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

Por Zhai, Haijun, Lingren, Todd, Deleger, Louise, Li, Qi, Kaiser, Megan, Stoutenborough, Laura, Solti, Imre
Publicado em 2013

A sequence labeling approach to link medications and their attributes in clinical notes and clinical trial announcements for information extraction

Por Li, Qi, Zhai, Haijun, Deleger, Louise, Lingren, Todd, Kaiser, Megan, Stoutenborough, Laura, Solti, Imre
Publicado em 2013

Developing and Evaluating a Machine Learning Based Algorithm to Predict the Need of Pediatric Intensive Care Unit Transfer for Newly Hospitalized Children

Por Zhai, Haijun, Brady, Patrick, Li, Qi, Lingren, Todd, Ni, Yizhao, Wheeler, Derek S., Solti, Imre
Publicado em 2014

Leveraging Food and Drug Administration Adverse Event Reports for the Automated Monitoring of Electronic Health Records in a Pediatric Hospital

Por Tang, Huaxiu, Solti, Imre, Kirkendall, Eric, Zhai, Haijun, Lingren, Todd, Meller, Jaroslaw, Ni, Yizhao
Publicado no Biomed Inform Insights (2017)

Developing and evaluating an automated appendicitis risk stratification algorithm for pediatric patients in the emergency department

Por Deleger, Louise, Brodzinski, Holly, Zhai, Haijun, Li, Qi, Lingren, Todd, Kirkendall, Eric S, Alessandrini, Evaline, Solti, Imre
Publicado em 2013

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

Por Lingren, Todd, Deleger, Louise, Molnar, Katalin, Zhai, Haijun, Meinzen-Derr, Jareen, Kaiser, Megan, Stoutenborough, Laura, Li, Qi, Solti, Imre
Publicado em 2014

Mining FDA drug labels for medical conditions

Por Li, Qi, Deleger, Louise, Lingren, Todd, Zhai, Haijun, Kaiser, Megan, Stoutenborough, Laura, Jegga, Anil G, Cohen, Kevin Bretonnel, Solti, Imre
Publicado em 2013

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

Por Li, Qi, Melton, Kristin, Lingren, Todd, Kirkendall, Eric S, Hall, Eric, Zhai, Haijun, Ni, Yizhao, Kaiser, Megan, Stoutenborough, Laura, Solti, Imre
Publicado em 2014

Automated Detection of Medication Administration Errors in Neonatal Intensive Care

Por Li, Qi, Kirkendall, Eric S., Hall, Eric S., Ni, Yizhao, Lingren, Todd, Kaiser, Megan, Lingren, Nataline, Zhai, Haijun, Solti, Imre, Melton, Kristin
Publicado no J Biomed Inform (2015)

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

Por Ni, Yizhao, Kennebeck, Stephanie, Dexheimer, Judith W, McAneney, Constance M, Tang, Huaxiu, Lingren, Todd, Li, Qi, Zhai, Haijun, Solti, Imre
Publicado no J Am Med Inform Assoc (2015)