Adding to a growing body of knowledge about how the social-ecological dynamics of the Anthropocene affect human health, this collection presents strategies that both address core challenges, including climate change, stagnating economic growth, and rising socio-political instability, and offers novel frameworks for living well on a finite planet.
Nowadays bioinformaticians and geneticists are faced with myriad high-throughput data usually presenting the characteristics of uncertainty, high dimensionality and large complexity.
Die Nutzung von Routinedaten, auch Sozialdaten genannt, wie sie insbesondere bei den Krankenkassen anfallen, hat in den letzten Jahren stetig zugenommen.
MEDICAL IMAGING AND HEALTH INFORMATICS Provides a comprehensive review of artificial intelligence (AI) in medical imaging as well as practical recommendations for the usage of machine learning (ML) and deep learning (DL) techniques for clinical applications.
With the increasing availability of omics data and mounting evidence of the usefulness of computational approaches to tackle multi-level data problems in bioinformatics and biomedical research in this post-genomics era, computational biology has been playing an increasingly important role in paving the way as basis for patient-centric healthcare.
The book provides a unique collection of in-depth mathematical, statistical, and modeling methods and techniques for life sciences, as well as their applications in a number of areas within life sciences.
This practical guide is designed for students and researchers with an existing knowledge of R who wish to learn how to apply it in an epidemiological context and exploit its versatility.
An accessible guide that introduces students in all areas of life sciences to bioinformatics Basic Applied Bioinformatics provides a practical guidance in bioinformatics and helps students to optimize parameters for data analysis and then to draw accurate conclusions from the results.
An accessible guide that introduces students in all areas of life sciences to bioinformatics Basic Applied Bioinformatics provides a practical guidance in bioinformatics and helps students to optimize parameters for data analysis and then to draw accurate conclusions from the results.
Both a translation and critique of an early 20th century seminal French text on the physical effects of corseting, The Bad Corset explores contemporary anti-woman bias to challenge the commonly accepted assertions about corsetry's contribution to disease, disfigurement, and disorders of the female body.
This book is designed to introduce biologists, clinicians and computational researchers to fundamental data analysis principles, techniques and tools for supporting the discovery of biomarkers and the implementation of diagnostic/prognostic systems.
The Updated and Extensively Revised Guide to Developing Efficient Health Information Management Systems Health Information Management is the most comprehensive introduction to the study and development of health information management (HIM).
Nursing informatics (NI) is the specialty that integrates nursing science with multiple information and analytical sciences to identify, define, manage and communicate data, information, knowledge and wisdom in nursing practice.
Making Gender endeavours to understand how the HPV vaccine became gendered within the Canadian policy landscape - when the virus is gender blind and is linked to cancer in all genders - and how women's experiences with this "e;gendered risk"e; have been folded into their vaccine decision-making.
Nursing Informatics: Scope and Standards of Practice, 3rd Edition describes a competent level of nursing care at each level of nursing informatics practice and provides comprehensive overviews of the dynamic and complex practice of the nursing informatics
En un sector tan competitivo como es el editorial, el hecho de que un libro científico amplíe el número de ediciones año a año es sinónimo de interés por parte de los lectores.
This book describes the integration of high-throughput bioinformatics data from multiple platforms to inform our understanding of the functional consequences of genomic alterations.
Drawing on the concept of resilient healthcare, this book explores multimodally embedded everyday practices of healthcare professionals in the UK and Japan, utilising novel technology, such as eye-tracking glasses, to inform what constitutes good practice.
Nowadays bioinformaticians and geneticists are faced with myriad high-throughput data usually presenting the characteristics of uncertainty, high dimensionality and large complexity.
The network approaches of systems pharmacology and toxicology serve as early predictors of the most relevant screening approach to pursue both in drug discovery and development and ecotoxicological assessments.
Introducing a handbook for gene regulatory network research using evolutionary computation, with applications for computer scientists, computational and system biologists This book is a step-by-step guideline for research in gene regulatory networks (GRN) using evolutionary computation (EC).
The Updated and Extensively Revised Guide to Developing Efficient Health Information Management Systems Health Information Management is the most comprehensive introduction to the study and development of health information management (HIM).
Put ideas into practice using theoretical concepts and real-life examples The MBA Handbook, 9th Edition by Cameron is a vital resource for MBA and other postgraduate management students to gain maximum learning benefit from their programme.
The Most Comprehensive and Cutting-Edge Guide to Statistical Applications in Biomedical Research With the increasing use of biotechnology in medical research and the sophisticated advances in computing, it has become essential for practitioners in the biomedical sciences to be fully educated on the role statistics plays in ensuring the accurate analysis of research findings.
The first edition of Medical Bioinformatics and Biochemistry (Diabormatics) explains how medical biochemistry and bioinformatics could be used as a tool for analyzing the research data related to disease diagnosis and treatment.
