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This User’s Guide is a resource for investigators and stakeholders who develop and review observational comparative effectiveness research protocols. It explains how to (1) identify key considerations and best practices for research design; (2) build a protocol based on these standards and best practices; and (3) judge the adequacy and completeness of a protocol. Eleven chapters cover all aspects of research design, including: developing study objectives, defining and refining study questions, addressing the heterogeneity of treatment effect, characterizing exposure, selecting a comparator, defining and measuring outcomes, and identifying optimal data sources. Checklists of guidance and key considerations for protocols are provided at the end of each chapter. The User’s Guide was created by researchers affiliated with AHRQ’s Effective Health Care Program, particularly those who participated in AHRQ’s DEcIDE (Developing Evidence to Inform Decisions About Effectiveness) program. Chapters were subject to multiple internal and external independent reviews. More more information, please consult the Agency website: www.effectivehealthcare.ahrq.gov)
Category-specific knowledge disorders are among the most intriguing and perplexing syndromes in cognitive neuropsychology. The past decade has witnessed increased interest in these disorders, due largely to a heightened appreciation of the profound implications that an understanding of concept representation has for such diverse topics as object recognition, the organisation of the lexicon, and storage of long-term memories. Until recently, information about the representation of concepts was limited to findings from patients with brain injury and disease. This state of affairs has now changed with the advent and wide-spread availability of functional imaging for studying cognition in the normal human brain. The purpose of this special issue is to provide a forum for new findings and critical, theoretical analyses of existing data from patient and functional brain imaging studies. The contributions, all from major investigators in the field, range from studies of specific object categories such as animals, tools, fruit and vegetables, and faces, to the more general domains of number processing, social interaction, and mechanical knowledge. A unifying theme of these papers is the extent to which the findings can be best understood within the context of models that posit an innate, domain-specific organisation, those that appeal to an organisation by sensory- and motor-based features and properties, and those that propose an undifferentiated, distributed neural organisation.
This book is showcases recent advances in knowledge discovery enhanced with semantic and social information. It includes eight chapters that grew out of joint workshops at ECML/PKDD 2007. The contributions emphasize the vision of the Web as a social medium.
What does it mean to understand something? What is the essence of understanding, when compared across multiple domains? Varieties of Understanding offers new and original work on the nature of understanding, raising questions about what understanding looks like from different perspectives and exploring how ordinary people use the notion of understanding. According to a long historical tradition, understanding comes in different varieties. In particular, it is said that understanding people has a different epistemic profile than understanding the natural world-that it calls on different cognitive resources and brings to bear distinctive normative considerations. Thus, in order to understand people we might need to appreciate, or in some way sympathetically reconstruct, the reasons that led a person to act in a certain way. By comparison, when it comes to understanding natural events, like earthquakes or eclipses, no appreciation of reasons or acts of sympathetic reconstruction is arguably needed-mainly because there are no reasons on the scene to even be appreciated, and no perspectives to be sympathetically pieced together. This volume brings together some of the world's leading philosophers, psychologists, and theologians in order to shed light on the various ways in which we understand the world, pushing debates on this issue to new levels of sophistication and insight.
The first comprehensive overview of preprocessing, mining,and postprocessing of biological data Molecular biology is undergoing exponential growth in both thevolume and complexity of biological data—and knowledgediscovery offers the capacity to automate complex search and dataanalysis tasks. This book presents a vast overview of the mostrecent developments on techniques and approaches in the field ofbiological knowledge discovery and data mining (KDD)—providingin-depth fundamental and technical field information on the mostimportant topics encountered. Written by top experts, Biological Knowledge DiscoveryHandbook: Preprocessing, Mining, and Postprocessing of BiologicalData covers the three main phases of knowledge discovery (datapreprocessing, data processing—also known as datamining—and data postprocessing) and analyzes both verificationsystems and discovery systems. BIOLOGICAL DATA PREPROCESSING Part A: Biological Data Management Part B: Biological Data Modeling Part C: Biological Feature Extraction Part D Biological Feature Selection BIOLOGICAL DATA MINING Part E: Regression Analysis of Biological Data Part F Biological Data Clustering Part G: Biological Data Classification Part H: Association Rules Learning from Biological Data Part I: Text Mining and Application to Biological Data Part J: High-Performance Computing for Biological DataMining Combining sound theory with practical applications in molecularbiology, Biological Knowledge Discovery Handbook is idealfor courses in bioinformatics and biological KDD as well as forpractitioners and professional researchers in computer science,life science, and mathematics.
knowledgewrappedinrules,databases,ortheWeballowsonetoexploreintere- ing hidden knowledge.Declarativetechniques for the transformation,deduction, induction, visualization, or querying of knowledge, or data mining techniques for exploring knowledge have the advantage of high transparency and better maintainability compared to procedural approaches.
First edition published in 2002. Second edition published in 2008.
Analyses the contribution made by cognitve neuropsychology and connectionist modelling to theoretical explanations of cognitive processes. Selected to present some of the most hotly debated topics in the field today.