Haijun Zhai

Automated clinical trial eligibility prescreening: increasing the efficiency of patient identification for clinical trials in the emergency department

Yizhao Ni, Stephanie Kennebeck, Judith W. Dexheimer et al. · Journal of the American Medical Informatics Association · 2014 · 112 citations · Full text

Evaluating the impact of pre-annotation on annotation speed and potential bias: natural language processing gold standard development for clinical named entity recognition in clinical trial announcements

Todd Lingren, Louise Deléger, Katalin Molnár et al. · Journal of the American Medical Informatics Association · 2013 · 86 citations · Full text

Developing and evaluating a machine learning based algorithm to predict the need of pediatric intensive care unit transfer for newly hospitalized children

Haijun Zhai, Patrick W. Brady, Qi Li et al. · Resuscitation · 2014 · 82 citations · Full text

Machine Learning, Pediatric Intensive Care, Predictive Analytics +4

Web 2.0-Based Crowdsourcing for High-Quality Gold Standard Development in Clinical Natural Language Processing

Haijun Zhai, Todd Lingren, Louise Deléger et al. · Journal of Medical Internet Research · 2013 · 74 citations · Full text

Phenotyping for patient safety: algorithm development for electronic health record based automated adverse event and medical error detection in neonatal intensive care

Qian Li, Kristin Melton, Todd Lingren et al. · Journal of the American Medical Informatics Association · 2014 · 55 citations · Full text