This book is a comprehensive guide providing cardiologists with the latest information and developments in the field of diagnostic and prognostic cardiac imaging. Divided into two sections, the first part of the book examines cardiac imaging, and is further divided into non-invasive and invasive techniques. The second section discusses clinical cardiology and is further divided into emerging therapies and the diagnosis and management of coronary artery disease. The book is enhanced by nearly 150 clinical photographs, diagrams and tables to assist learning. Key points Comprehensive guide to latest developments in diagnostic and prognostic cardiac imaging Section one covers non-invasive and invasive imaging techniques Section two discusses emerging therapies in clinical cardiology and management of coronary artery disease Highly illustrated with nearly 150 images, diagrams and tables
This book is a comprehensive guide providing cardiologists with the latest information and developments in the field of diagnostic and prognostic cardiac imaging. Divided into two sections, the first part of the book examines cardiac imaging, and is further divided into non-invasive and invasive techniques. The second section discusses clinical cardiology and is further divided into emerging therapies and the diagnosis and management of coronary artery disease. The book is enhanced by nearly 150 clinical photographs, diagrams and tables to assist learning. Key points Comprehensive guide to latest developments in diagnostic and prognostic cardiac imaging Section one covers non-invasive and invasive imaging techniques Section two discusses emerging therapies in clinical cardiology and management of coronary artery disease Highly illustrated with nearly 150 images, diagrams and tables
Data Mining is an emerging technology that has made its way into science, engineering, commerce and industry as many existing inference methods are obsolete for dealing with massive datasets that get accumulated in data warehouses. This comprehensive and up-to-date text aims at providing the reader with sufficient information about data mining methods and algorithms so that they can make use of these methods for solving real-world problems. The authors have taken care to include most of the widely used methods in data mining with simple examples so as to make the text ideal for classroom learning. To make the theory more comprehensible to the students, many illustrations have been used, and this in turn explains how certain parameters of interest change as the algorithm proceeds. Designed as a textbook for the undergraduate and postgraduate students of computer science, information technology, and master of computer applications, the book can also be used for MBA courses in Data Mining in Business, Business Intelligence, Marketing Research, and Health Care Management. Students of Bioinformatics will also find the text extremely useful. CD-ROM INCLUDE’ The accompanying CD contains Large collection of datasets. Animation on how to use WEKA and ExcelMiner to do data mining.
Thank you for visiting our website. Would you like to provide feedback on how we could improve your experience?
This site does not use any third party cookies with one exception — it uses cookies from Google to deliver its services and to analyze traffic.Learn More.