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. Author manuscript; available in PMC: 2022 Aug 15.
Published in final edited form as: Cancer Biomark. 2022;33(2):185–198. doi: 10.3233/CBM-210306

Table 2:

Clinical task performance scores in micro- and macro-average F1 scores of the five information extraction tasks; site, subsite, laterality, histology, and behavior. The R on the left column denotes the attack registry that the data reserved for performing MIAs, A is the approaches; B(baseline), I2, I3, I4, I5, I6 for Sthreshold, and MI, # denotes the number of keywords in the vocabulary of the MT-CNN classifier. The μ on the last row is the numerical average across the above rows. Note that the Average on the right column is the numerical average of micro- and macro-F1 scores of all five tasks. Those quantities may not carry any clinical implication, but we introduced this for easier reading and comparison between models.

Site Subsite Laterality Histology Behavior Average
R A # Micro Macro Micro Macro Micro Macro Micro Macro Micro Macro Micro Macro
1 B 63121 0.925 0.690 0.683 0.360 0.914 0.528 0.778 0.352 0.974 0.860 0.855 0.558
I2 62732 0.926 0.701 0.683 0.354 0.917 0.533 0.782 0.368 0.975 0.910 0.856 0.573
I3 38519 0.926 0.691 0.683 0.342 0.915 0.501 0.778 0.336 0.975 0.912 0.855 0.556
I4 27411 0.926 0.696 0.681 0.354 0.915 0.522 0.779 0.342 0.973 0.884 0.855 0.560
I5 20201 0.926 0.704 0.683 0.355 0.918 0.537 0.781 0.340 0.974 0.909 0.856 0.569
I6 14088 0.927 0.698 0.683 0.347 0.915 0.532 0.781 0.356 0.975 0.910 0.856 0.569
MI 20000 0.924 0.697 0.683 0.346 0.917 0.548 0.782 0.347 0.975 0.913 0.856 0.570
MI 10000 0.924 0.677 0.642 0.344 0.912 0.516 0.770 0.330 0.972 0.896 0.844 0.553
MI 5000 0.916 0.664 0.592 0.321 0.907 0.493 0.754 0.320 0.963 0.848 0.827 0.529
MI 2000 0.889 0.591 0.533 0.221 0.691 0.257 0.719 0.258 0.922 0.749 0.751 0.415
2 B 52495 0.919 0.659 0.658 0.308 0.911 0.491 0.770 0.303 0.976 0.855 0.847 0.523
I2 51993 0.919 0.682 0.667 0.362 0.911 0.509 0.773 0.399 0.973 0.860 0.849 0.562
I3 32310 0.920 0.658 0.661 0.300 0.912 0.504 0.768 0.307 0.976 0.818 0.847 0.517
I4 23151 0.919 0.653 0.656 0.307 0.913 0.513 0.767 0.302 0.975 0.851 0.846 0.525
I5 17105 0.923 0.679 0.669 0.340 0.913 0.519 0.774 0.386 0.977 0.884 0.851 0.562
I6 11876 0.922 0.684 0.669 0.345 0.913 0.502 0.774 0.372 0.977 0.870 0.851 0.555
MI 20000 0.917 0.653 0.652 0.301 0.912 0.520 0.768 0.299 0.975 0.852 0.845 0.525
MI 10000 0.917 0.648 0.627 0.298 0.911 0.483 0.768 0.289 0.975 0.856 0.839 0.515
