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Data Handling and Analysis

cytopathology to transfusion science. Data Handling and Analysis is the most relevant and useful statistics and data analysis text for biomedical;

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Data-Handling in Biomedical Science

Packed with worked examples and problems, this book will help the reader improve their confidence and skill in data-handling. The;

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Data-Handling in Biomedical Science

Packed with worked examples and problems, this book will help the reader improve their confidence and skill in data-handling. The;

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Advances in Geo-Spatial Information Science

revised papers presented at the joint International Conference on Theory, Data Handling and Modelling in GeoSpatial Information Science (Hong Kong;

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Handbook of Data Science Approaches for Biomedical Engineering

Handbook of Data Science Approaches for Biomedical Engineering covers the research issues and concepts of biomedical engineering;

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Strategies in Biomedical Data Science

An essential guide to healthcare data problems, sources, and solutions Strategies in Biomedical Data Science provides medical professionals;

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Data Literacy

Data Literacy: How to Make Your Experiments Robust and Reproducible provides an overview of basic concepts and skills in handling data;

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Data Analytics in Biomedical Engineering and Healthcare

Data Analytics in Biomedical Engineering and Healthcare explores key applications using data analytics, machine learning, and deep learning;

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Quantitative Medical Data Analysis Using Mathematical Tools And Statistical Techniques

Quantitative biomedical data analysis is a fast-growing interdisciplinary area of applied and computational mathematics, statistics;

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Statistical Modeling in Biomedical Research

and biomedical science. It covers topics in: Next generation sequence data analysis Deep learning, precision medicine, and their;

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Statistical Modeling in Biomedical Research: Contemporary Topics and Voices in the Field

and biomedical science. It covers topics in: Next generation sequence data analysis Deep learning, precision medicine, and their applications;

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Data Science and Predictive Analytics

, contemporary learning-based data science techniques, computational algorithm development, optimization theory, statistical computing, and biomedical;

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Deep Learning for Data Analytics

of domains including data science, data analytics and biomedical engineering. Deep Learning for Data Analytics: Foundations, Biomedical Applications;

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Large-Scale Biomedical Science

Research Projects 6. Training and Career Structures in Biomedical Research 7. Intellectual Property and Access to Research Tools and Data 8;

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Handbook of Neuroimaging Data Analysis

This book explores various state-of-the-art aspects behind the statistical analysis of neuroimaging data. It examines the development;

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Introduction To The Science Of Medical Imaging

biomedical imaging an essential tool in clinical medicine and biomedical research. Key technological advances include MRI, positron emission;

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Handbook of Neuroimaging Data Analysis

This book explores various state-of-the-art aspects behind the statistical analysis of neuroimaging data. It examines the development;

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Advances in Biomedical Science

Biomedical sciences refer to a group of applied sciences that apply aspects of natural science for use in healthcare and public health;

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Hands-On Data Science for Biologists Using Python

Hands-on Data Science for Biologists using Python has been conceptualized to address the massive data handling needs of modern-day;

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Hands-On Data Science for Biologists Using Python

Hands-on Data Science for Biologists using Python has been conceptualized to address the massive data handling needs of modern-day;

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Interpreting Biomedical Science

Interpreting Biomedical Science: Experiment, Evidence, and Belief discusses what can go wrong in biological science, providing an unbiased;

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Biomedical Signal Processing

big data, and looks at applications ranging from medical electronics to data mining of electronic medical records. Topics covered include;

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Data Science: Theory and Applications

of Data Handling Techniques to Predict Pavement Performance, Analysis of individual treatment effects for enhanced inferences in medicine, and;

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Practical Data Science

handling of polyglot data types in a data lake for repeatable results Who This Book Is For Data scientists and data engineers who are required to;

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Statistical Analysis of Circular Data

. Statistical methods for handling such data have developed rapidly in the last twenty years, particularly data display, correlation, regression and;

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Advanced Digital Image Processing and Its Applications in Big Data

various technologies and strategies used in digital image processing as well as handling big data, using machine-learning techniques. This book;

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Advanced Digital Image Processing and Its Applications in Big Data

various technologies and strategies used in digital image processing as well as handling big data, using machine-learning techniques. This book;

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