Description: Today, nature is used as a source of inspiration for the development of new techniques for solving complex problems in various domains, from engineering to biology, with innovative adaptations under investigation.

The Handbook of Research on Artificial Immune Systems and Natural Computing: Applying Complex Adaptive Technologies provides the latest empirical research findings, theoretical frameworks, and technologies of natural computing and artificial immune systems (AIS). An excellent reference source for professionals, researchers, and academicians within the AIS and natural computing fields, this comprehensive collection written by leading international experts proposes new ideas, methods, and theories to solve problems of engineering and science.

Description: Medical and Care Compunetics 5 accompanies the fifth annual ICMCC Event, which is one of the leading information platforms for medical and care ICT. The focal point of this publication lies on compunetics, the social, societal and ethical aspects of medical and care ICT. This book contains a variety of debatable subjects. Among national and regional projects, issues discussed are aspects of electronic health records and European projects. There is also a discussion of knowledge management, which is lead by Arthur Krukowski and Andy Marsh; other issues that are considered are behavioral compunetics, empowerment and there is also a discussion of personal health paradigm challenging citizens and patients lead by Prof. Dr. Bernd Blobel from the eHealth Competence Center jointly with the European Federation for Medical Informatics, Working Groups Electronic Health Records and Security, Safety and Ethics.

Description: This new book provides a unified, in-depth, readable introduction to the multipredictor regression methods most widely used in biostatistics: linear models for continuous outcomes, logistic models for binary outcomes, the Cox model for right-censored survival times, repeated-measures models for longitudinal and hierarchical outcomes, and generalized linear models for counts and other outcomes.

Treating these topics together takes advantage of all they have in common. The authors point out the many-shared elements in the methods they present for selecting, estimating, checking, and interpreting each of these models. They also show that these regression methods deal with confounding, mediation, and interaction of causal effects in essentially the same way.

Paperback: 400 pages
Data: December 30, 2002
Format: DJVU
Description: Introduction to Medical Terminology emphasizes learning medical terminology by word part and usage and is organized by body systems. The practice software includes exercises, games and pronunciation of medical terminology. A workbook offers a wide-variety of learning exercises from matching and multiple choice to spelling and abbreviations to true/false and word building.

Paperback: 540 pages
Data: September 2004
Format: PDF
Description: Computer scientists have increasingly been enlisted as "bioinformaticians" to assist molecular biologists in their research. This book is a practical introduction to bioinformatics for these computer scientists. The chapters are in-depth discussions by expert bioinformaticians on both general techniques and specific approaches to a range of selected bioinformatics problems. The book is organized into clusters of chapters on the following topics:

Paperback: 320 pages
Data: September 1999
Format: PDF
Description: "Read the book from cover to cover... is rewarding and provides one with a feel for the state of the art in relation to data mining from genetics databases... I would highly recommend the book to anyone currently doing research in the biological sciences and molecular or genetic science in particular" - Today's Life Sciences

Publisher: Cambridge University Press; 1 edition
Language: English
ISBN: 0521525802
Paperback: 318 pages
Data: April 28, 2003
Format: PDF
Description: The most important techniques available for longitudinal data analysis are discussed in this book. The discussion includes simple techniques such as the paired t-test and summary statistics, but also more sophisticated techniques such as generalized estimating equations and random coefficient analysis. A distinction is made between longitudinal analysis with continuous, dichotomous, and categorical outcome variables. This practical guide is especially suitable for non-statisticians and all those undertaking medical research or epidemiological studies.

Publisher: Cambridge University Press; 2 edition
Language: English
ISBN: 0521009391
Paperback: 256 pages
Data: June 15, 2002
Format: PDF
Description: Following on in the footsteps of its acclaimed and popular predecessor, this new edition builds on the successful features that engaged readers of the first edition: it explains the principles and practice of epidemiology and serves as a handbook for those who wish to do epidemiology; it uses relevant exercises and examples, taken from real life, to illustrate how to set up a study; it aims to help produce valid results that will satisfy grant bodies, ethical committees, and journal editors; ultimately it bridges the gap between theory and practice. This edition includes numerous improvements and several new chapters which will further enhance its appeal.

Publisher: Springer; 1 edition
Language: English
ISBN: 1402065590
Paperback: 508 pages
Data: October 10, 2007
Format: PDF
Description: Over the last three decades, knowledge on the molecular biology of human cancers has vastly expanded. A host of genes and proteins involved in cancer development and progression have been defined and many mechanisms at the molecular, cellular and even tissue level have been, at least partly, elucidated. Insights have also been gained into the molecular mechanisms underlying carcinogenesis by chemical, physical, and biological agents and into inherited susceptibility to cancer.

Accordingly, Part I of the book presents many of the molecules and mechanisms generally important in human cancers. Following an overview on the cancer problem, individual chapters deal with cancer genetics and epigenetics, DNA damage and repair, oncogenes, tumor suppressors, regulatory pathways in cancer, apoptosis, cellular senescence, tumor invasion, and metastasis.

Publisher: Chapman & Hall/CRC; 1 edition
Language: English
ISBN: 1584882298
Paperback: 616 pages
Data: September 26, 2001
Format: PDF
Description: Approaching computational statistics through its theoretical aspects can be daunting. Often intimidated or distracted by the theory, researchers and students can lose sight of the actual goals and applications of the subject. What they need are its key concepts, an understanding of its methods, experience with its implementation, and practice with computational software. Focusing on the computational aspects of statistics rather than the theoretical, Computational Statistics Handbook with MATLAB uses a down-to-earth approach that makes statistics accessible to a wide range of users. The authors integrate the use of MATLAB throughout the book, allowing readers to see the actual implementation of algorithms, but also include step-by-step procedures to allow implementation with any suitable software. The book concentrates on the simulation/Monte Carlo point of view, and contains algorithms for exploratory data analysis, modeling, Monte Carlo simulation, pattern recognition, bootstrap, classification, cross-validation methods, probability density estimation, random number generation, and other computational statistics methods. Emphasis on the practical aspects of statistics, details of the latest techniques, and real implementation experience make the Computational Statistics Handbook with MATLAB more than just the first book to use MATLAB to solve computational problems in statistics. It also forms an outstanding, introduction to statistics for anyone in the many disciplines that involve data analysis.