MI 5000 0.909 0.641 0.583 0.283 0.898 0.490 0.743 0.287 0.961 0.781 0.819 0.497
MI 2000 0.881 0.592 0.533 0.232 0.689 0.276 0.704 0.277 0.926 0.743 0.747 0.424
3 B 61834 0.925 0.688 0.678 0.348 0.913 0.522 0.778 0.362 0.976 0.892 0.854 0.562
I2 61492 0.926 0.686 0.681 0.350 0.914 0.530 0.780 0.374 0.976 0.907 0.855 0.569
I3 37650 0.925 0.681 0.680 0.345 0.915 0.541 0.781 0.339 0.976 0.903 0.855 0.562
I4 26470 0.922 0.640 0.665 0.293 0.914 0.500 0.768 0.247 0.976 0.886 0.849 0.513
I5 19046 0.925 0.683 0.680 0.335 0.915 0.520 0.779 0.346 0.974 0.897 0.855 0.556
I6 12734 0.925 0.676 0.679 0.355 0.914 0.543 0.782 0.351 0.976 0.910 0.855 0.567
MI 20000 0.926 0.682 0.680 0.349 0.914 0.523 0.780 0.368 0.975 0.902 0.855 0.565
MI 10000 0.924 0.674 0.643 0.325 0.910 0.514 0.772 0.297 0.975 0.863 0.845 0.535
MI 5000 0.915 0.654 0.597 0.297 0.905 0.499 0.748 0.307 0.963 0.835 0.826 0.518
MI 2000 0.889 0.584 0.536 0.249 0.696 0.303 0.717 0.288 0.920 0.741 0.752 0.433
4 B 62129 0.924 0.672 0.675 0.343 0.915 0.524 0.777 0.358 0.976 0.902 0.853 0.560
I2 61711 0.924 0.671 0.677 0.360 0.914 0.537 0.779 0.376 0.976 0.923 0.854 0.574
I3 37678 0.924 0.674 0.677 0.355 0.913 0.531 0.777 0.375 0.975 0.915 0.853 0.570
I4 26610 0.924 0.680 0.675 0.332 0.914 0.527 0.774 0.342 0.975 0.903 0.853 0.557
I5 19335 0.925 0.673 0.674 0.349 0.917 0.530 0.779 0.378 0.977 0.916 0.854 0.569
I6 13065 0.925 0.671 0.678 0.350 0.917 0.534 0.777 0.351 0.977 0.905 0.855 0.562
MI 20000 0.924 0.684 0.679 0.361 0.915 0.524 0.780 0.378 0.977 0.910 0.855 0.571
MI 10000 0.924 0.677 0.643 0.350 0.910 0.527 0.771 0.357 0.976 0.901 0.845 0.562
MI 5000 0.916 0.644 0.599 0.302 0.907 0.503 0.749 0.316 0.967 0.858 0.827 0.525
MI 2000 0.892 0.593 0.546 0.223 0.699 0.326 0.714 0.243 0.924 0.754 0.755 0.428
5 B 55644 0.928 0.673 0.683 0.350 0.915 0.540 0.780 0.354 0.974 0.887 0.856 0.561
I2 54366 0.926 0.679 0.686 0.371 0.913 0.538 0.781 0.376 0.973 0.914 0.856 0.575
I3 33098 0.927 0.670 0.683 0.362 0.915 0.544 0.781 0.388 0.971 0.895 0.856 0.572
I4 23393 0.928 0.677 0.684 0.344 0.915 0.545 0.783 0.374 0.975 0.929 0.857 0.574
I5 17200 0.929 0.679 0.679 0.343 0.914 0.533 0.780 0.356 0.975 0.909 0.855 0.564
I6 11898 0.928 0.677 0.681 0.349 0.916 0.531 0.778 0.334 0.973 0.924 0.855 0.563
MI 20000 0.928 0.681 0.682 0.383 0.915 0.546 0.784 0.392 0.974 0.907 0.857 0.582
MI 10000 0.927 0.671 0.640 0.312 0.911 0.528 0.773 0.302 0.974 0.900 0.845 0.543
MI 5000 0.914 0.634 0.594 0.288 0.903 0.503 0.749 0.259 0.964 0.810 0.825 0.499
