Wendy W. Chapman

Artificial Intelligence · 2000–2018

A researcher in the Science corpus: 12 papers; trusts 7 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 41 citations into it; #11,818 of 35,345 by trust here, #4,420 by citations
• Molecular Biology — 27 citations into it; #5,552 of 17,773 by trust here, #3,351 by citations
• Health Information Management — 13 citations into it; #169 of 344 by trust here, #94 by citations

Whom Wendy W. Chapman trusts overall

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

1. Aiko M. Hormann
2. Alan R. Aronson
3. Marcelo Fiszman
4. George Hripcsak
5. Kimberly A. Neuendorf
6. Carol Friedman
7. Dominik Aronsky

Who trusts Wendy W. Chapman overall

1. Yuan Luo
2. Zexian Zeng
3. Dina Demner-Fushman
4. Stéphane M. Meystre
5. Cosmin Adrian Bejan
6. Christopher Kotfila
7. Travis R. Goodwin
8. Alan R. Aronson
9. Ioannis Tsamardinos
10. Guergana K. Savova

Papers from Wendy W. Chapman's perspective

Ordered by how strongly the researchers Wendy W. Chapman trusts endorse each paper. Same corpus, a different order for every researcher.

1. A Simple Algorithm for Identifying Negated Findings and Diseases in Discharge Summaries (Journal of Biomedical Informatics)
2. Latent Dirichlet Allocation
3. The meaning and use of the area under a receiver operating characteristic (ROC) curve.
4. Foundations of Statistical Natural Language Processing
5. Automated encoding of clinical documents based on natural language processing. (JAMIA Journal of the American Medical Informatics Association)
6. Identification of suspected tuberculosis patients based on natural language processing of chest radiograph reports.
7. Research Paper: Automatic Detection of Acute Bacterial Pneumonia from Chest X-ray Reports
8. Programs for Machine Learning. Part I
9. A natural history of negation
10. Message Understanding Conference- 6: A Brief History

Their papers

• A Simple Algorithm for Identifying Negated Findings and Diseases in Discharge Summaries (2001) — 1,213 citations
• What can Natural Language Processing do for Clinical Decision Support? (2009) — 680 citations
• ConText: An algorithm for determining negation, experiencer, and temporal status from clinical reports (2009) — 407 citations
• Overview of the ShARe/CLEF eHealth Evaluation Lab 2014 (2014) — 319 citations
• A Comparison of Classification Algorithms to Automatically Identify Chest X-Ray Reports That Support Pneumonia (2001) — 116 citations
• A system for coreference resolution for the clinical narrative (2012) — 41 citations
• Overcoming barriers to NLP for clinical text: the role of shared tasks and the need for additional creative solutions (2011) — 305 citations
• Natural language processing: an introduction (2011) — 1,183 citations
• Using clinical Natural Language Processing for health outcomes research: Overview and actionable suggestions for future advances (2018) — 214 citations
• Using Twitter to Examine Smoking Behavior and Perceptions of Emerging Tobacco Products (2013) — 334 citations
• Analysis of False Positive Errors of an Acute Respiratory Infection Text Classifier due to Contextual Features (2010) — 3 citations
• Research Paper: Automatic Detection of Acute Bacterial Pneumonia from Chest X-ray Reports (2000) — 255 citations