Seasonally adjusted laboratory reference intervals to improve the performance of machine learning models for classification of cardiovascular diseases
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Background: Variation in laboratory healthcare data due to seasonal changes is a widely accepted phenomenon. Seasonal variation is generally not systematically accounted for in healthcare settings. This study applies a newly deve... ...
