Solving the puzzle of quality of life in cancer: integrating causal inference and machine learning for data-driven insights.

Although the type of cancer diagnosis emerged as the most influential causal factor for QL2 in both the manual approach and the LiNGAM algorithm, it did not reach statistical significance in the multivariate analysis conducted using classical regression analysis.

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