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  2. Clinical data repository - Wikipedia

    en.wikipedia.org/wiki/Clinical_data_repository

    The use of Clinical Data Repositories could provide a wealth of knowledge about patients, their medical conditions, and their outcome. The database could serve as a way to study the relationship and potential patterns between disease progression and management. The term "Medical Data Mining" has been coined for this method of research.

  3. Biomedical data science - Wikipedia

    en.wikipedia.org/wiki/Biomedical_data_science

    Many biomedical data science projects apply machine learning to such datasets. [2] [3] These characteristics, while also present in many data science applications more generally, make biomedical data science a specific field. Examples of biomedical data science research include: Computational genomics; Computational imaging [3] [4]

  4. Biological data - Wikipedia

    en.wikipedia.org/wiki/Biological_data

    Third, the presence of data mining in biological databases can make it easier for individuals with political, social, or economic agendas to manipulate research findings to sway public opinion. [13] [4] An example of database misuse occurred in 2009 when the Journal of Psychiatric Research published a study that associated abortion to ...

  5. Biomedical text mining - Wikipedia

    en.wikipedia.org/wiki/Biomedical_text_mining

    An example of a text mining protocol used in a study of protein-protein complexes, or protein docking [91] Text mining applications in the biomedical field include computational approaches to assist with studies in protein docking , [ 91 ] protein interactions , [ 92 ] [ 93 ] and protein-disease associations. [ 94 ]

  6. 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.

  7. 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.

  8. SPSS Modeler - Wikipedia

    en.wikipedia.org/wiki/SPSS_Modeler

    IBM SPSS Modeler is a data mining and text analytics software application from IBM.It is used to build predictive models and conduct other analytic tasks. It has a visual interface which allows users to leverage statistical and data mining algorithms without programming.

  9. Artificial intelligence in healthcare - Wikipedia

    en.wikipedia.org/wiki/Artificial_intelligence_in...

    Artificial intelligence in healthcare is the application of artificial intelligence (AI) to analyze and understand complex medical and healthcare data. In some cases, it can exceed or augment human capabilities by providing better or faster ways to diagnose, treat, or prevent disease.