Published on in Vol 9, No 4 (2021): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/21547, first published .
Implementation of the COVID-19 Vulnerability Index Across an International Network of Health Care Data Sets: Collaborative External Validation Study

Implementation of the COVID-19 Vulnerability Index Across an International Network of Health Care Data Sets: Collaborative External Validation Study

Implementation of the COVID-19 Vulnerability Index Across an International Network of Health Care Data Sets: Collaborative External Validation Study

Journals

  1. Kim T, Noh S, Kim Y, Lee C, Kim J, Jeong C, Yoon K. Development and validation of a management system and dataset quality assessment tool for the Radiology Common Data Model (R_CDM): A case study in liver disease. International Journal of Medical Informatics 2022;162:104759 View
  2. Khalid S, Yang C, Blacketer C, Duarte-Salles T, Fernández-Bertolín S, Kim C, Park R, Park J, Schuemie M, Sena A, Suchard M, You S, Rijnbeek P, Reps J. A standardized analytics pipeline for reliable and rapid development and validation of prediction models using observational health data. Computer Methods and Programs in Biomedicine 2021;211:106394 View
  3. Singh H, Mhasawade V, Chunara R, Pollard T. Generalizability challenges of mortality risk prediction models: A retrospective analysis on a multi-center database. PLOS Digital Health 2022;1(4):e0000023 View
  4. Lapi F, Domnich A, Marconi E, Rossi A, Grattagliano I, Lagolio E, Medea G, Sessa A, Cricelli I, Icardi G, Cricelli C. Predicting the risk of severe COVID-19 outcomes in primary care: development and validation of a vulnerability index for equitable allocation of effective vaccines. Expert Review of Vaccines 2022;21(3):377 View
  5. Yang C, Kors J, Ioannou S, John L, Markus A, Rekkas A, de Ridder M, Seinen T, Williams R, Rijnbeek P. Trends in the conduct and reporting of clinical prediction model development and validation: a systematic review. Journal of the American Medical Informatics Association 2022;29(5):983 View
  6. Lee D, Kim C, Lee S, Son S, Cho S, Cho Y, Lim J, Park R. Psychosis Relapse Prediction Leveraging Electronic Health Records Data and Natural Language Processing Enrichment Methods. Frontiers in Psychiatry 2022;13 View
  7. de Ridder M, de Wilde M, de Ben C, Leyba A, Mosseveld B, Verhamme K, van der Lei J, Rijnbeek P. Data Resource Profile: The Integrated Primary Care Information (IPCI) database, The Netherlands. International Journal of Epidemiology 2022;51(6):e314 View
  8. Raventós B, Fernández-Bertolín S, Aragón M, Voss E, Blacketer C, Méndez-Boo L, Recalde M, Roel E, Pistillo A, Reyes C, van Sandijk S, Halvorsen L, Rijnbeek P, Burn E, Duarte-Salles T. Transforming the Information System for Research in Primary Care (SIDIAP) in Catalonia to the OMOP Common Data Model and Its Use for COVID-19 Research. Clinical Epidemiology 2023;Volume 15:969 View
  9. Moore H, Hill B, Emery J, Gussy M, Siriwardena A, Spaight R, Tanser F. An early warning precision public health approach for assessing COVID-19 vulnerability in the UK: the Moore-Hill Vulnerability Index (MHVI). BMC Public Health 2023;23(1) View
  10. Naderalvojoud B, Curtin C, Yanover C, El-Hay T, Choi B, Park R, Tabuenca J, Reeve M, Falconer T, Humphreys K, Asch S, Hernandez-Boussard T. Towards global model generalizability: independent cross-site feature evaluation for patient-level risk prediction models using the OHDSI network. Journal of the American Medical Informatics Association 2024;31(5):1051 View
  11. Kim C, Yu D, Baek H, Cho J, You S, Park R. Data Resource Profile: Health Insurance Review and Assessment Service Covid-19 Observational Medical Outcomes Partnership (HIRA Covid-19 OMOP) database in South Korea. International Journal of Epidemiology 2024;53(3) View