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Cluster analysis groups similar data points into clusters based on shared attributes. In healthcare, it can be used to group patients with similar demographic and health conditions, enabling personalized treatment strategies. By identifying clusters, hospitals can predict the effectiveness of treatments for each group, ensuring targeted care. Option A : A/B testing compares two treatments but doesn’t create clusters for personalized care. Option B : Customer segmentation applies to marketing but doesn’t directly address patient care. Option C : Predictive modeling forecasts outcomes but doesn’t group similar patients. Option E : Risk scoring assesses health risks but doesn’t enable personalized care.
Select the option that represents the letters that, when placed from left to right in the following blanks, will complete the letter-series.
S ...
23 is related to 253 following a certain logic. Following the same logic, 17 is related to 187. To which of the following is 81 related, following the s...
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Select the option in which the numbers are related in the same way as the numbers in the following set:
(13, 20, 14)
Three of the following words are alike in some manner and hence form a group. Which word does NOT belong to that group? ( The words must be considered...
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