Automated Identification of Common Disease-Specific Outcomes for Comparative Effectiveness Research Using ClinicalTrials.gov: Algorithm Development and Validation Study

BACKGROUND: Common disease-specific outcomes are vital for ensuring comparability of clinical trial data and enabling meta analyses and interstudy comparisons. Traditionally, the process of deciding which outcomes should be recommended as common for a particular disease relied on assembling and surv...

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Detalles Bibliográficos
Autores principales: Elghafari, Anas, Finkelstein, Joseph
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2021
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7899806/
https://www.ncbi.nlm.nih.gov/pubmed/33460388
http://dx.doi.org/10.2196/18298

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7899806/
https://www.ncbi.nlm.nih.gov/pubmed/33460388
http://dx.doi.org/10.2196/18298

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