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Farr Institute

United Kingdom

2 papers here40 citations across 2
fields
  • astro-ph.SR1
  • stat.AP1
ROR 0585r9546OpenAlex

affiliations via OpenAlex

most citedExamining the impact of data quality and completeness of electronic health records on predictions of patients risks of cardiovascular disease

26 citations

researchers with a paper here
  • A. Chiavassa1 · h 69
  • Arturo O. Martinez1 · h 8
  • C. Farrington1 · h 38
  • C. Paladini1 · h 20
  • D. Ashcroft1 · h 70
  • D. Gies1 · h 47
  • E. Pedretti1 · h 28
  • F. Baron1 · h 23
  • G. Martin1 · h 30
  • G. Schaefer1 · h 34
  • H. Neilson1 · h 20
  • J. B. Lester1 · h 18
collaborating institutions
  • Ames Research CenterUS1 paper
  • Centre National de la Recherche ScientifiqueFR1 paper
  • Community Science and Data CenterUS1 paper
  • Eötvös Loránd UniversityHU1 paper
  • European Southern ObservatoryCL1 paper
  • Georgia State UniversityUS1 paper
  • HUN-REN Research Centre for Astronomy and Earth SciencesHU1 paper
  • Institute of AstronomyRU1 paper
  • Konkoly ObservatoryHU1 paper
  • KU LeuvenBE1 paper
  • Laboratoire d’études spatiales et d’instrumentation en astrophysiqueFR1 paper
  • Manchester Academic Health Science CentreGB1 paper
Showing stat.APShow all

1 paper · 1 filter

stat.AP2019★ 26 cited

Examining the impact of data quality and completeness of electronic health records on predictions of patients risks of cardiovascular disease

Yan Li, Matthew Sperrin, Glen P. Martin +2

The objective is to assess the extent of variation of data quality and completeness of electronic health records and impact on the robustness of risk predictions of incident cardio…

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