Machine learning-assisted screening increases efficiency of systematic review
PICO Portal (PP) prioritizes articles for review using natural language processing and active learning to monitor user decisions on eligibility during title/abstract screening. To predict eligibility, PP uses several algorithms including both decision tree (e.g., SVM, Random Forest Naïve Bayes) and deep learning (e.g., Bidirectional Encoder Representations (BERT)) models. We…