Development of a “meta-model” to address missing data, predict patient-specific cancer survival and provide a foundation for clinical decision support

OBJECTIVE: Like most real-world data, electronic health record (EHR)–derived data from oncology patients typically exhibits wide interpatient variability in terms of available data elements. This interpatient variability leads to missing data and can present critical challenges in developing and imp...

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Detalles Bibliográficos
Autores principales: Baron, Jason M, Paranjape, Ketan, Love, Tara, Sharma, Vishakha, Heaney, Denise, Prime, Matthew
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Research and Applications
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7936528/
https://www.ncbi.nlm.nih.gov/pubmed/33260202
http://dx.doi.org/10.1093/jamia/ocaa254

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7936528/
https://www.ncbi.nlm.nih.gov/pubmed/33260202
http://dx.doi.org/10.1093/jamia/ocaa254

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