Medical Informatics Europe 1991

Over the years, medical informatics has matured into a true scientific discipline. Fundamental and applied aspects are now taught in various fields of health, including medicine, dentistry, pharmacy, nursing and public health. Medical informatics is also often included in the curricula of many other disciplines, including the life sciences, engineering and economics.

Probabilistic Modelling in Bioinformatics and Medical Informatics has been written for researchers and students in statistics, machine learning, and the biological sciences. The first part of this book provides a self-contained introduction to the methodology of Bayesian networks. The following parts demonstrate how these methods are applied in bioinformatics and medical informatics. All three fields - the methodology of probabilistic modeling, bioinformatics, and medical informatics - are evolving very quickly. The text should therefore be seen as an introduction, offering both elementary tutorials as well as more advanced applications and case studies.

This volume highlights the integration of computational techniques and emphasizes the importance of developing new methodologies to tackle emerging health issues and improve patient outcomes. From continuous monitoring of bio-signals using advanced health technology devices to the application of multiscale mathematical modeling for analyzing complex biological systems, the book covers a range of innovative approaches. It explores the potential of 5G technology to revolutionize healthcare delivery by enabling faster, more reliable communication and improving access to medical resources, particularly in rural areas. The topics covered are timely and crucial, addressing global health challenges and directing future developments.

Probabilistic Modelling in Bioinformatics and Medical Informatics has been written for researchers and students in statistics, machine learning, and the biological sciences. The first part of this book provides a self-contained introduction to the methodology of Bayesian networks. The following parts demonstrate how these methods are applied in bioinformatics and medical informatics. All three fields - the methodology of probabilistic modeling, bioinformatics, and medical informatics - are evolving very quickly. The text should therefore be seen as an introduction, offering both elementary tutorials as well as more advanced applications and case studies.

This volume highlights the integration of computational techniques and emphasizes the importance of developing new methodologies to tackle emerging health issues and improve patient outcomes. From continuous monitoring of bio-signals using advanced health technology devices to the application of multiscale mathematical modeling for analyzing complex biological systems, the book covers a range of innovative approaches. It explores the potential of 5G technology to revolutionize healthcare delivery by enabling faster, more reliable communication and improving access to medical resources, particularly in rural areas. The topics covered are timely and crucial, addressing global health challenges and directing future developments.

Medical Informatics (MI) is an emerging interdisciplinary science that deals with clinical health-related information, its structure, acquisition and use. MI is grounded in the principles of computer science, computational intelligence, as well as the clinical and basic sciences. This book deals with the application of computational intelligence in medical informatics. Addressing the various issues of medical informatics using different computational intelligence approaches is the novelty of this edited volume. This volume comprises of 15 chapters including an introductory chapter giving the fundamental definitions and some important research challenges.

by Mark E. Frisse (Editor), Karl E. Misulis (Editor)
Essentials of Clinical Informatics provides a concise and user-friendly overview on important topics such as technical infrastructure, team members and their roles, informatics methods, policies and laws, implementation, and operations