Assessing the Generalizability of Cancer Prognosis Models: Breast and Colon Cancer Case Studies
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-67751-9_10
Reference18 articles.
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3. He, S., et al.: Real-world practice of gastric cancer prevention and screening calls for practical prediction models. Clin. Transl. Gastroenterol. (2023). https://doi.org/10.14309/ctg.0000000000000546
4. Phung, M.T., Tin Tin, S., Elwood, J.M.: Prognostic models for breast cancer: a systematic review. BMC Cancer (2019). https://doi.org/10.1186/s12885-019-5442-6
5. Maleki, F., Ovens, K., Gupta, R., Reinhold, C., Spatz, A., Forghani, R.: Generalizability of machine learning models: quantitative evaluation of three methodological pitfalls. Radiol. Artif. Intell. 16;5(1), e220028 (2022). https://doi.org/10.1148/ryai.220028. PMID 36721408; PMCID PMC9885377
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