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  2. Data mining - Wikipedia

    en.wikipedia.org/wiki/Data_mining

    Data mining is the process of extracting and discovering patterns in large data sets involving methods at the intersection of machine learning, statistics, and database systems. [1] Data mining is an interdisciplinary subfield of computer science and statistics with an overall goal of extracting information (with intelligent methods) from a data set and transforming the information into a ...

  3. Predictive analytics - Wikipedia

    en.wikipedia.org/wiki/Predictive_analytics

    Predictive analytics is often defined as predicting at a more detailed level of granularity, i.e., generating predictive scores (probabilities) for each individual organizational element. This distinguishes it from forecasting. For example, "Predictive analytics—Technology that learns from experience (data) to predict the future behavior of ...

  4. Artificial intelligence in healthcare - Wikipedia

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

    Artificial intelligence in healthcare is the application of artificial intelligence (AI) to copy human cognition in the analysis, presentation, and understanding of complex medical and health care data, or to exceed human capabilities by providing new ways to diagnose, treat, or prevent disease.

  5. Healthcare Effectiveness Data and Information Set - Wikipedia

    en.wikipedia.org/wiki/Healthcare_Effectiveness...

    The Healthcare Effectiveness Data and Information Set ( HEDIS) is a widely used set of performance measures in the managed care industry, developed and maintained by the National Committee for Quality Assurance (NCQA). HEDIS was designed to allow consumers to compare health plan performance to other plans and to national or regional benchmarks.

  6. Data science - Wikipedia

    en.wikipedia.org/wiki/Data_science

    Data science is an interdisciplinary field [10] focused on extracting knowledge from typically large data sets and applying the knowledge and insights from that data to solve problems in a wide range of application domains. The field encompasses preparing data for analysis, formulating data science problems, analyzing data, developing data ...

  7. RapidMiner - Wikipedia

    en.wikipedia.org/wiki/RapidMiner

    RapidMiner provides data mining and machine learning procedures including: data loading and transformation (ETL), data preprocessing and visualization, predictive analytics and statistical modeling, evaluation, and deployment. RapidMiner is written in the Java programming language. RapidMiner provides a GUI to design and execute analytical ...

  8. Health Data Insight - Wikipedia

    en.wikipedia.org/wiki/Health_Data_Insight

    Health Data Insight (HDI) CiC is a social enterprise (community interest company), that researches and data mines NHS England figures to find population health and epidemiological or demographic insights for effective NHS treatments by public health informatics, headquartered in the east of Cambridge .

  9. Health care analytics - Wikipedia

    en.wikipedia.org/wiki/Health_care_analytics

    Health care analytics is a growing industry in the United States, expected to grow to more than $31 billion by 2022. [2] The industry focuses on the areas of clinical analysis, financial analysis, supply chain analysis, as well as marketing, fraud and HR analysis. Health care analytics allows for the examination of patterns in various ...

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