Results 111 to 120 of about 2,261 (201)
ABSTRACT Real‐world data (RWD) offers a valuable opportunity to access vast information that can drive research and generate real‐world evidence (RWE), offering insights into the actual delivery of care and patient outcomes beyond the limitations of traditional clinical trials.
Katharine Cresswell +12 more
wiley +1 more source
Accurately labeling outcomes in real‐world data for machine learning is challenging due to data sparsity and imbalances. This study developed and evaluated a pharmacokinetic–pharmacodynamic (PKPD)‐informed labeling strategy to enhance the risk prediction of docetaxel‐induced neutropenia.
Conor J O’Hanlon +9 more
wiley +1 more source
The objective of the study is to augment safety and effectiveness evaluation of medical devices through building a reusable unique device identifier (UDI) interoperability solution.
Guoqian Jiang +3 more
semanticscholar +1 more source
ABSTRACT Aim To estimate the prevalence of medication use in nonhospitalized pregnant women with COVID‐19. Methods A prospective two‐stage individual patient meta‐analysis across 10 data sources in Europe and North America studied medication use among nonhospitalized pregnant women with COVID‐19 between January 2020 and December 2022.
Odette de Bruin +73 more
wiley +1 more source
Safety of hydroxychloroquine, alone and in combination with azithromycin, in light of rapid wide-spread use for COVID-19: a multinational, network cohort and self-controlled case series study [PDF]
Background: Hydroxychloroquine has recently received Emergency Use Authorization by the FDA and is currently prescribed in combination with azithromycin for COVID-19 pneumonia.
Prieto-Alhambra, Daniel +6 more
core +1 more source
Objective: Selecting cohort-relevant clinical concepts from high-dimensional observational health data remains a persistent bottleneck in trajectory analysis, phenotyping, and real-world evidence studies.
Markus Haug +10 more
doaj +1 more source
Mapping Drug Terms via Integration of a Retrieval-Augmented Generation Algorithm with a Large Language Model [PDF]
Objectives This study evaluated the efficacy of integrating a retrieval-augmented generation (RAG) model and a large language model (LLM) to improve the accuracy of drug name mapping across international vocabularies.
Eizen Kimura +3 more
doaj +1 more source
Objective Accurate electronic phenotyping is essential to support collaborative observational research. Supervised machine learning methods can be used to train phenotype classifiers in a high-throughput manner using imperfectly labeled data.
M. Kashyap +7 more
semanticscholar +1 more source
The emergence of collaborations, which standardize and combine multiple clinical databases across different regions, provide a wealthy source of data, which is fundamental for clinical prediction models, such as patient-level predictions. With the aid of
Najia Ahmadi +3 more
doaj +1 more source
OBJECTIVES/SPECIFIC AIMS: Hepatitis C viral (HCV) infections are rising significantly both in young adults and as newly diagnosed cases in “baby boomers.” New HCV therapeutics cure over 95% of cases, and a call has been made for elimination of the ...
Dawn A Fishbein +11 more
doaj +1 more source

