Santiago Vilar
2008–2018
A researcher in the Science corpus: 4 papers; trusts 0 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Santiago Vilar trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Santiago Vilar overall
- Ping Zhang
- Eduardo Habib Bechelane Maia
- Marinka Zitnik
- Mengying Sun
- Fei Wang
- Yuan Luo
- Letícia C. Assis
Papers from Santiago Vilar's perspective
Ordered by how strongly the researchers Santiago Vilar trusts endorse each paper. Same corpus, a different order for every researcher.
- Cerivastatin and reports of fatal rhabdomyolysis. (New England Journal of Medicine)
- Advancing the Science for Active Surveillance: Rationale and Design for the Observational Medical Outcomes Partnership
- Effective mapping of biomedical text to the UMLS Metathesaurus: the MetaMap program
- High-dimensional propensity score adjustment in studies of treatment effects using health care claims data
- A Simple Algorithm for Identifying Negated Findings and Diseases in Discharge Summaries (Journal of Biomedical Informatics)
- Gene Ontology: tool for the unification of biology
- Automated encoding of clinical documents based on natural language processing. (JAMIA Journal of the American Medical Informatics Association)
- A review of uses of health care utilization databases for epidemiologic research on therapeutics. (Journal of Clinical Epidemiology)
- DrugBank: a knowledgebase for drugs, drug actions and drug targets
- GENIA corpus - a semantically annotated corpus for bio-textmining
Their papers
- 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
- Combing signals from spontaneous reports and electronic health records for detection of adverse drug reactions (2013) — 171 citations
- Medicinal chemistry and the molecular operating environment (MOE): application of QSAR and molecular docking to drug discovery. (2008) — 1,066 citations