Empirical comparison of routinely collected electronic health record data for head and neck cancer‐specific survival in machine‐learnt prognostic models

BACKGROUND: Knowledge of the prognostic factors and performance of machine learning predictive models for 2‐year cancer‐specific survival (CSS) is limited in the head and neck cancer (HNC) population. METHODS: Data from our facilities' oncology information system (OIS) collected for routine pra...

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Detalles Bibliográficos
Autores principales: Kotevski, Damian P., Smee, Robert I., Vajdic, Claire M., Field, Matthew
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2022
Materias:
Original Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10100433/
https://www.ncbi.nlm.nih.gov/pubmed/36369773
http://dx.doi.org/10.1002/hed.27241

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10100433/
https://www.ncbi.nlm.nih.gov/pubmed/36369773
http://dx.doi.org/10.1002/hed.27241

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