Kun Chang Lee - Böcker

Data Analytics in Biomedical Engineering and Healthcare explores key applications using data analytics, machine learning, and deep learning in health sciences and biomedical data. The book is useful for those working with big data analytics in biomedical research, medical industries, and medical research scientists. The book covers health analytics, data science, and machine and deep learning applications for biomedical data, covering areas such as predictive health analysis, electronic health records, medical image analysis, computational drug discovery, and genome structure prediction using predictive modeling. Case studies demonstrate big data applications in healthcare using the MapReduce and Hadoop frameworks. Examines the development and application of data analytics applications in biomedical data Presents innovative classification and regression models for predicting various diseases Discusses genome structure prediction using predictive modeling Shows readers how to develop clinical decision support systems Shows researchers and specialists how to use hybrid learning for better medical diagnosis, including case studies of healthcare applications using the MapReduce and Hadoop frameworks

As the use of digital technology has grown, so necessarily has the body of research into its effects at the personal, group and organizational levels, but there is no one book that looks at how digital technology has specifically influenced creativity.

As the use of digital technology has grown, so necessarily has the body of research into its effects at the personal, group and organizational levels, but there is no one book that looks at how digital technology has specifically influenced creativity.  Digital Creativity: Individuals, Groups, and Organizations discusses all spectrums of influence that digital technologies have on creativity from the individual, team, and organization level.This book offers a new kind of creativity model encompassing all three levels of creativity.  It combines each level into a unified creativity framework in which organizations regardlessof their industry types could benefit in reengineering their business processes as well as strategies. For this purpose, the book considers various factors that would affect creativity- individuals' digital efficacy, heterogeneity among members (i.e., age, gender,races, tenure, education, and culture, etc), CMC (Computer-Mediated Communication), task complexity, exploitation, exploration, culture, organizational learning capability, andknowledge networks among members. This book introduces a theorized and systematic glimpse into the exciting realm of digital creativity.  It is organized with contents starting from individuals to teams and ultimately to organizations, each with various techniques and cases. Each chapter shows how individuals, teams, and organizations can become more creative through use of digital technologies.

This book provides theoretical and practical backgrounds for the digital creativity management and related Agent-Based Modeling (ABM) results on the basis of a set of realistic assumptions in which several topics such as knowledge network, diversity, individual creativity, team creativity, exploration and exploitation, and organizational creativity are discussed. Until now, there has been no clear-cut methodology by which creativity management can be articulated and materialized into the business process management within companies and corporate performance. Though many approaches have been proposed to tackle the creativity research issues, this book adopts a new approach which assumes that the network structure formulated by interrelationships among team members decides individual creativity and team creativity as well, and ABM-based simulations lead to robust analysis of corporate performance over time. Typical examples of network structure under consideration in this study are degree centrality and structural hole (an opportunity to broker the flow of information between people, and control the projects that bring together people from opposite sides of the hole). This book suggests detailed analysis of source code used in implementing a prototype digital creativity simulation engine with related snap-shots and ABM results, so that readers can understand hard core of how to design and implement ABM tasks related to target problems, and extract implications from the ABM results.