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Fig. 2 | Health and Quality of Life Outcomes

Fig. 2

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

Fig. 2

Evaluation of directed acyclic graph (DAG). Directed acyclic graph structure. Directed acyclic graph (DAG) network of causal relationships among variables. Quality of life dimensions: NV, nausea and vomiting; SL, insomnia; AP, appetite loss; CO, constipation; DI, diarrhea; FI, financial difficulties; PF2, physical functioning; FA, fatigue; PA, pain; DY, dyspnea; RF2, role functioning; EF, emotional functioning; CF, cognitive functioning; QL2, global quality of life; SF, social functioning. Time_after_dx; time elapsed after diagnosis, diagx2_2d; type of cancer diagnosis (lung or colorectal cancer versus other cancers), active_treatment; whether the patient is on active treatment, stage; TNM stage of cancer

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Health and Quality of Life Outcomes

ISSN: 1477-7525

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