AUTOMATED CLASSIFICATION OF CLINICAL TRIAL ELIGIBILITY CRITERIA TEXT BASED ON ENSEMBLE LEARNING AND METRIC LEARNING

Automated classification of clinical trial eligibility criteria text based on ensemble learning and metric learning

Abstract Background Eligibility criteria good news candy are the primary strategy for screening the target participants of a clinical trial.Automated classification of clinical trial eligibility criteria text by using machine learning methods improves recruitment efficiency to reduce the cost of clinical research.However, existing methods suffer fr

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Aging Markers in Equine Red Blood Cells

Detection of hematopoietic activity in horses is a challenge due to the lack of cells carrying reticulocyte markers such as RNA remnants or CD71 in the circulation.In this study, we fractionated equine ecoalf baku red cells according to their density and analyzed the cells forming low (L), medium (M), and high (H) density fractions for markers of a

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