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Table 1 Statistical values for biomarker detection over 10 data set iterations. Our proposed survival-time-based similarity measure (STSM) is compared to the Heterogeneous Euclidian-Overlap Metric (HEOM), Discretized Value Difference Metric (DVDM) and a random pick algorithm

From: Methods for a similarity measure for clinical attributes based on survival data analysis

  Numeric Biomarker for arm A Nominal Biomarker for arm A
Mean accuracy (SD) Mean precision (SD) Mean recall (SD) Mean F1-score (SD) Mean accuracy (SD) Mean precision (SD) Mean recall (SD) Mean F1-score (SD)
STSM 0,944 (0,043) 0,946 (0,044) 0,946 (0,044) 0,946 (0,044) 0,998 (0,002) 0,999 (0,001) 0,993 (0,006) 0,996 (0,004)
HEOM 0,657 (0,013) 0,678 (0,029) 0,684 (0,032) 0,681 (0,03) 0,831 (0,004) 0,759 (0,011) 0,638 (0,013) 0,694 (0,012)
DVDM 0,564 (0,064) 0,595 (0,057) 0,596 (0,058) 0,596 (0,057) 0,644 (0,046) 0,401 (0,081) 0,37 (0,06) 0,384 (0,07)
RANDOM 0,502 (0,007) 0,536 (0,034) 0,535 (0,034) 0,535 (0,034) 0,582 (0,01) 0,3 (0,01) 0,298 (0,011) 0,299 (0,01)
  Numeric Biomarker for arm B Nominal Biomarker for arm B
  Mean accuracy (SD) Mean precision (SD) Mean recall (SD) Mean F1-score (SD) Mean accuracy (SD) Mean precision (SD) Mean recall (SD) Mean F1-score (SD)
STSM 0,909 (0,05) 0,914 (0,048) 0,915 (0,048) 0,915 (0,048) 0,997 (0,003) 1 (0) 0,99 (0,009) 0,995 (0,005)
HEOM 0,661 (0,012) 0,685 (0,025) 0,7 (0,019) 0,692 (0,022) 0,83 (0,003) 0,76 (0,009) 0,648 (0,022) 0,699 (0,016)
DVDM 0,535 (0,012) 0,573 (0,022) 0,577 (0,032) 0,575 (0,025) 0,671 (0,105) 0,467 (0,188) 0,424 (0,151) 0,444 (0,168)
RANDOM 0,505 (0,009) 0,546 (0,028) 0,545 (0,03) 0,546 (0,029) 0,574 (0,013) 0,303 (0,013) 0,303 (0,014) 0,303 (0,013)