Brett R. South
Artificial Intelligence · 2010–2015
A researcher in the Science corpus: 5 papers; trusts 2 researchers and is trusted by 11 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 18 citations into it; #14,496 of 35,345 by trust here, #9,968 by citations
- Molecular Biology — 18 citations into it; #4,978 of 17,773 by trust here, #7,041 by citations
Whom Brett R. South trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Burr Settles
- Alan R. Aronson
- Wendy W. Chapman
- Guergana K. Savova
- Genevieve B. Melton
- James A. Hanley
- George Hripcsak
- Daniel Hanisch
Who trusts Brett R. South overall
- Yuan Luo
- Dianbo Liu
- Travis R. Goodwin
- Shaodian Zhang
- Xiang Dai
- Sanda M. Harabagiu
- Zexian Zeng
- Sumithra Velupillai
- Bryan Rink
- Cosmin Adrian Bejan
Papers from Brett R. South's perspective
Ordered by how strongly the researchers Brett R. South trusts endorse each paper. Same corpus, a different order for every researcher.
- Automated encoding of clinical documents based on natural language processing. (JAMIA Journal of the American Medical Informatics Association)
- GATE: an Architecture for Development of Robust HLT applications
- Extracting Information from Textual Documents in the Electronic Health Record: A Review of Recent Research (Yearbook of Medical Informatics)
- Mayo clinical Text Analysis and Knowledge Extraction System (cTAKES): architecture, component evaluation and applications
- Automated detection of adverse events using natural language processing of discharge summaries. (JAMIA Journal of the American Medical Informatics Association)
- A review of approaches to identifying patient phenotype cohorts using electronic health records
- 2010 i2b2/VA challenge on concepts, assertions, and relations in clinical text
- ProMiner: rule-based protein and gene entity recognition (BMC Bioinformatics)
- The meaning and use of the area under a receiver operating characteristic (ROC) curve.
- CARAMBA: Concept, Assertion, and Relation Annotation using Machine-learning Based Approaches
Their papers
- 2010 i2b2/VA challenge on concepts, assertions, and relations in clinical text (2011) — 1,316 citations
- Automatic de-identification of textual documents in the electronic health record: a review of recent research (2010) — 370 citations
- Recent Advances in Clinical Natural Language Processing in Support of Semantic Analysis (2015) — 79 citations
- Combining Free Text and Structured Electronic Medical Record Entries to Detect Acute Respiratory Infections (2010) — 48 citations
- Analysis of False Positive Errors of an Acute Respiratory Infection Text Classifier due to Contextual Features (2010) — 3 citations