Anushi Shah

Artificial Intelligence · 2011–2013

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 19 citations into it
• Evaluation & Benchmarks — 6 citations into it

Whom Anushi Shah trusts overall

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

1. Chih-Jen Lin

Papers from Anushi Shah's perspective

Ordered by how strongly the researchers Anushi Shah 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. LIBSVM: A library for support vector machines
3. Random Forests
4. BMC Medical Informatics and Decision Making
5. An overview of MetaMap: historical perspective and recent advances (J. Am. Medical Informatics Assoc.)
6. Naïve Electronic Health Record phenotype identification for Rheumatoid arthritis.
7. ConText: An algorithm for determining negation, experiencer, and temporal status from clinical reports (Journal of Biomedical Informatics)
8. Accuracy of ICD-9-CM Codes for Identifying Cardiovascular and Stroke Risk Factors
9. Support-Vector Networks
10. Effective mapping of biomedical text to the UMLS Metathesaurus: the MetaMap program

Their papers

• Applying active learning to high-throughput phenotyping algorithms for electronic health records data. (2013) — 115 citations
• Extracting and integrating data from entire electronic health records for detecting colorectal cancer cases. (2011) — 99 citations