Breast cancer survival analysis agents for clinical decision support

Manzo, Gaetano; Pannatier, Yvan; Duflot, Patrick; Kolh, Philippe; Chavez, Marcela; Bleret, Valerie; Calvaresi, Davide; Jiménez–del–Toro, Oscar; Schumacher, Michael; Calbimonte, Jean-Paul

doi:10.1016/j.cmpb.2023.107373

Cited by 6 publications

(1 citation statement)

References 30 publications

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“…The choice of algorithms, such as CART, C4.5, or random forests, introduces variability in model performance and interpretability. Comparative analyses, like that conducted by [17][18][19][20], have shed light on the strengths and limitations of different decision tree algorithms in the context of breast cancer risk analysis.…”

Section: Literature Surveymentioning

confidence: 99%

Analyzing the Impact of Breast Cancer Risk Factors Using Decision Tree Modeling

2023

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Breast cancer remains a significant global health concern, emphasizing the need for comprehensive investigations into its risk factors. This study employs decision tree modeling to analyze the impact of various factors on breast cancer incidence, aiming to contribute valuable insights for prevention and early intervention. Our findings reveal compelling patterns in breast cancer risk factors, shedding light on key variables that significantly influence susceptibility. Through rigorous decision tree modeling, we identify high-risk groups and highlight novel associations that warrant attention. The implications of these findings extend to both clinical practice and public health initiatives, providing a foundation for targeted prevention strategies and personalized healthcare approaches. This study not only enhances our understanding of breast cancer etiology but also underscores the utility of decision tree modeling in unraveling complex relationships within large datasets. As the field of breast cancer research continues to evolve, the insights presented here pave the way for future investigations, emphasizing the importance of tailored risk assessment and intervention strategies.

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Section: Literature Surveymentioning

confidence: 99%