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Published in 2024 at "Pharmacoepidemiology and Drug Safety"
DOI: 10.1002/pds.5851
Abstract: Oncology databases that integrate genomic and clinical data have become valuable resources for precision medicine. However, the generalizability of these databases has not been comprehensively assessed.
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Keywords:
newly diagnosed;
invasive breast;
patient cohorts;
comparison newly ... See more keywords
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Published in 2020 at "Netherlands Heart Journal"
DOI: 10.1007/s12471-020-01456-4
Abstract: In 2011 the Netherlands Heart Foundation allocated funding (CVON, Cardiovasculair Onderzoek Nederland) to stimulate collaboration between clinical and preclinical researchers on specific areas of research. One of those areas involves genetic heart diseases, which are…
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Keywords:
cohorts biobanks;
research;
cardiomyopathy research;
strength patient ... See more keywords
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Published in 2023 at "Journal of medical economics"
DOI: 10.1080/13696998.2023.2187196
Abstract: BACKGROUND Real-world evidence is a valuable source of information in healthcare. This study describes the challenges and successes during algorithm development to identify cancer cohorts and multi-agent chemotherapy regimens from claims data to perform a…
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Keywords:
patients cancer;
csf;
chemotherapy regimens;
patient cohorts ... See more keywords
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Published in 2019 at "European Journal of Anaesthesiology"
DOI: 10.1097/eja.0000000000001014
Abstract: BACKGROUND Clinical risk factors for postoperative nausea and vomiting (PONV) are well described, whereas genetic findings are conflicting. OBJECTIVE The aim of this study was to investigate a possible association of genetic variants and nongenetic…
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Keywords:
postoperative nausea;
nausea vomiting;
patient cohorts;
study ... See more keywords
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Published in 2025 at "Journal of Clinical Oncology"
DOI: 10.1200/jco.2025.43.16_suppl.e23320
Abstract: e23320 Background: Patient cohorts using clinically rich Real-World Data (RWD) extracted from medical records have been used to generate RWE. These patient cohorts are static, containing only data until the time of data extraction; typically,…
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Keywords:
oncology;
generate;
patient cohorts;
sde technology ... See more keywords
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Published in 2024 at "Studies in health technology and informatics"
DOI: 10.3233/shti240613
Abstract: In clinical research, the analysis of patient cohorts is a widely employed method for investigating relevant healthcare questions. The ability to automatically extract large-scale patient cohorts from hospital systems is vital in order to unlock…
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Keywords:
imaging data;
cohort builder;
medical records;
software pipeline ... See more keywords
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Published in 2024 at "Frontiers in Bioengineering and Biotechnology"
DOI: 10.3389/fbioe.2024.1363081
Abstract: Introduction: Achieving an adequate level of detail is a crucial part of any modeling process. Thus, oversimplification of complex systems can lead to overestimation, underestimation, and general bias of effects, while elaborate models run the…
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Keywords:
musculoskeletal spine;
modeling large;
large patient;
patient cohorts ... See more keywords
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Published in 2025 at "Algorithms"
DOI: 10.3390/a18080475
Abstract: Large, high-quality patient datasets are essential for applications like economic modeling and patient simulation. However, real-world data is often inaccessible or incomplete. Synthetic patient data offers an alternative, and current methods often fail to preserve…
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Keywords:
correlations logical;
real world;
synthetic patient;
patient cohorts ... See more keywords
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Published in 2022 at "Healthcare Informatics Research"
DOI: 10.4258/hir.2022.28.3.240
Abstract: Objectives This study investigated the effectiveness of using standardized vocabularies to generate epilepsy patient cohorts with local medical codes, SNOMED Clinical Terms (SNOMED CT), and International Classification of Diseases tenth revision (ICD-10)/Korean Classification of Diseases-7…
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Keywords:
icd kcd;
patient cohorts;
snomed icd;
cohort ... See more keywords