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Die Intensivmedizin
Der Klassiker der Intensivmedizin in 13. Auflage! In diesem großen Standardwerk für die Intensivmedizin finden Sie alle Themen der modernen, interdisziplinären Intensivmedizin zusammengetragen. Es bietet höchsten Standard für die ärztliche Weiterbildung und ist gleichzeitig ein wertvolles Nachschlagewerk im klinischen Alltag für Ärztinnen und Ärzte auf Intensivstationen aller Fachrichtungen, u.a. aus Anästhesiologie, Innere Medizin, Chirurgie und Neurologie. Dargestellt werden u.a. moderne Diagnostik, Monitoring - und Therapieverfahren, intensivmedizinisch relevante Krankheitsbilder und Notfälle, Intensivtherapie nach neurochirurgischen, herzchirurgischen, thoraxchirurgischen und abdominalchirurgischen Eingriffen sowie ethische, psychosoziale und pflegerische Aspekte. Weitere Themen sind: Teleintensivmedizin, Weiterbildung und Kompetenzvermittlung in der Intensivmedizin, Langzeitfolgen nach Intensivtherapie, Akut- und Frührehabilitation, Palliativmedizin in der Intensivmedizin, Risikomanagement und Fehlerkultur. Die 13. Auflage erscheint komplett überarbeitet und aktualisiert.
Physician's Guide to the Diagnosis, Treatment, and Follow-Up of Inherited Metabolic Diseases
This book, combining and updating two previous editions, is a unique source of information on the diagnosis, treatment, and follow-up of metabolic diseases. The clinical and laboratory data characteristic of rare metabolic conditions can be bewildering for both clinicians and laboratory personnel. Reference laboratory data are scattered, and clinical descriptions may be obscure. The Physician’s Guide documents the features of more than five hundred conditions, grouped according to type of disorder, organ system affected (e.g. liver, kidney, etc) or phenotype (e.g. neurological, hepatic, etc). Relevant clinical findings are provided and pathological values for diagnostic metabolites highlighted. Guidance on appropriate biochemical genetic testing is provided. Established experimental therapeutic protocols are described, with recommendations on follow-up and monitoring. The authors are acknowledged experts, and the book will be a valuable desk reference for all who deal with inherited metabolic diseases.
Practical Machine Learning with H2O
Machine learning has finally come of age. With H2O software, you can perform machine learning and data analysis using a simple open source framework that’s easy to use, has a wide range of OS and language support, and scales for big data. This hands-on guide teaches you how to use H20 with only minimal math and theory behind the learning algorithms. If you’re familiar with R or Python, know a bit of statistics, and have some experience manipulating data, author Darren Cook will take you through H2O basics and help you conduct machine-learning experiments on different sample data sets. You’ll explore several modern machine-learning techniques such as deep learning, random forests, unsupervised learning, and ensemble learning. Learn how to import, manipulate, and export data with H2O Explore key machine-learning concepts, such as cross-validation and validation data sets Work with three diverse data sets, including a regression, a multinomial classification, and a binomial classification Use H2O to analyze each sample data set with four supervised machine-learning algorithms Understand how cluster analysis and other unsupervised machine-learning algorithms work
Machine Learning Using R
Examine the latest technological advancements in building a scalable machine learning model with Big Data using R. This book shows you how to work with a machine learning algorithm and use it to build a ML model from raw data. All practical demonstrations will be explored in R, a powerful programming language and software environment for statistical computing and graphics. The various packages and methods available in R will be used to explain the topics. For every machine learning algorithm covered in this book, a 3-D approach of theory, case-study and practice will be given. And where appropriate, the mathematics will be explained through visualization in R. All the images are available in...
ACNE and ROSACEA
The third, revised edition of this lavishly illustrated book covers all aspects of acne, acne-like disorders and rosacea, including its physiology, pathology, bacteriology, and endocrinology, with special emphasis placed on the histopathology. The text is supplemented by selected references and a richly illustrated portfolio of histopathological pictures. The authors critically examine the spectrum of pharmacological and physical methods of controlling acne, acne-like diseases, and rosacea, and go on to present in detail their personal strategies for successful treatment.
Volatile Biomarkers
Volatile organic compounds (VOCs) in exhaled breath, sweat or urine carry much information on the state of human health. The role of VOCs in clinical diagnosis and therapeutic monitoring is expected to become increasingly significant due to recent advances in the field. Volatile Biomarkers: Non-Invasive Diagnosis in Physiology and Medicine includes the latest discoveries and applications for VOCs from the world's foremost scientists and clinicians working in this emerging analytic area.
Detection and Analysis of SARS Coronavirus
Detection and Analysis of SARS Coronavirus Detecting and analyzing the COVID-19 pandemic with biosensor technology The highly contagious SARS CoV-2 pathogen has challenged health systems around the world as they struggle to detect and monitor the spread of the pathogen. In Detection and Analysis of SARS Coronavirus: Advanced Biosensors for Pandemic Viruses and Related Pathogens expert chemists Chaudhery Mustansar Hussain and Sudheesh K. Shukla deliver a practical analysis of how contactless coronavirus detectors may be developed using existing biosensor technology. The editors outline current challenges in the field, the bioanalytical principles for coronavirus detection, and available biose...
Disruptive Analytics
Learn all you need to know about seven key innovations disrupting business analytics today. These innovations—the open source business model, cloud analytics, the Hadoop ecosystem, Spark and in-memory analytics, streaming analytics, Deep Learning, and self-service analytics—are radically changing how businesses use data for competitive advantage. Taken together, they are disrupting the business analytics value chain, creating new opportunities. Enterprises who seize the opportunity will thrive and prosper, while others struggle and decline: disrupt or be disrupted. Disruptive Business Analytics provides strategies to profit from disruption. It shows you how to organize for insight, build...
Handbook of Big Data
Handbook of Big Data provides a state-of-the-art overview of the analysis of large-scale datasets. Featuring contributions from well-known experts in statistics and computer science, this handbook presents a carefully curated collection of techniques from both industry and academia. Thus, the text instills a working understanding of key statistical
