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Prediction Intervals01:03

Prediction Intervals

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The interval estimate of any variable is known as the prediction interval. It helps decide if a point estimate is dependable.
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y. 
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In healthcare diagnostics, laboratory tests play a crucial role in identifying and diagnosing a wide range of medical conditions. However, interpreting test results is not always straightforward. An abnormal test result does not always confirm the presence of a disease, just as a normal result does not guarantee its absence. To assess the reliability of these diagnostic tools, healthcare practitioners rely on two key statistical indicators: sensitivity and specificity.
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The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
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Nursing Clinical Information System (NCIS)
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A Robust Decision Support System for Wireless Healthcare Based on Hybrid Prediction Algorithm.

Journal of medical systemsยท2019
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Hydra, a Computer-Based Platform for Aiding Clinicians in Cardiovascular Analysis and Diagnosis
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Retraction Note: A Robust Decision Support System for Wireless Healthcare Based on Hybrid Prediction Algorithm

Neelam Sanjeev Kumar1, P Nirmalkumar2

  • 1Electronics and Communication Engineering, Anna University, Guindy, Chennai, India. neelamsanjeev1034@gmail.com.

Journal of Medical Systems
|May 11, 2022
PubMed
Summary

No abstract available in PubMed .

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