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Diabetes ist eine chronische Erkrankung mit weitreichenden Konsequenzen fur das tagliche Leben der Patienten. Manche Patienten konnen mit diesen Belastungen gut umgehen, bei anderen wiederum konnen sie zu psychischen Storungen fuhren. Was im Fall von psychischen Storungen zu tun ist und wie diese vermieden werden konnen darauf werden in diesem Buch kenntnisreiche und hilfreiche Antworten gegeben. Mit Tipps fur die praktische Umsetzung und Materialien zum Download im Internet.

Thanks to the advancement of faster processors within communication devices, there has been a rapid change in how information is modulated, multiplexed, managed, and moved. While formulas and functions are critical in creating the granular components and operations of individual technologies, understanding the applications and their purposes in the business environment only requires a basic scientific background. The third edition of Introduction to Communications Technologies: A Guide for Non-Engineers helps students in telecommunications business programs become familiar with and...

As the population ages and healthcare costs continue to soar, the focus of the nation and the healthcare industry turns to reducing costs and making the delivery process more efficient. Demonstrating how improvements in information systems can lead to improved patient care, Information and Communication Technologies in Healthcare explains how to create a holistic Medical Records System as a core component to addressing the issues affecting the U.S. healthcare system.

Examining the impact of our aging population on healthcare, the book describes the range of systems...

This book constitutes the refereed proceedings of the 17th International Conference on Algorithmic Learning Theory, ALT 2006, held in Barcelona, Spain in October 2006, colocated with the 9th International Conference on Discovery Science, DS 2006.

The 24 revised full papers presented together with the abstracts of five invited papers were carefully reviewed and selected from 53 submissions. The papers are dedicated to the theoretical foundations of machine learning.