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  2. Biomedical text mining - Wikipedia

    en.wikipedia.org/wiki/Biomedical_text_mining

    A text mining study assembled a collection of 709 core extracellular matrix proteins and associated proteins based on two databases: MatrixDB (matrixdb.univ-lyon1.fr) and UniProt. This set of proteins had a manageable size and a rich body of associated information, making it a suitable for the application of text mining tools.

  3. KNIME - Wikipedia

    en.wikipedia.org/wiki/KNIME

    KNIME (/ n aɪ m / ⓘ), the Konstanz Information Miner, [2] is a free and open-source data analytics, reporting and integration platform.KNIME integrates various components for machine learning and data mining through its modular data pipelining "Building Blocks of Analytics" concept.

  4. Examples of data mining - Wikipedia

    en.wikipedia.org/wiki/Examples_of_data_mining

    An example of data mining related to an integrated-circuit (IC) production line is described in the paper "Mining IC Test Data to Optimize VLSI Testing." [12] In this paper, the application of data mining and decision analysis to the problem of die-level functional testing is described. Experiments mentioned demonstrate the ability to apply a ...

  5. Bivariate data - Wikipedia

    en.wikipedia.org/wiki/Bivariate_data

    In statistics, bivariate data is data on each of two variables, where each value of one of the variables is paired with a value of the other variable. [1] It is a specific but very common case of multivariate data. The association can be studied via a tabular or graphical display, or via sample statistics which might be used for inference.

  6. Biomedical data science - Wikipedia

    en.wikipedia.org/wiki/Biomedical_data_science

    Biomedical data science is a multidisciplinary field which leverages large volumes of data to promote biomedical innovation and discovery. Biomedical data science draws from various fields including Biostatistics, Biomedical informatics, and machine learning, with the goal of understanding biological and medical data.

  7. Bioinformatics - Wikipedia

    en.wikipedia.org/wiki/Bioinformatics

    The primary goal of bioinformatics is to increase the understanding of biological processes. What sets it apart from other approaches is its focus on developing and applying computationally intensive techniques to achieve this goal. Examples include: pattern recognition, data mining, machine learning algorithms, and visualization.

  8. List of statistical software - Wikipedia

    en.wikipedia.org/wiki/List_of_statistical_software

    gretl is an example of an open-source statistical package. ADaMSoft – a generalized statistical software with data mining algorithms and methods for data management; ADMB – a software suite for non-linear statistical modeling based on C++ which uses automatic differentiation; Chronux – for neurobiological time series data; DAP – free ...

  9. List of open-source health software - Wikipedia

    en.wikipedia.org/wiki/List_of_open-source_health...

    Galaxy is a web platform for data-intensive biology using geographically-distributed supercomputers. [56] LabKey Server is an extensible platform for integrating, analyzing and sharing all types of biomedical research data. It provides secure, web-based access to research data and includes a customizable data processing pipeline.

  1. Related searches 5 examples of bivariate data mining applications in healthcare technology

    bivariate data wikipediabiomedical text mining methods
    data mining wikipedia