Knowledge Modelling and Big Data Analytics in Healthcare: Advances and Applications focuses on automated analytical techniques for healthcare applications used to extract knowledge from a vast amount of data.
Computational Genomics with R provides a starting point for beginners in genomic data analysis and also guides more advanced practitioners to sophisticated data analysis techniques in genomics.
Bioinformatics for Beginners: Genes, Genomes, Molecular Evolution, Databases and Analytical Tools provides a coherent and friendly treatment of bioinformatics for any student or scientist within biology who has not routinely performed bioinformatic analysis.
Provides an international, unifying perspective, based on the ''public choice'' tradition, to explain how patient-citizens interact with political institutions to determine health policies.
Using an evidence-based, critical, population health approach, this book provides a comprehensive analysis of the key errors and most effective interventions to contain the COVID-19 pandemic.
Analyzing Longitudinal Clinical Trial Data: A Practical Guide provides practical and easy to implement approaches for bringing the latest theory on analysis of longitudinal clinical trial data into routine practice.
The book presents the latest advances in research into health effects of air pollution, with heavy motor vehicle traffic or cigarette smoke as the exemplar of pollution.
The SARS-CoV-2 virus, and the associated COVID-19 pandemic, is perhaps the greatest threat to life, and lifestyles, the world has known in more than a century.
In dem vorliegenden Werk beschreiben ausgewiesene Experten, welche diagnostischen und allgemeinen therapeutischen Maßnahmen bei Infektionen mit multiresistenten Erregern durchgeführt werden sollten und welche Strategien erfolgversprechend sind.
In the last two decades, machine learning has developed dramatically and is still experiencing a fast and everlasting change in paradigms, methodology, applications and other aspects.
Zoonotic diseases - pathogens transmitted from animals to people - offer particularly challenging problems for global health institutions and actors, given the complex social-ecological dynamics at play.
An analysis of infectious disease as a threat to national security that examines the destabilizing effects of the 1918 Spanish Flu pandemic, HIV/AIDS in sub-Saharan Africa, SARS, and Mad Cow Disease.
Theory of Drug Development presents a formal quantitative framework for understanding drug development that goes beyond simply describing the properties of the statistics in individual studies.
This contributed volume convenes selected, peer-reviewed works presented at the BIOMAT 2021 International Symposium, which was virtually held on November 1-5, 2021, with its organization staff based in Rio de Janeiro, Brazil.
The book examines the role of artificial intelligence during the COVID-19 pandemic, including its application in i) early warnings and alerts, ii) tracking and prediction, iii) data dashboards, iv) diagnosis and prognosis, v) treatments, and cures, and vi) social control.
While mapped data provide a common ground for discussions between the public, the media, regulatory agencies, and public health researchers, the analysis of spatially referenced data has experienced a phenomenal growth over the last two decades, thanks in part to the development of geographical information systems (GISs).
Globally, HIV-associated tuberculosis is one of the most important causes of infection-related death, accounting for one in every three HIV deaths and over 300,000 in 2017 alone.
Viruses do not behave as other microbes; their life cycles require infecting healthy cells, commandeering their cellular apparatus, replicating and then killing the host cell.
This book discusses the current state of cancer pathway as it is relevant to sub-Saharan Africa and highlights differences in epidemiology and the underlying problems with management.
This book discusses the current state of cancer pathway as it is relevant to sub-Saharan Africa and highlights differences in epidemiology and the underlying problems with management.
This textbook and guide focuses on methodologies for bias analysis in epidemiology and public health, not only providing updates to the first edition but also further developing methods and adding new advanced methods.
A complete guide to the key statistical concepts essential for the design and construction of clinical trials As the newest major resource in the field of medical research, Methods and Applications of Statistics in Clinical Trials, Volume 1: Concepts, Principles, Trials, and Designs presents a timely and authoritative reviewof the central statistical concepts used to build clinical trials that obtain the best results.
Longitudinal Structural Equation Modeling is a comprehensive resource that reviews structural equation modeling (SEM) strategies for longitudinal data to help readers determine which modeling options are available for which hypotheses.
This book focuses on the Chinese health impact induced by ambient temperature variation, especially the epidemiology-based exposure-response relationship with the mortality and morbidity from respiratory, cardiovascular diseases, and mental health among Chinese population.
Clinical Trial Optimization Using R explores a unified and broadly applicable framework for optimizing decision making and strategy selection in clinical development, through a series of examples and case studies.
A thoroughly updated new edition of the essential reference on the design, practice, and analysis of clinical trials Clinical Trials Dictionary: Terminology and Usage Recommendations, Second Edition presents clear, precise, meticulously detailed entries on all aspects of modern-day clinical trials.
Marketing text: This book covers the overlap between informatics, computer science, philosophy of causation, and causal inference in epidemiology and population health research.
Epidemiology Kept Simple introduces the epidemiological principles and methods that are increasingly important in the practice of medicine and public health.
Now in its Fourth Edition, An Introduction to Medical Statistics continues to be a 'must-have' textbook for anyone who needs a clear logical guide to the subject.
