Machine learning algorithms that predict the risk of prostate cancer based on metabolic syndrome and sociodemographic characteristics: a prospective cohort study

Machine learning algorithms that predict the risk of prostate cancer based on metabolic syndrome and sociodemographic characteristics: a prospective cohort study

Abstract Background Given the rapid increase in the prevalence of prostate cancer (PCa), identifying its risk factors and developing suitable risk prediction models has important implications for public health. We used machine learning (ML) approach to screen participants with high risk of PCa and,...

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Bibliographic Details
Main Authors: Tao Thi Tran, Jeonghee Lee, Junetae Kim, Sun-Young Kim, Hyunsoon Cho, Jeongseon Kim
Format: Article
Language:English
Published: BMC 2024-12-01
Series:BMC Public Health
Subjects:
Prostate cancer
Machine learning
Metabolic syndrome
Korea
Online Access:https://doi.org/10.1186/s12889-024-20852-8
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https://doi.org/10.1186/s12889-024-20852-8

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