Calibration and Validation of the Colorectal Cancer and Adenoma Incidence and Mortality (CRC-AIM) Microsimulation Model Using Deep Neural Networks

OBJECTIVES: Machine learning (ML)–based emulators improve the calibration of decision-analytical models, but their performance in complex microsimulation models is yet to be determined. METHODS: We demonstrated the use of an ML-based emulator with the Colorectal Cancer (CRC)-Adenoma Incidence and Mo...

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Detalles Bibliográficos
Autores principales: Vahdat, Vahab, Alagoz, Oguzhan, Chen, Jing Voon, Saoud, Leila, Borah, Bijan J., Limburg, Paul J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2023
Materias:
Original Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10422851/
https://www.ncbi.nlm.nih.gov/pubmed/37434445
http://dx.doi.org/10.1177/0272989X231184175

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10422851/
https://www.ncbi.nlm.nih.gov/pubmed/37434445
http://dx.doi.org/10.1177/0272989X231184175

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