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Readable research linked to original sources
Browse normalized, publication-ready research with direct links to its evidence and source.
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Readable research linked to original sources
Browse normalized, publication-ready research with direct links to its evidence and source.
4 articles
Newest firstObjectiveHealthcare decisions are increasingly made with the assistance of machine learning (ML). ML has been known to have unfairness - inconsistent outcomes across subpopulations. Clinicians interacting with these systems can perpetuate such unfairness by overreliance. Recent work exploring ML suppression - silencing predictions based on auditing the ML - shows promise in mitigating performance issues originatin…
Open article record in new tab ↗Machine learning models support many clinical tasks; however, challenges arise with the transportability of these models across a network of healthcare sites. While there are guidelines for updating models to account for local context, we hypothesize that not all healthcare organizations, especially those in smaller and rural communities, have the necessary patient volumes to facilitate local fine tuning to ensure…
Open article record in new tab ↗Electronic Health Record (EHR) audit log data are increasingly utilized for clinical tasks, from workflow modeling to predictive analyses of discharge events, adverse kidney outcomes, and hospital readmissions. These data encapsulate user-EHR interactions, reflecting both healthcare professionals behavior and patients health statuses. To harness this temporal information effectively, this study explores the applic…
Open article record in new tab ↗BackgroundThe launch of the Chat Generative Pre-trained Transformer (ChatGPT) in November 2022 has attracted public attention and academic interest to large language models (LLMs), facilitating the emergence of many other innovative LLMs. These LLMs have been applied in various fields, including healthcare. Numerous studies have since been conducted regarding how to employ state-of-the-art LLMs in health-related s…