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Showing 1 to 10 of 10 for “"Health Analytics"”.

  1. Airline operating cost reduction through enhanced engine health analytics

    Engine Health Management (EHM) is a comprehensive maintenance service offered by engine manufacturer Pratt & Whitney (PW) to its airline customers. In its current form, engine performance is monitored through recorded physical metrics, such as gas temperature, pressure, and altitude, taken as …

    mit Repository record for Airline operating cost reduction through enhanced engine health analytics (opens in a new tab)

  2. Airline operating cost reduction through enhanced engine health analytics

    Engine Health Management (EHM) is a comprehensive maintenance service offered by engine manufacturer Pratt & Whitney (PW) to its airline customers. In its current form, engine performance is monitored through recorded physical metrics, such as gas temperature, pressure, and altitude, taken as …

    mit Repository record for Airline operating cost reduction through enhanced engine health analytics (opens in a new tab)

  3. A big data and online health analytics framework extended to integrate clinical and countermeasure decision support

    Computing frameworks that utilize big data analytics to support Clinical Decision Support Systems (CDSS) have proven to impact human lives in applications on Earth and in space. In the application of Space Medicine Decision Support Systems (SMDSS) on ISS missions and future space missions to the …

    uoit Repository record for A big data and online health analytics framework extended to integrate clinical and countermeasure decision support (opens in a new tab)

  4. An investigation into the effects of winning the Malcolm Baldrige National Quality Award on the performance of hospitals/healthcare systems

    The efficiency and efficacy of the U.S. healthcare system has been in question for decades. We spend more per capita than any other industrialized nation while consistently realizing inferior health outcomes for our population as a whole when compared with many industrialized nations. In 1965, the …

    colostate Repository record for An investigation into the effects of winning the Malcolm Baldrige National Quality Award on the performance of hospitals/healthcare systems (opens in a new tab)

  5. Social analytics for health integration, intelligence, and monitoring

    Nowadays, patient-generated social health data are abundant and Healthcare is changing from the authoritative provider-centric model to collaborative and patient-oriented care. The aim of this dissertation is to provide a Social Health Analytics framework to utilize social data to solve the …

    njit Repository record for Social analytics for health integration, intelligence, and monitoring (opens in a new tab)

  6. Certifying America's Best Hospitals: A Comparison of Consumer Oriented Hospital Ranking Systems

    … started requiring hospitals to report certain healthcare quality metrics. Since then many organizations have used this and other data to generate hospital ranking lists. Each organization is at least partially aimed at consumers and claims that their rankings will help them to find the "best …

    utswmed Repository record for Certifying America's Best Hospitals: A Comparison of Consumer Oriented Hospital Ranking Systems (opens in a new tab)

  7. An evaluation method for the evaluation of big data based streaming analytic clinical decision support systems

    … that includes the presence of population health indicators. The plan applies concepts and uses indicators suggested in the HOT-Fit framework, while applying the evaluation template developed by Public Health Ontario and uses an indicator structure described in York Region Public Health’s …

    uoit Repository record for An evaluation method for the evaluation of big data based streaming analytic clinical decision support systems (opens in a new tab)

  8. Machine learning for digital health: Transforming clinical data into knowledge

    Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2023-04-12 without embargo terms

    uiuc Repository record for Machine learning for digital health: Transforming clinical data into knowledge (opens in a new tab)

  9. Predicting the Effects of Sedative Infusion on Acute Traumatic Brain Injury Patients

    Healthcare analytics has traditionally relied upon linear and logistic regression models to address clinical research questions mostly because they produce highly interpretable results [1, 2]. These results contain valuable statistics such as p-values, coefficients, and odds ratios that provide …

    vt Repository record for Predicting the Effects of Sedative Infusion on Acute Traumatic Brain Injury Patients (opens in a new tab)

  10. Machine Learning Methods for Decision Making Inference in Healthcare

    … has potential widespread societal impacts is the healthcare delivery and policy making. Statistical and machine learning techniques, combined with big data generated from healthcare organizations, have the potential to bring changes to healthcare delivery. Despite major advances in the development …

    gatech Repository record for Machine Learning Methods for Decision Making Inference in Healthcare (opens in a new tab)