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Support Vector Hazards Machine: A Counting Process Framework for Learning Risk Scores for Censored Outcomes

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Figure

Table 1: Comparison of four support vector learning methods for right censored data using
Table 2: Comparison of four support vector learning methods for right censored data usinga linear kernel, with censoring times following the Cox proportional hazards model
Table 3: Comparison of SVHM with Cox model based methods
Figure 1: Hazard ratios comparing two groups separated using percentiles of predictedscores as cut points for PREDICT-HD data with linear kernel.Blue curvesobtained from analyses with MRI imaging biomarkers and red curves withoutimaging biomarkers
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