Comparing Natural Language Processing Tools to Extract Medical Problems from Narrative Text

By Stéphane M. Meystre, P. Haug. 2005

60 citations recorded by the source corpus.

How researchers see this paper

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

1. Shaodian Zhang
2. Guergana K. Savova
3. Noémie Elhadad
4. K. Kipper-Schuler
5. John F. Hurdle
6. Stéphane M. Meystre
7. Sumithra Velupillai
8. R. Evans

Citations in the corpus

• Unsupervised biomedical named entity recognition: Experiments with clinical and biological texts (2013, methodology): “Meystre and Haug evaluate MMTx with a automatically retrieved clinical problem list [51].”
• Extracting Information from Textual Documents in the Electronic Health Record: A Review of Recent Research (2008, methodology): “Representative of that work are examples such as: Meystre and Haug using MMTx, combined with Chapman's NegEx algorithm, to enrich the problem list [67,128,129].”