drugs and fluids, specific organ system disorders and complications, and general management philosophies and material on areas such as adjusting the ventilator; managing ARDS; and, sepsis and septic shock.

Oxford Handbook of Critical Care for PDA (Oxford Medical Handbooks)

Words, Language & Grammar

This edition includes details of equipment, techniques and procedures for monitoring and for therapeutic purposes, laboratory monitoring, pharmacology, basic principles of patient management, and the clinical management of specific conditions presenting in the intensive care unit.

Statistical Pattern Recognition

Statistical pattern recognition relates to the use of statistical techniques for analysing data measurements in order to extract information and make justified decisions. It is a very active area of study and research, which has seen many advances in recent years. Applications such as data mining, web searching, multimedia data retrieval, face recognition, and cursive handwriting recognition, all require robust and efficient pattern recognition techniques. 
This third edition provides an introduction to statistical pattern theory and techniques, with material drawn from a wide range of fields, including the areas of engineering, statistics, computer science and the social sciences. The book has been updated to cover new methods and applications, and includes a wide range of techniques such as Bayesian methods, neural networks, support vector machines, feature selection and feature reduction techniques.Technical descriptions and motivations are provided, and the techniques are illustrated using real examples. Statistical Pattern Recognition, 3rd Edition: <ul>
<li>Provides a self-contained introduction to statistical pattern recognition.</li> <li>Includes new material presenting the analysis of complex networks.</li> <li>Introduces readers to methods for Bayesian density estimation.</li> <li>Presents descriptions of new applications in biometrics, security, finance and condition monitoring.</li> <li>Provides descriptions and guidance for implementing techniques, which will be invaluable to software engineers and developers seeking to develop real applications</li> <li>Describes mathematically the range of statistical pattern recognition techniques.</li> <li>Presents a variety of exercises including more extensive computer projects.</li> </ul>
The in-depth technical descriptions make the book suitable for senior undergraduate and graduate students in statistics, computer science and engineering. Statistical Pattern Recognition is also an excellent reference source for technical professionals. Chapters have been arranged to facilitate implementation of the techniques by software engineers and developers in non-statistical engineering fields. www.wiley.com/go/statistical_pattern_recognition

Computers & Technology

Copsey, Keith D.

Computer Science

wiley

Science & Math

Mathematics

Statistical pattern recognition is a very active area of study and research, which has seen many advances in recent years. New and emerging applications - such as data mining, web searching, multimedia data retrieval, face recognition, and cursive handwriting recognition - require robust and efficient pattern recognition techniques. Statistical decision making and estimation are regarded as fundamental to the study of pattern recognition. 
 Statistical Pattern Recognition, Second Edition has been fully updated with new methods, applications and references. It provides a comprehensive introduction to this vibrant area - with material drawn from engineering, statistics, computer science and the social sciences - and covers many application areas, such as database design, artificial neural networks, and decision support systems. * Provides a self-contained introduction to statistical pattern recognition. * Each technique described is illustrated by real examples. * Covers Bayesian methods, neural networks, support vector machines, and unsupervised classification. * Each section concludes with a description of the applications that have been addressed and with further developments of the theory. * Includes background material on dissimilarity, parameter estimation, data, linear algebra and probability. * Features a variety of exercises, from 'open-book' questions to more lengthy projects. The book is aimed primarily at senior undergraduate and graduate students studying statistical pattern recognition, pattern processing, neural networks, and data mining, in both statistics and engineering departments. It is also an excellent source of reference for technical professionals working in advanced information development environments. For further information on the techniques and applications discussed in this book please visit www.statistical-pattern-recognition.net

Software

See the best price to sell, buy, or rent books by Webb, Andrew R.. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Books by Webb, Andrew R.

See the best price to sell, buy, or rent books by Webb, Andrew R.. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Acute Medicine Algorithms (Oxford Medical Publications)

Oxford Handbook of Critical Care (Oxford Handbooks Series)

Oxford Handbook of Critical Care for PDA (Oxford Medical Handbooks)

Oxford Handbook of Critical Care (Oxford Handbooks Series)

Statistical Pattern Recognition

Statistical Pattern Recognition

Statistical Pattern Recognition

Statistical Pattern Recognition