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Data and Text Processing for Health and Life Sciences

and describe popular data resources in Health and Life Sciences. The third chapter, Data Retrieval, starts by introducing a common data;

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Social sciences via network analysis and computation

in network analysis, machine learning, data mining, data clustering and classifications in the contents of social sciences. It also covers various;

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Student Solutions Manual to accompany Calculus for Life Sciences, First Edition

problems. The biological examples from health science, ecology, microbiology, genetics, and other domains, many based on cited data, are key;

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Data Integration in the Life Sciences

semantic web services, pipelines for genome-wide functional annotation, automation of pipelines providing data discovery and access to distributed;

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Data Analysis Using Sas

programming, and data/file management than any available text on the market. It provides students with a hands-on, exercise-heavy method for learning;

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Health Monitoring and Personalized Feedback using Multimedia Data

This book presents how multimedia data analysis, information retrieval and indexing are central for comprehensive, personalized, adaptive;

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The Practice Of Statistics In The Life Sciences

sciences...With its focus on life science data sets, examples, and exercises, The Practice of Statistics in the Life Sciences (PSLS;

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Methods and Applications of Statistics in the Life and Health Sciences

analysis, missing data techniques, and cluster analysis for handling the wide array of modern issues in the life and health sciences. With its;

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Collecting, Processing and Presenting Geoscientific Information

the visualization of data with MATLAB, and on preparing scientific presentations. As with the book MATLAB Recipes for Earth Sciences-4rd;

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Ethics and Integrity in Health and Life Sciences Research

Life and health sciences and biomedical studies have developed rapidly over the last few decades raising previously unanticipated ethical;

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Visualization in Medicine and Life Sciences II

For some time, medicine has been an important driver for the development of data processing and visualization techniques. Improved;

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Signal Processing and Machine Learning for Biomedical Big Data

of signal processing and machine learning for big biomedical data. This text aimed at the curious researcher working in the field, as well as;

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Intelligent Data Processing

volume are organized in topical sections on machine learning theory with applications; intelligent data processing in life and social sciences;

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Introduction to Brain Topography

sciences, mathematics, neurophysiology, and anatomy. Topics include fundamentals of data acquisition, mapping, and post-processing; source modeling;

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Visuospatial Processing for Education in Health and Natural Sciences

is accumulating research showing the importance of visuospatial processing for education in diverse health sciences (e.g., medicine, anatomy, surgery) and;

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Smart Healthcare Systems

, postgraduate students, academicians, and scholars working in the area of data science and its application to health sciences. Also, the book;

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Health Sciences Literature Review Made Easy

Health Sciences Literature Review Made Easy, Sixth Edition is the ultimate 'how to' guide for learning the practical and useful methods for;

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Health Data Processing

Health Data Processing: Systemic Approaches focuses on the design of health information systems and touches on the main themes of medical;

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Data Integration in the Life Sciences

, akeycomponentforsemanticintegration;Web servicesasanimportanttechn- ogy for data integration in the life sciences; data and text mining techniques for discovering and;

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Introduction to Biological Physics for the Health and Life Sciences

in the health and life sciences. Designed to provide a solid foundation in physics for students following health science courses, the text;

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ICT Innovations 2019. Big Data Processing and Mining

, machine learning, life and medical sciences, health care information systems, bioinformatics.;

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Complex Surveys

applied statisticians and sophisticated users of statistics in the health and social sciences, the text employs large data sets throughout to;

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English for Health Sciences

The package includes Text and Audio CD for English for Health Sciences;

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Signal Processing Techniques for Computational Health Informatics

in biomedical applications, including: bio-signal origin and dynamics, sensors used for data acquisition, artefact and noise removal techniques, feature;

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Introductory Statistics for the Health Sciences

Introductory Statistics for the Health Sciences takes students on a journey to a wilderness where science explores the unknown, providing;

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Introductory Statistics for the Health Sciences

Introductory Statistics for the Health Sciences takes students on a journey to a wilderness where science explores the unknown, providing;

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Prognostics and Health Management

practical approach for improving system reliability using conditioned-based data (CBD) to the monitoring and management of health of systems. This;

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