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Automatic biometrics recognition techniques are becoming increasingly important in corporate and public security systems and have increased in methods due to rapid field development. Behavioral Biometrics for Human Identification: Intelligent Applications discusses classic behavioral biometrics as well...

In the healthcare field, there is limited literature published on the subject of global deployment, diffusion, adoption, use, and impact of information communication technologies in the context of health informatics and electronic healthcare applications. Due to a lack of such literature, those...

With the ubiquitous presence of video data and its increasing importance in a wide range of real-world applications, it is becoming increasingly necessary to automatically analyze and interpret object motions from large quantities of footage. Machine Learning for Human Motion Analysis: Theory and...

The modeling of healthcare components and systems in order to develop a complete understanding of component interactions is one of the more challenging simulation and modeling problems for software agent systems. Multi-Agent Systems for Healthcare Simulation and Modeling: Applications for System...

In global environments, healthcare organizations are required to be flexible and resilient in coping with uncertain and complex circumstances. Redesigning Innovative Healthcare Operation and the Role of Knowledge Management collects a compilation of chapters on how knowledge impacts the layout and...

Mathematical and symmetrical analysis of the structure of molecular systems of genetic code has essential meaning for the bioinformatics, biomathematics, and biotechnology fields. Symmetrical Analysis Techniques for Genetic Systems and Bioinformatics: Advanced Patterns and Applications adds unique and...

The quest for quality in healthcare has led to attempts to develop models to determine which providers have the highest quality in healthcare, with the best outcomes for patients. Text Mining Techniques for Healthcare Provider Quality Determination: Methods for Rank Comparisons discusses the general...

Despite the growing needs of populations around the world for care and delivery of services, as well as disease control, quality diagnostics, and secure records, there remains a void in literature of a complete reference that covers the latest technological advancements and innovations within the...

With the healthcare industry becoming increasingly more competitive, there exists a need for medical institutions to improve both the efficiency and the quality of their services. In order to do so, it is important to investigate how statistical models can be used to study health outcomes. Cases on...

The Internet and other technological developments are now playing increasing roles in the management of knowledge within consumer health behavior and the delivery of health services. Biomedical Knowledge Management: Infrastructures and Processes for E-Health Systems provides multidisciplinary best...

Healthcare is significantly affected by technological advancements, as technology both shapes and changes health systems locally and globally. As areas of computer science, information technology, and healthcare merge, it is important to understand the current and future implications of health...

Pervasive healthcare is an emerging discipline concerning the application of wireless, mobile, and intelligent technologies to certain healthcare issues. Such issues within healthcare systems include the increased incidence of lifestyle-related diseases and chronic illnesses, the need to educate...

Progress in ubiquitous computing, social networking, medical informatics and IT technologies has resulted in a new generation of healthcare systems. Ubiquitous Health and Medical Informatics: The Ubiquity 2.0 Trend and Beyond provides insight into the various trends, innovations, and organizational...

The investigation of healthcare databases can be used to examine physician decisions and develop evidence-based treatment guidelines that optimize patient outcomes. Clinical Data Mining for Physician Decision Making and Investigating Health Outcomes: Methods for Prediction and Analysis demonstrates how...

With the unprecedented advancements in computing power coupled with the societal movement towards inclusive settings, there is no better time than today to strive for assistive technology equity in terms of universal implementation within a transdisciplinary perspective. The Handbook of Research on...

The International Journal of Natural Computing Research (IJNCR) provides a forum for researchers to disseminate knowledge on natural computing and to serve as a reference source for state-of-the-art innovative findings. IJNCR provides a comprehensive view of all aspects of natural computing with...

The International Journal of Artificial Life Research (IJALR) provides a forum on the study of living systems, human level artificial systems, and machines that exhibit intelligent autonomous behavioral characteristics. Presenting researchers and practitioners with access to explore the developments of...

The International Journal of E-Health and Medical Communications (IJEHMC) focuses on theories, systems, methods, algorithms, and applications in healthcare, biomedicine, telemedicine, and medical communications. This journal acts as an interface between e-health and communication technologies and their...

Healthcare organisations increasingly use simulation and modelling techniques to analyse their procedures and policies. Modelling activities attempt to help meet the challenges, constraints and requirements for efficiency encountered in the modern healthcare environment. A variety of techniques are...

In this chapter, we consider the Charlson Comorbidity Index (CCI). This index is published, and the weights used to define risk adjustment in the logistic regression model are clearly identified as well. (Sundararajan et al., 2004) Therefore, we are able to examine this index in detail, and to see if...

This chapter introduces a new video based recognition system to recognize noncooperating individuals at a distance in video, who expose side views to the camera. Information from two biometric sources, side face and gait, is utilized and integrated for recognition. For side face, an enhanced side face...

The authors aim to design the Multi-agent system, in which the software agents interact with each other to diagnose a disease and decide the treatment plan(s). In this chapter, the authors present a novel approach of applying Probabilistic Neural Network (PNN) to classify the childhood disease and...

Working collaboratively, in widely distributed settings, poses unique challenges. The Academic Family Health Team, affiliated with the Northern Ontario School of Medicine, has had to adopt a wide variety of information sharing practices and collaborative software tools, in order to function effectively...

Health data and knowledge had been structured through medical classifications and taxonomies long before ontologies had acquired their pivot status of the Semantic Web. Although there is no consensus on a common definition of an ontology, it is necessary to understand their main features to be able to...

Healthcare organisations increasingly use simulation and modelling techniques to analyse their procedures and policies. Modelling activities attempt to help meet the challenges, constraints and requirements for efficiency encountered in the modern healthcare environment. A variety of techniques are...