Fig. 5
From: Predicting time-to-first cancer diagnosis across multiple cancer types
Heatmap of scaled coefficients by feature and cancer-specific cox proportional hazards model: This heatmap displays the scaled coefficients of selected features across various cancer types as determined by cancer-specific Cox proportional hazards models. Rows represent features such as age, BMI, cumulative smoking history, family history of cancers (e.g., melanoma, glioblastoma, head and neck cancer), and demographic variables (e.g., race and gender). Columns represent cancer-specific models. Positive coefficients indicate a higher risk, while negative coefficients indicate a protective effect. The color gradient reflects the magnitude and direction of the coefficients, with red indicating higher positive values and blue indicating negative values.
