Use of an Electronic Medical Record for the Identification of Research Subjects with Diabetes Mellitus

By R. Wilke, R. Berg, P. Peissig, Terrie E. Kitchner, Bozana Sijercic, C. McCarty, D. Mccarty. 2007

76 citations recorded by the source corpus.

Subfields: Ecology

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Zexian Zeng
2. Yu Deng
3. Xiaoyu Li
4. Tristan Naumann
5. Yuan Luo
6. E. Ford
7. J. Carroll
8. D. Scott

Citations in the corpus

• Natural Language Processing for EHR-Based Computational Phenotyping (2018, background): “[36] NA FreePharma Narrative, ICD-9, laboratory data NA”
• Extracting information from the text of electronic medical records to improve case detection: a systematic review (2016, methodology): “Medication information was extracted using MedEx (2 studies),(48) which produced RxNorm encoded medications, and FreePharma NLP (1 study).(49)”