Complete hazard ranking to analyze right-censored data: An ALS survival study
Fig 2
Comparison of performance and predictive features availability.
A: The results of 2-fold cross validations are shown for each regression method in this in this figure, Cox: Cox proportional hazards regression model, RSF: random survival forest, GPR: Gaussian process regression, Linear: linear (Lasso) regression, and RF: random forest. For Cox model and random survival forest, the time-event data was used as the training target while our ranking values were used for the other 3 regression method. The distribution of concordance index is represented by the width of the violin shape: the wider the shape, the greater the sample concentrated. The three red horizontal lines in each violin shape shows the lowest, mean, and the highest concordance for each method. B: The eleven features used and their availability. Weight = weight in kg; mouth = composite score of ALSFRS questions 1–3; fvc1/fvc2 = value (in liter) of first/second attempt in fvc measurement, fvc = average of fvc values in measurement attempts; Q3_swallowing = ALSFRS Question 3 score; chloride = chloride concentration in blood; ALSFRS_total = sum of ALSFRS question scores; Q8_walking = question 8 of ALSFRS; respiratory = question 10 in ALSFRS and question 1 in ALSFRS-R; leg = composite scores combining ALSFRS question 8 to 9.