3 research outputs found
Multidrug-resistant Pseudomonas aeruginosa infection in neutropenic patients successfully treated with a combination of polymyxin B and rifampin
- Author
- Publication venue
- 'Elsevier BV'
- Publication date
- Field of study
Humanism and solidarity in brazilian foreign policy under Lula (2003-2010): theory and practice
- Author
- AGUILAR Sérgio
- ALEXANDRE Cristina Vieira Machado
- ALMEIDA Helga do Nascimento de
- ALMEIDA Paulo Roberto de
- ALMEIDA Paulo Roberto de
- AMORIM Celso
- ANDERSON Perry
- AYLLÓN Bruno
- AZEVEDO Sérgio de
- BURGES Sean W.
- BURGES Sean W.
- Carlos Aurélio Pimenta de Faria
- CASON Jeffrey W.
- CHEIBUB Zairo B.
- Clarisse Goulart Paradis
- DANESE Sérgio França
- DAUVERGNE Peter
- DINIZ Simone
- FARANI Marco
- FARANI Marco
- FARIA Carlos Aurélio Pimenta de
- FARIA Carlos Aurélio Pimenta de
- HUDSON Valerie M.
- HURRELL Andrew
- LIMA Maria Regina Soares
- LIMA Maria Regina Soares
- LIMA Maria Regina Soares
- LIMA Maria Regina Soares de
- LIMA Maria Regina Soares de
- PANIZZA Francisco
- PINHEIRO LetÃcia
- PINHEIRO LetÃcia
- PUENTE Carlos Alfonso Iglesias
- RIBAS LetÃcia Diniz
- RICUPERO Rubens
- RIPLEY Brian
- ROUQUIÉ Alain
- SILVA Elaini Cristina Gonzaga da
- SILVA Michelle Morais de Sá
- SOUTO MAIOR Luiz A.P.
- SOUZA André de Mello e
- SPEKTOR Matias
- VIGEVANI Tullo
- VILAS Carlos M.
- Publication venue
- 'FapUNIFESP (SciELO)'
- Publication date
- 01/01/2013
- Field of study
Large expert-curated database for benchmarking document similarity detection in biomedical literature search
- Publication venue
- 'Oxford University Press (OUP)'
- Publication date
- 01/01/2019
- Field of study
Document recommendation systems for locating relevant literature have mostly relied on methods developed a decade ago. This is largely due to the lack of a large offline gold-standard benchmark of relevant documents that cover a variety of research fields such that newly developed literature search techniques can be compared, improved and translated into practice. To overcome this bottleneck, we have established the RElevant LIterature SearcH consortium consisting of more than 1500 scientists from 84 countries, who have collectively annotated the relevance of over 180 000 PubMed-listed articles with regard to their respective seed (input) article/s. The majority of annotations were contributed by highly experienced, original authors of the seed articles. The collected data cover 76% of all unique PubMed Medical Subject Headings descriptors. No systematic biases were observed across different experience levels, research fields or time spent on annotations. More importantly, annotations of the same document pairs contributed by different scientists were highly concordant. We further show that the three representative baseline methods used to generate recommended articles for evaluation (Okapi Best Matching 25, Term Frequency-Inverse Document Frequency and PubMed Related Articles) had similar overall performances. Additionally, we found that these methods each tend to produce distinct collections of recommended articles, suggesting that a hybrid method may be required to completely capture all relevant articles. The established database server located at https://relishdb.ict.griffith.edu.au is freely available for the downloading of annotation data and the blind testing of new methods. We expect that this benchmark will be useful for stimulating the development of new powerful techniques for title and title/abstract-based search engines for relevant articles in biomedical science. © The Author(s) 2019. Published by Oxford University Press