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Utilizing large language models for detecting hospital-acquired conditions: an empirical study on pulmonary embolism

Author(s): Cheligeer C; Southern DA; Yan J; Wu G; Pan J; Lee S; Martin EA; Jafarpour H; Eastwood CA; Zeng Y; Quan H;

Objectives: Adverse event detection from Electronic Medical Records (EMRs) is challenging due to the low incidence of the event, variability in clinical documentation, and the complexity of data formats. Pulmonary embolism as an adverse event (PEAE) is particularly difficult to identify using exi ...

Article GUID: 40105654


Cross-collection latent Beta-Liouville allocation model training with privacy protection and applications

Author(s): Luo Z; Amayri M; Fan W; Bouguila N;

Cross-collection topic models extend previous single-collection topic models, such as Latent Dirichlet Allocation (LDA), to multiple collections. The purpose of cross-collection topic modeling is to model document-topic representations and reveal similarities between each topic and differences among groups. However, the restriction of Dirichlet prior and ...

Article GUID: 36685642


Understanding the temporal evolution of COVID-19 research through machine learning and natural language processing.

Author(s): Ebadi A; Xi P; Tremblay S; Spencer B; Pall R; Wong A;

The outbreak of the novel coronavirus disease 2019 (COVID-19), caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has been continuously affecting human lives and communities around the world in many ways, from cities under lockdown to new social experiences. Although in most cases COVID-19 results in mild illness, it has drawn glob ...

Article GUID: 33230352


Biodiversity Observations Miner: A web application to unlock primary biodiversity data from published literature.

Author(s): Muñoz G, Kissling WD, van Loon EE

Biodivers Data J. 2019;(7):e28737 Authors: Muñoz G, Kissling WD, van Loon EE

Article GUID: 30692868


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