Nirupama Benis
Overview
Explore the profile of Nirupama Benis including associated specialties, affiliations and a list of published articles.
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15
Citations
65
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Recent Articles
1.
Zhang S, Cornet R, Benis N
Sci Data
. 2024 Dec;
11(1):1407.
PMID: 39702578
Faced with heterogeneity of healthcare data, we propose a novel approach for harmonizing data elements (i.e., attributes) across health data standards. This approach focuses on the implicit concept that is...
2.
Van Damme P, Lobe M, Benis N, de Keizer N, Cornet R
JAMIA Open
. 2024 Jan;
7(1):ooae002.
PMID: 38283884
Objectives: To provide a real-world example on how and to what extent Health Level Seven Fast Healthcare Interoperability Resources (FHIR) implements the Findable, Accessible, Interoperable, and Reusable (FAIR) guiding principles...
3.
Zhang S, Benis N, Cornet R
J Biomed Semantics
. 2023 Dec;
14(1):19.
PMID: 38053130
Introduction: Healthcare data and the knowledge gleaned from it play a key role in improving the health of current and future patients. These knowledge sources are regularly represented as 'linked'...
4.
Zhang S, Benis N, Cornet R
BMC Med Inform Decis Mak
. 2023 May;
23(Suppl 1):90.
PMID: 37165363
Introduction: The Semantic Web community provides a common Resource Description Framework (RDF) that allows representation of resources such that they can be linked. To maximize the potential of linked data...
5.
Dos Santos Vieira B, Bernabe C, Zhang S, Abaza H, Benis N, Camara A, et al.
Orphanet J Rare Dis
. 2022 Dec;
17(1):436.
PMID: 36517834
Introduction: Rare disease patient data are typically sensitive, present in multiple registries controlled by different custodians, and non-interoperable. Making these data Findable, Accessible, Interoperable, and Reusable (FAIR) for humans and...
6.
Van Damme P, Fernandez-Breis J, Benis N, Minarro-Gimenez J, de Keizer N, Cornet R
J Biomed Semantics
. 2022 Jul;
13(1):19.
PMID: 35841031
Background: Ontology matching should contribute to the interoperability aspect of FAIR data (Findable, Accessible, Interoperable, and Reusable). Multiple data sources can use different ontologies for annotating their data and, thus,...
7.
Jahagirdar S, Morris L, Benis N, Oppegaard O, Svenson M, Hyldegaard O, et al.
BMC Med
. 2022 May;
20(1):173.
PMID: 35505341
Background: Necrotising soft tissue infections (NSTIs) are rapidly progressing bacterial infections usually caused by either several pathogens in unison (polymicrobial infections) or Streptococcus pyogenes (mono-microbial infection). These infections are rare...
8.
Kaliyaperumal R, Wilkinson M, Moreno P, Benis N, Cornet R, Dos Santos Vieira B, et al.
J Biomed Semantics
. 2022 Mar;
13(1):9.
PMID: 35292119
Background: The European Platform on Rare Disease Registration (EU RD Platform) aims to address the fragmentation of European rare disease (RD) patient data, scattered among hundreds of independent and non-coordinating...
9.
Zhang S, Benis N, Cornet R
Stud Health Technol Inform
. 2021 Nov;
287:104-108.
PMID: 34795091
Ontologies listed in the OBO Foundry are often regarded as reliable choices to be reused but ontology interoperability of them remains unknown. This study evaluated the resolvability of URIs and...
10.
Kamminga T, Benis N, Martins Dos Santos V, Bijlsma J, Schaap P
Front Microbiol
. 2020 Aug;
11:1679.
PMID: 32765473
() causes enzootic pneumonia in pigs but it is still largely unknown which host-pathogen interactions enable persistent infection and cause disease. In this study, we analyzed the host and bacterial...