Stéphane M. Meystre
Artificial Intelligence · 2005–2010
A researcher in the Science corpus: 3 papers; trusts 6 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 10 citations into it; #31,097 of 35,345 by trust here, #16,471 by citations
- Molecular Biology — 7 citations into it; #14,208 of 17,773 by trust here, #10,193 by citations
Whom Stéphane M. Meystre trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alan R. Aronson
- Dekang Lin
- Wendy W. Chapman
- Aaron M. Cohen
- Genevieve B. Melton
- Carol Friedman
- David Aronow
- Pierre Zweigenbaum
- Marcelo Fiszman
- Hamish Cunningham
Who trusts Stéphane M. Meystre overall
- Shaodian Zhang
- Guergana K. Savova
- R. Evans
- Sumithra Velupillai
- Benjamin Shickel
- Noémie Elhadad
- Franck Dernoncourt
- Hua Xu
- Peter Bjødstrup Jensen
- MS R. Scott Evans
Papers from Stéphane M. Meystre's perspective
Ordered by how strongly the researchers Stéphane M. Meystre trusts endorse each paper. Same corpus, a different order for every researcher.
- Identification of suspected tuberculosis patients based on natural language processing of chest radiograph reports.
- A Simple Algorithm for Identifying Negated Findings and Diseases in Discharge Summaries (Journal of Biomedical Informatics)
- Effective mapping of biomedical text to the UMLS Metathesaurus: the MetaMap program
- Research Paper: Automatic Detection of Acute Bacterial Pneumonia from Chest X-ray Reports
- Ad hoc classification of radiology reports.
- Identification of findings suspicious for breast cancer based on natural language processing of mammogram reports
- GATE: an Architecture for Development of Robust HLT applications
- Book Reviews: WordNet: An Electronic Lexical Database
- BMC Medical Informatics and Decision Making
- Extracting Information from Textual Documents in the Electronic Health Record: A Review of Recent Research (Yearbook of Medical Informatics)
Their papers
- Extracting Information from Textual Documents in the Electronic Health Record: A Review of Recent Research (2008) — 957 citations
- Automatic de-identification of textual documents in the electronic health record: a review of recent research (2010) — 370 citations
- Comparing Natural Language Processing Tools to Extract Medical Problems from Narrative Text (2005) — 60 citations