cpgQA: A Benchmark Dataset for Machine Reading Comprehension Tasks on Clinical Practice Guidelines and a Case Study Using Transfer Learning

Autor: Maria Mahbub, Edmon Begoli, Susana Martins, Alina Peluso, Suzanne Tamang, Gregory Peterson

Publikováno v: IEEE Access, Vol 11, Pp 3691-3705 (2023)

Biomedical machine reading comprehension (bio-MRC), a crucial task in natural language processing, is a vital application of a computer-assisted clinical decision support system. It can help clinicians extract critical information effortlessly for cl

Externí odkaz: https://doaj.org/article/1acf32cb8f644499bc35bf8e94f41f22

Unstructured clinical notes within the 24 hours since admission predict short, mid & long-term mortality in adult ICU patients.

Autor: Maria Mahbub, Sudarshan Srinivasan, Ioana Danciu, Alina Peluso, Edmon Begoli, Suzanne Tamang, Gregory D Peterson

Publikováno v: PLoS ONE, Vol 17, Iss 1, p e0262182 (2022)

Mortality prediction for intensive care unit (ICU) patients is crucial for improving outcomes and efficient utilization of resources. Accessibility of electronic health records (EHR) has enabled data-driven predictive modeling using machine learning.

Externí odkaz: https://doaj.org/article/3e0af8197a5c4624b85ca3ca663db3c6

The impact of acute nutritional interventions on the plasma proteome

Autor: Spyros I Vernardis, Vadim Demichev, Oliver Lemke, Nana-Maria Grüning, Christoph Messner, Matt White, Maik Pietzner, Alina Peluso, Tinh-Hai Collet, Elana Henning, Christoph Gille, Archie Campbell, Caroline Hayward, David J Porteous, Riccardo E Marioni, Michael Mülleder, Aleksej Zelezniak, Nicholas J Wareham, Claudia Langenberg, I Sadaf Farooqi, Markus Ralser

Publikováno v: Vernardis, S I, Demichev, V, Lemke, O, Grüning, N-M, Messner, C, White, M, Pietzner, M, Peluso, A, Collet, T-H, Henning, E, Gille, C, Campbell, A, Hayward, C, Porteous, D J, Marioni, R E, Mülleder, M, Zelezniak, A, Wareham, N J, Langenberg, C, Farooqi, I S & Ralser, M 2023, ' The impact of acute nutritional interventions on the plasma proteome ', The Journal of Clinical Endocrinology & Metabolism (JCEM) . https://doi.org/10.1210/clinem/dgad031

ContextHumans respond profoundly to changes in diet, while nutrition and environment have a great impact on population health. It is therefore important to deeply characterize the human nutritional responses.ObjectiveEndocrine parameters and the meta

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f426e85a22593bab4308fc1d762bf067

Automatic information extraction from childhood cancer pathology reports

Autor: Hong-Jun Yoon, Alina Peluso, Eric B Durbin, Xiao-Cheng Wu, Antoinette Stroup, Jennifer Doherty, Stephen Schwartz, Charles Wiggins, Linda Coyle, Lynne Penberthy

Publikováno v: JAMIA Open. 5

Objectives The International Classification of Childhood Cancer (ICCC) facilitates the effective classification of a heterogeneous group of cancers in the important pediatric population. However, there has been no development of machine learning mode

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c1d6aa0c7809a25a4f3122e82d4de821
https://doi.org/10.1093/jamiaopen/ooac049

VA EDH Data Curation Documentation FY2022-Q1, Rev. 2

Autor: Blair Christian, Hilda Klasky, Kevin Sparks, Alina Peluso, Joe Tuccillo, Pravallika Devineni, Rochelle Watson

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::1fd08b973240fb907dc5a1a019e85d13
https://doi.org/10.2172/1854460