MI 2000 0.882 0.572 0.521 0.219 0.690 0.292 0.704 0.262 0.915 0.734 0.742 0.416
6 B 58310 0.926 0.685 0.681 0.348 0.913 0.521 0.777 0.340 0.975 0.894 0.854 0.557
I2 57998 0.923 0.682 0.679 0.358 0.911 0.541 0.777 0.388 0.972 0.889 0.852 0.572
I3 34846 0.924 0.675 0.681 0.359 0.912 0.540 0.779 0.377 0.974 0.917 0.854 0.574
I4 24308 0.927 0.690 0.683 0.354 0.915 0.540 0.780 0.356 0.975 0.892 0.856 0.566
I5 17623 0.926 0.678 0.680 0.342 0.915 0.529 0.776 0.325 0.976 0.916 0.854 0.558
I6 12086 0.926 0.677 0.677 0.359 0.914 0.530 0.778 0.350 0.974 0.897 0.854 0.563
MI 20000 0.925 0.709 0.681 0.372 0.913 0.531 0.779 0.377 0.974 0.885 0.855 0.575
MI 10000 0.923 0.667 0.628 0.321 0.912 0.517 0.770 0.295 0.973 0.904 0.841 0.541
MI 5000 0.914 0.658 0.589 0.299 0.902 0.511 0.751 0.307 0.960 0.830 0.823 0.521
MI 2000 0.883 0.559 0.523 0.217 0.692 0.309 0.700 0.215 0.914 0.732 0.742 0.406
7 B 54724 0.924 0.675 0.679 0.350 0.916 0.540 0.781 0.365 0.974 0.898 0.855 0.566
I2 54728 0.926 0.686 0.678 0.363 0.919 0.531 0.783 0.353 0.975 0.903 0.856 0.567
I3 33673 0.923 0.657 0.674 0.327 0.917 0.515 0.778 0.300 0.975 0.892 0.853 0.538
I4 23841 0.918 0.630 0.659 0.282 0.916 0.507 0.765 0.232 0.976 0.890 0.847 0.508
I5 17409 0.920 0.632 0.656 0.279 0.913 0.483 0.771 0.246 0.975 0.853 0.847 0.498
I6 11956 0.925 0.676 0.682 0.349 0.917 0.541 0.783 0.336 0.976 0.893 0.856 0.559
MI 20000 0.918 0.633 0.652 0.281 0.915 0.508 0.769 0.239 0.970 0.813 0.844 0.495
MI 10000 0.923 0.687 0.644 0.353 0.916 0.525 0.776 0.350 0.971 0.865 0.846 0.556
MI 5000 0.914 0.660 0.593 0.313 0.908 0.516 0.751 0.318 0.964 0.811 0.826 0.523
MI 2000 0.877 0.541 0.517 0.182 0.696 0.307 0.695 0.176 0.921 0.653 0.741 0.372
μ B 58322 0.924 0.678 0.677 0.344 0.914 0.524 0.777 0.348 0.975 0.884 0.853 0.555
I2 57860 0.924 0.684 0.679 0.360 0.914 0.531 0.779 0.376 0.974 0.901 0.854 0.570
I3 35396 0.924 0.672 0.677 0.341 0.914 0.525 0.778 0.346 0.975 0.893 0.853 0.556
I4 25026 0.923 0.666 0.672 0.324 0.915 0.522 0.774 0.313 0.975 0.891 0.852 0.543
I5 18274 0.925 0.675 0.674 0.335 0.915 0.522 0.777 0.340 0.975 0.898 0.853 0.554
I6 12529 0.925 0.680 0.678 0.351 0.915 0.530 0.779 0.350 0.975 0.901 0.855 0.562
MI 20000 0.923 0.677 0.673 0.342 0.914 0.529 0.778 0.343 0.974 0.883 0.852 0.555
MI 10000 0.923 0.671 0.638 0.329 0.912 0.516 0.771 0.317 0.974 0.884 0.844 0.543
MI 5000 0.914 0.651 0.592 0.300 0.904 0.502 0.749 0.302 0.963 0.825 0.825 0.516
MI 2000 0.885 0.576 0.530 0.220 0.693 0.296 0.708 0.245 0.920 0.729 0.747 0.413