K. Kipper-Schuler

Artificial Intelligence · 2008

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom K. Kipper-Schuler trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Alan R. Aronson
  2. Dekang Lin
  3. Aaron M. Cohen
  4. Genevieve B. Melton
  5. Stéphane M. Meystre
  6. Wendy W. Chapman

Who trusts K. Kipper-Schuler overall

  1. R. Evans

Papers from K. Kipper-Schuler's perspective

Ordered by how strongly the researchers K. Kipper-Schuler trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Identification of suspected tuberculosis patients based on natural language processing of chest radiograph reports.
  2. A Simple Algorithm for Identifying Negated Findings and Diseases in Discharge Summaries (Journal of Biomedical Informatics)
  3. Research Paper: Automatic Detection of Acute Bacterial Pneumonia from Chest X-ray Reports
  4. Effective mapping of biomedical text to the UMLS Metathesaurus: the MetaMap program
  5. Ad hoc classification of radiology reports.
  6. Identification of findings suspicious for breast cancer based on natural language processing of mammogram reports
  7. Automated encoding of clinical documents based on natural language processing. (JAMIA Journal of the American Medical Informatics Association)
  8. Book Reviews: WordNet: An Electronic Lexical Database
  9. BMC Medical Informatics and Decision Making
  10. Frontiers of biomedical text mining: current progress (Briefings Bioinform.)

Their papers