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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.
Loading articles data…
Readable research linked to original sources
Browse normalized, publication-ready research with direct links to its evidence and source.
5 articles
Newest firstElectronic healthcare records (EHR) use codes from different vocabularies to describe medical occurrences, often varying by type of care and country. Common data models (CDM) such as the Observational Medical Outcomes Partnership (OMOP) have been developed to enable the combination and comparison of heterogeneous datasets. We use the OMOP Standard Vocabularies to standardise two English EHR datasets and assess the…
Open article record in new tab ↗BackgroundAccess to trustworthy artificial intelligence (AI) models for clinical applications like emergency care is unevenly distributed globally due to healthcare inequities. Low-resource settings face challenges in AI model development due to limited data, small sample sizes, and inconsistent data quality. Moreover, models developed from high-resource settings are often not readily applicable in low-resource co…
Open article record in new tab ↗BackgroundWidespread misinformation in Web resources can lead to serious implications for individuals seeking health advice. Despite that, information retrieval models are often focused only on the query-document relevance dimension to rank results. ObjectiveWe investigate a multi-dimensional information quality retrieval model based on deep learning to enhance the effectiveness of online healthcare information se…
Open article record in new tab ↗BackgroundRisk prediction models are used in healthcare settings to tailor therapies to individuals most likely to benefit. Despite appropriate external validation, difference in local characteristics (e.g. patient mix) may attenuate model performance. Prior to any implementation it is therefore advisable to explore local performance, typically requiring a modest amount of historic data. Depending on model perform…
COVID-19 is unlikely to be the last pandemic that we face. According to an analysis of a global dataset of historical pandemics from 1600 to the present, the risk of a COVID-like pandemic has been estimated as 2.63% annually or a 38% lifetime probability. This rate may double over the coming decades. While we may be unable to prevent future pandemics, we can reduce their impact by investing in preparedness. In thi…
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