in nursing diagnostic, why is it important clustering similar data together?
Answer: In nursing diagnostics it is important clustering similar data together because it's enables to avail information of particular group of patients who have related information. This also provides platform to evaluate the laboratory results as well as making diagnosis. The clustering similar data together also make easy to do the algorithm.
in nursing diagnostic, why is it important clustering similar data together?
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What groups similar attributes together to discover segments or clusters, and then examine the attributes and values that define those segments? Affinity grouping Clustering Estimation Classification
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a) Why is implementing a K-means clustering algorithm multiple times with a fixed K important to do? 119 b) Why is cross-validation preferred over resubstituting as a method to measure classification accuracy? Explain c) Give two situations when nearest neighbor classification may be preferred over linear and quadratic discriminant analysis methods in general. Explain your answer. a) Why is implementing a K-means clustering algorithm multiple times with a fixed K important to do? 119 b) Why is cross-validation preferred over...
why is it important to understand the different diagnostic code within medical records? provide example
Why is it important to understand the diffeeent diagnostic codes within mesical records? provide details and examples
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