Application of machine learning in predicting survival outcomes involving real-world data: a scoping review

BACKGROUND: Despite the interest in machine learning (ML) algorithms for analyzing real-world data (RWD) in healthcare, the use of ML in predicting time-to-event data, a common scenario in clinical practice, is less explored. ML models are capable of algorithmically learning from large, complex data...

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Detalles Bibliográficos
Autores principales: Huang, Yinan, Li, Jieni, Li, Mai, Aparasu, Rajender R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10641971/
https://www.ncbi.nlm.nih.gov/pubmed/37957593
http://dx.doi.org/10.1186/s12874-023-02078-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10641971/
https://www.ncbi.nlm.nih.gov/pubmed/37957593
http://dx.doi.org/10.1186/s12874-023-02078-1

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