Carol Friedman

Statistics and Probability · 1996–2018

A researcher in the Science corpus: 11 papers; trusts 1 researcher and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 13 citations into it

Whom Carol Friedman trusts overall

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

1. Amos Bairoch
2. Rolf Apweiler
3. Alan R. Aronson

Who trusts Carol Friedman overall

1. Peter Bjødstrup Jensen
2. Dina Demner-Fushman
3. Zexian Zeng
4. Yael Garten
5. Yuan Luo
6. Stéphane M. Meystre
7. Daniel A. Hashimoto
8. Jin-Dong Kim
9. A. Levy
10. Lars Juhl Jensen

Papers from Carol Friedman's perspective

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

1. The SWISS-PROT protein sequence data bank and its supplement TrEMBL
2. A Simple Algorithm for Identifying Negated Findings and Diseases in Discharge Summaries (Journal of Biomedical Informatics)
3. Effective mapping of biomedical text to the UMLS Metathesaurus: the MetaMap program
4. DrugBank: a knowledgebase for drugs, drug actions and drug targets
5. Automated encoding of clinical documents based on natural language processing. (JAMIA Journal of the American Medical Informatics Association)
6. Gene Ontology: tool for the unification of biology
7. Use of proportional reporting ratios (PRRs) for signal generation from spontaneous adverse drug reaction reports (Pharmacoepidemiology and Drug Safety)
8. High-dimensional propensity score adjustment in studies of treatment effects using health care claims data
9. The SWISS-PROT protein sequence database and its supplement TrEMBL in 2000
10. A review of uses of health care utilization databases for epidemiologic research on therapeutics. (Journal of Clinical Epidemiology)

Their papers

• GENIES: a natural-language processing system for the extraction of molecular pathways from journal articles (2001) — 581 citations
• Detection of drug‐drug interactions through data mining studies using clinical sources, scientific literature and social media (2018) — 131 citations
• Drug-drug interaction through molecular structure similarity analysis (2012) — 260 citations
• Automated encoding of clinical documents based on natural language processing. (2004) — 553 citations
• Active computerized pharmacovigilance using natural language processing, statistics, and electronic health records: a feasibility study. (2009) — 299 citations
• Combing signals from spontaneous reports and electronic health records for detection of adverse drug reactions (2013) — 171 citations
• Novel Data Mining Methodologies for Adverse Drug Event Discovery and Analysis (2012) — 395 citations
• Detection of Pharmacovigilance-Related adverse Events Using Electronic Health Records and automated Methods (2012) — 127 citations
• Methods for Identifying Suicide or Suicidal Ideation in EHRs (2012) — 80 citations
• Identification of findings suspicious for breast cancer based on natural language processing of mammogram reports (1997)
• A WEB-Based Version of MedLEE: A Medical Language Extraction and Encoding System (1996)