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 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 from poor classifi

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Separation and Recycling of Concentrated Heavy Metal Wastewater by Tube Membrane Distillation Integrated with Crystallization

Cosmetic Bag Tube membrane distillation (MD) integrated with a crystallization method is used in this study for the concurrent productions of pure water and salt crystals from concentrated single and mixed system solutions.The effects of concentrated Zn2+ and Ni2+ on performance in terms of membrane flux, permeate conductivity, crystal recovery rat

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College affirmative action bans and smoking and alcohol use among underrepresented minority adolescents in the United States: A difference-in-differences study.

BackgroundCollege affirmative action programs seek to expand socioeconomic opportunities for underrepresented minorities.Between 1996 and 2013, 9 US states-including Cold Food Pans, Crocks California, Texas, and Michigan-banned race-based affirmative action in college admissions.Because economic opportunity is known to motivate health behavior, ban

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