Detection of allergic transfusion‐related adverse events from electronic medical records

Transfusion‐related adverse reactions: Data from the National Healthcare Safety Network Hemovigilance Module — United States , 2013–2018

(2021) Ian Kracalik et al.   TRANSFUSION

The use of natural language processing to identify Tdap-related local reactions at five health care systems in the Vaccine Safety Datalink

(2019) Chengyi Zheng et al.   INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS

Extracting information from the text of electronic medical records to improve case detection: a systematic review

(2016) Elizabeth Ford et al.   JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION

Incidence of transfusion reactions: a multicenter study utilizing systematic active surveillance and expert adjudication

(2016) Jeanne E. Hendrickson et al.   TRANSFUSION

Realizing the full potential of electronic health records: the role of natural language processing

(2011) Lucila Ohno-Machado   JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION

What can natural language processing do for clinical decision support?

(2009) Dina Demner-Fushman et al.   JOURNAL OF BIOMEDICAL INFORMATICS

Active Computerized Pharmacovigilance Using Natural Language Processing, Statistics, and Electronic Health Records: A Feasibility Study

(2009) X. Wang et al.   JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION