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Data Visualization for Biomedical Scientists

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Intelligent Data Analysis for Biomedical Applications

Intelligent Data Analysis for Biomedical Applications: Challenges and Solutions presents specialized statistical, pattern recognition;

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Giving Bodies Back To Data

An examination of the bodily, situated aspects of data-visualization work, looking at visualization practices around the development;

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Data Visualization and Knowledge Engineering: Spotting Data Points with Artificial Intelligence

important role. Presenting research in areas like data visualization and knowledge engineering, this book is a valuable resource for students;

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Data Science

, Machine Learning, and Big Data - That You Don't Data Science for Business: Predictive Modeling, Data Mining, Data Analytics, Data Warehousing;

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Data Analysis and Visualization in Genomics and Proteomics

Data Analysis and Visualization in Genomics and Proteomics is the first book addressing integrative data analysis and visualization in this;

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Interactive Data Visualization with Python

Manipulate plotting parameters and styles to create appealing plots Customize data visualization for different audiences Design data visualizations;

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Biomedical Data Management and Graph Online Querying

information retrieval and data analytics for electronic medical records; data management and visualization of medical data; biomedical data sharing;

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Heterogeneous Data Management, Polystores, and Analytics for Healthcare

organized in topical sections as follows: Privacy, Security and/or Policy Issues for Heterogenous Data; COVID-19 Data Analytics and Visualization;

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Data Analytics in Biomedical Engineering and Healthcare

in health sciences and biomedical data. The book is useful for those working with big data analytics in biomedical research, medical industries, and;

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Computer Methods, Imaging and Visualization in Biomechanics and Biomedical Engineering

approaches, FEM models, and high-resolution imaging and real-time visualization methods applied for biomedical purposes. Given the scope of its;

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Statistics for Biomedical Engineers and Scientists

Statistics for Biomedical Engineers and Scientists: How to Analyze and Visualize Data provides an intuitive understanding of the;

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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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Correspondence Analysis in Practice

versatile method of correspondence analysis (CA) can be used for data visualization in a wide variety of situations. CA and its variants, subset CA;

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Correspondence Analysis in Practice

versatile method of correspondence analysis (CA) can be used for data visualization in a wide variety of situations. CA and its variants, subset CA;

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The Data Visualization Workshop

. Starting with an introduction to data visualization, this book shows you how to first prepare raw data for visualization using NumPy and pandas;

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Visualizations and Dashboards for Learning Analytics

This edited volume fills the gaps in existing literature on visualization and dashboard design for learning analytics. To do so, it;

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Epigenetics and Proteomics of Leukemia

fractionation and visualization, proteomic data processing, image acquisition and data anlaysis, and more. Protein localization in leukemia is also;

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Cytopathology

Biomedical scientists are the foundation of modern healthcare, from cancer screening to diagnosing HIV, from blood transfusion for surgery;

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MATLAB Programming for Biomedical Engineers and Scientists

MATLAB Programming for Biomedical Engineers and Scientists, Second Edition provides an easy-to-learn introduction to the fundamentals;

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Biomedical Information Technology

Biomedical Information Technology, Second Edition, contains practical, integrated clinical applications for disease detection;

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Statistical Modeling in Biomedical Research

This edited collection discusses the emerging topics in statistical modeling for biomedical research. Leading experts in the frontiers;

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Visualization of Time-Oriented Data

visualization of time-oriented data along three key questions: what is being visualized (data), why something is visualized (user tasks), and how it;

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Computational Bioengineering and Bioinformatics

prediction, biomedical image processing, analysis and visualization, and high-performance computing. It also discusses state-of-the-art tools for;

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Computational Bioengineering and Bioinformatics

prediction, biomedical image processing, analysis and visualization, and high-performance computing. It also discusses state-of-the-art tools for;

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Biomedical Information Technology

imaging to healthcare knowledge management, the storage, access and analysis of data contributes significantly to biomedical research and practice;

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Graphical Thinking for Science and Technology Through Knowledge Visualization

data visualization, this book is ideally designed for software engineers, instructional designers, researchers, scientists, artists, marketers;

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