Barbara Benoit
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Explore the profile of Barbara Benoit including associated specialties, affiliations and a list of published articles.
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12
Citations
272
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Recent Articles
1.
Spotnitz M, Acharya N, Cimino J, Murphy S, Namjou B, Crimmins N, et al.
JAMIA Open
. 2023 May;
6(2):ooad032.
PMID: 37181728
With the burgeoning development of computational phenotypes, it is increasingly difficult to identify the right phenotype for the right tasks. This study uses a mixed-methods approach to develop and evaluate...
2.
Ge T, Irvin M, Patki A, Srinivasasainagendra V, Lin Y, Tiwari H, et al.
Genome Med
. 2022 Jun;
14(1):70.
PMID: 35765100
Background: Type 2 diabetes (T2D) is a worldwide scourge caused by both genetic and environmental risk factors that disproportionately afflicts communities of color. Leveraging existing large-scale genome-wide association studies (GWAS),...
3.
Yu J, Pacheco J, Ghosh A, Luo Y, Weng C, Shang N, et al.
BMC Med Inform Decis Mak
. 2022 Jan;
22(1):23.
PMID: 35090449
Introduction: Currently, one of the commonly used methods for disseminating electronic health record (EHR)-based phenotype algorithms is providing a narrative description of the algorithm logic, often accompanied by flowcharts. A...
4.
Castro V, Gainer V, Wattanasin N, Benoit B, Cagan A, Ghosh B, et al.
J Am Med Inform Assoc
. 2021 Dec;
29(4):643-651.
PMID: 34849976
Objective: Integrating and harmonizing disparate patient data sources into one consolidated data portal enables researchers to conduct analysis efficiently and effectively. Materials And Methods: We describe an implementation of Informatics...
5.
Visweswaran S, Samayamuthu M, Morris M, Weber G, MacFadden D, Trevvett P, et al.
JAMIA Open
. 2021 Jun;
4(2):ooab036.
PMID: 34113801
Clinical data networks that leverage large volumes of data in electronic health records (EHRs) are significant resources for research on coronavirus disease 2019 (COVID-19). Data harmonization is a key challenge...
6.
Shang N, Khan A, Polubriaginof F, Zanoni F, Mehl K, Fasel D, et al.
NPJ Digit Med
. 2021 Apr;
4(1):70.
PMID: 33850243
Chronic Kidney Disease (CKD) represents a slowly progressive disorder that is typically silent until late stages, but early intervention can significantly delay its progression. We designed a portable and scalable...
7.
Visweswaran S, Samayamuthu M, Morris M, Weber G, MacFadden D, Trevvett P, et al.
medRxiv
. 2021 Apr;
PMID: 33791734
Clinical data networks that leverage large volumes of data in electronic health records (EHRs) are significant resources for research on coronavirus disease 2019 (COVID-19). Data harmonization is a key challenge...
8.
Namjou B, Stanaway I, Lingren T, Mentch F, Benoit B, Dikilitas O, et al.
Int J Obes (Lond)
. 2020 Sep;
45(1):155-169.
PMID: 32952152
Background/objectives: Melanocortin-4 receptor (MC4R) plays an essential role in food intake and energy homeostasis. More than 170 MC4R variants have been described over the past two decades, with conflicting reports...
9.
Making work visible for electronic phenotype implementation: Lessons learned from the eMERGE network
Shang N, Liu C, Rasmussen L, Ta C, Caroll R, Benoit B, et al.
J Biomed Inform
. 2019 Sep;
99:103293.
PMID: 31542521
Background: Implementation of phenotype algorithms requires phenotype engineers to interpret human-readable algorithms and translate the description (text and flowcharts) into computable phenotypes - a process that can be labor intensive...
10.
Hripcsak G, Shang N, Peissig P, Rasmussen L, Liu C, Benoit B, et al.
J Biomed Inform
. 2019 Jul;
96:103253.
PMID: 31325501
Background: Implementing clinical phenotypes across a network is labor intensive and potentially error prone. Use of a common data model may facilitate the process. Methods: Electronic Medical Records and Genomics...