Machine Learning and Real-World Data to Predict Lung Cancer Risk in Routine Care

BACKGROUND: This study used machine learning to develop a 3-year lung cancer risk prediction model with large real-world data in a mostly younger population. METHODS: Over 4.7 million individuals, aged 45 to 65 years with no history of any cancer or lung cancer screening, diagnostic, or treatment pr...

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Detalles Bibliográficos
Autores principales: Chandran, Urmila, Reps, Jenna, Yang, Robert, Vachani, Anil, Maldonado, Fabien, Kalsekar, Iftekhar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Association for Cancer Research 2023
Materias:
Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9986687/
https://www.ncbi.nlm.nih.gov/pubmed/36576991
http://dx.doi.org/10.1158/1055-9965.EPI-22-0873

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9986687/
https://www.ncbi.nlm.nih.gov/pubmed/36576991
http://dx.doi.org/10.1158/1055-9965.EPI-22-0873

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