Bruce G. Buchanan

Journal of Biomedical Informatics · 1969–2005

A researcher in the Science corpus: 9 papers; trusts 4 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Whom Bruce G. Buchanan trusts overall

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

1. William R. Swartout
2. Marvin Minsky
3. Arthur L. Samuel
4. Claude E. Shannon
5. Charles M. Bishop

Who trusts Bruce G. Buchanan overall

1. Nava Tintarev
2. David E. Heckerman
3. Gleb Beliakov
4. Judith Masthoff
5. Ursula Schmidt-Erfurth
6. Tim Miller
7. Chris Russell
8. Ana Pradera
9. Lisa Anne Hendricks
10. Cássio Lopes Pennachin

Papers from Bruce G. Buchanan's perspective

Ordered by how strongly the researchers Bruce G. Buchanan trusts endorse each paper. Same corpus, a different order for every researcher.

1. Rule-based expert systems: The mycin experiments of the stanford heuristic programming project
2. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
3. The EM algorithm and extensions
4. A controlled trial of a critical pathway for treatment of community-acquired pneumonia. CAPITAL Study Investigators. Community-Acquired Pneumonia Intervention Trial Assessing Levofloxacin. (Journal of the American Medical Association (JAMA))
5. Learning from hints in neural networks
6. Wrappers for Feature Subset Selection
7. Negation and polarity : syntactic and semantic perspectives
8. A natural history of negation
9. Symbolic-Neural Systems and the Use of Hints for Developing Complex Systems
10. Computer-based medical consultations: mycin (elsevier north holland

Their papers

• A Simple Algorithm for Identifying Negated Findings and Diseases in Discharge Summaries (2001) — 1,213 citations
• A (Very) Brief History of Artificial Intelligence (2005) — 374 citations
• Predicting dire outcomes of patients with community acquired pneumonia (2005) — 63 citations
• White Paper: Designing Medical Informatics Research and Library-Resource Projects to Increase What Is Learned (1994)
• A model of inexact reasoning in medicine (1990)
• The MYCIN Experiments of the Stanford Heuristic Programming Project (1985)
• Applications of Artificial Intelligence for Organic Chemistry: The DENDRAL Project (1980)
• Computer-based consultations in clinical therapeutics: explanation and rule acquisition capabilities of the MYCIN system. (1975)
• Applications of artificial intelligence for chemical inference. I. Number of possible organic compounds. Acyclic structures containing carbon, hydrogen, oxygen, and nitrogen (1969)