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Search results (176)

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Evaluating large language models for clinical note processing: local fine-tuning and internal-external validation using electronic health records from South Asia.

Hasheminasab SA. et al, (2026), BMC Med Inform Decis Mak

Mapping the potential and limitations of using generative AI technologies to address socio-economic challenges in LMICs.

Adams R. et al, (2026), Nat Comput Sci

Detecting brick kiln infrastructure at scale: graph, foundation, and remote sensing models for satellite imagery data

Nazir U. et al, (2026)

Prevalence of 406 rare diseases by ethnicity and their associated COVID-19 infection burden: A national cross-sectional study of 62.5 million people in England

Gu Q. et al, (2026)

Causal Forests Versus Inverse Probability of Treatment Weighting to Adjust for Cluster-Level Confounding: A Parametric and Plasmode Simulation Study Based on US Hospital Electronic Health Record Data.

Du M. et al, (2025), Pharmacoepidemiol Drug Saf, 34

Changes in use and utilisation patterns of drugs with reported shortages between 2010 and 2024 in Europe and North America: a network cohort study

Pineda-Moncusí M. et al, (2025), The Lancet Public Health, 10, e835 - e847

Clusters of post-acute COVID-19 symptoms: a latent class analysis across 9 databases and 7 countries.

López-Güell K. et al, (2025), J Clin Epidemiol, 185

Is fine-tuning useful in EHR-based prediction models? A use case on mortality prediction with longitudinal data from Spanish (SIDIAP) and UK (CPRD) populations aged over 65 years

Carrasco-Ribelles LA. et al, (2025), 107 - 110

Ethnic disparities in COVID-19 mortality and cardiovascular disease in England and Wales between 2020-2022.

Pineda-Moncusí M. et al, (2025), Nat Commun, 16

Developing and externally validating a multivariable prediction model to predict the risk of developing psoriatic arthritis in adults newly diagnosed with psoriasis in primary care: an observational cohort study

Vivekanantham A. et al, (2025), Annals of the Rheumatic Diseases, 84, 562 - 563

Recommendations for Successful Development and Implementation of Digital Health Technology Tools.

Loo RTJ. et al, (2025), J Med Internet Res, 27

Use of Machine Learning to Compare Disease Risk Scores and Propensity Scores Across Complex Confounding Scenarios: A Simulation Study.

Guo Y. et al, (2025), Pharmacoepidemiol Drug Saf, 34

Five ways to enhance the diversity and quality of health data.

Quattroni P. et al, (2025), Nat Med, 31, 1747 - 1750

Correction: Five ways to enhance the diversity and quality of health data.

Quattroni P. et al, (2025), Nat Med, 31

dvancing breast, lung and prostate cancer research with federated learning. A systematic review.

Ankolekar A. et al, (2025), NPJ Digit Med, 8

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