Weaving anthropological and philosophical reflections on the ordinary into her analysis, Das points toward a new way of interpreting violence in societies and cultures around the globe.
Taking a novel approach to the contradictory impulses of violence and care, illness and healing, this book radically shifts the way we think of the interrelations of institutions and experiences in a globalizing world. Living and Dying in the Contemporary World is not just another reader in medical anthropology but a true tour de forceÑa deep exploration of all that makes life unbearable and yet livable through the labor of ordinary people. This book comprises forty-four chapters by scholars whose ethnographic and historical work is conducted around the globe, including South Asia, East Asia, Latin America, Africa, the Middle East, Europe, and the United States. Bringing together the work of established scholars with the vibrant voices of younger scholars, Living and Dying in the Contemporary World will appeal to anthropologists, sociologists, health scientists, scholars of religion, and all who are curious about how to relate to the rapidly changing institutions and experiences in an ever more connected world. Ê
This reference demonstrates the development of a context aware decision-making health informatics system with the objective to automate the analysis of human centric wellness and assist medical decision-making in healthcare. The book introduces readers to the basics of a clinical decision support system. This is followed by chapters that explain how to analyze healthcare data for anomaly detection and clinical correlations. The next two sections cover machine learning techniques for object detection and a case study for hemorrhage detection. These sections aim to expand the understanding of simple and advanced neural networks in health informatics. The authors also explore how machine learning model choices based on context can assist medical professionals in different scenarios. Key Features : -Reader-friendly format with clear headings, introductions and summaries in each chapter -Detailed references for readers who want to conduct further research -Expert contributors providing authoritative knowledge on machine learning techniques and human-centric wellness -Practical applications of data science in healthcare designed to solve problems and enhance patient wellbeing -Deep learning use cases for different medical conditions including hemorrhages, gallbladder stones and diabetic retinopathy Demonstrations of fast and efficient CNN models with varying parameters such as Single shot detector, R-CNN, Mask R-CNN, modified contrast enhancement and improved LSTM models. This reference is intended as a primary resource for professionals, researchers, software developers and technicians working in healthcare informatics systems and medical diagnostics. It also serves as a supplementary resource for learners in bioinformatics, biomedical engineering and medical informatics programs and anyone who requires technical knowledge about algorithms in medical decision support systems.
Rapid advances are taking place in the field of imaging. This results in the need for re-evaluating and redefining the role of a modality in different clinical scenarios. Coupled to this, particularly in paediatric radiology is the need for ensuring patient safety. The industry has made significant attempts to minimize radiation exposures in imaging and this is pre-requisite that cannot be over-emphasized in children. Paediatric radiology is already a well-established subspecialty in the West, but in the developing world due to the paucity of trained radiologists in proportion to our population, every practicing radiologist needs to be aware of the special needs and disease entities in children. The third edition of the book has been designed to include current recommendations, guidelines and existing knowledge on the subject. The content of all chapters has been updated, while some have been significantly restructured. New chapters have also been added. It is our earnest hope that our readers will find this text informative and that it will aid in their learning process and daily practice.
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