Calculates feature importance for all BAIT model types and groups using standardized coefficients and maximum utility contribution.
feature_importance_all.RdStandardized Coefficients (\(\beta ^{\ast }={\frac {s_{x}}{s_{y}}}\beta\)) as percentage of total.
Details
Maximum Utility Contribution is calculated by multiplying the criteria level range (difference between the highest and lowest level) with the absolute value of the criterion weight. To calculate a percentage, the maximum utility contributions are summed.
Feature importance is saved for each model as csv files in the inst/extdata folder.
Examples
baitlist::feature_importance_all()
#> Calculating feature importance using Standardized Coefficients for: All respondents
#> # A tibble: 12 × 7
#> coefficient_name coef variable sd_x sd_y std_coef importance_pct
#> <chr> <dbl> <chr> <dbl> <dbl> <dbl> <dbl>
#> 1 b_expected_los -0.0826 expecte… 0.500 0.885 -0.0466 0.735
#> 2 b_clinical_situation 0.582 clinica… 0.500 0.885 0.329 5.18
#> 3 b_age -1.19 age 1.10 0.885 -1.48 23.3
#> 4 b_frailty -0.496 frailty 0.824 0.885 -0.462 7.28
#> 5 b_life_expectancy 0.364 life_ex… 0.766 0.885 0.315 4.97
#> 6 b_suffering -0.614 sufferi… 0.500 0.885 -0.347 5.47
#> 7 b_disability_cardiovasc… -0.385 disabil… 1.10 0.885 -0.479 7.55
#> 8 b_disability_pulmonary -0.618 disabil… 0.816 0.885 -0.570 8.99
#> 9 b_disability_renal -0.347 disabil… 0.734 0.885 -0.287 4.53
#> 10 b_disability_neurologic… -0.451 disabil… 0.800 0.885 -0.408 6.43
#> 11 b_disability_gastrointe… -0.503 disabil… 0.500 0.885 -0.284 4.48
#> 12 b_family_values -2.41 family_… 0.490 0.885 -1.34 21.1
#>
#>
#> Calculating feature importance using Standardized Coefficients for: Amsterdam UMC
#> # A tibble: 12 × 7
#> coefficient_name coef variable sd_x sd_y std_coef importance_pct
#> <chr> <dbl> <chr> <dbl> <dbl> <dbl> <dbl>
#> 1 b_expected_los -0.257 expecte… 0.500 0.875 -0.147 2.18
#> 2 b_clinical_situation 0.425 clinica… 0.500 0.875 0.243 3.60
#> 3 b_age -1.16 age 1.10 0.875 -1.46 21.6
#> 4 b_frailty -0.519 frailty 0.825 0.875 -0.489 7.24
#> 5 b_life_expectancy 0.360 life_ex… 0.766 0.875 0.315 4.67
#> 6 b_suffering -0.831 sufferi… 0.500 0.875 -0.475 7.04
#> 7 b_disability_cardiovascu… -0.383 disabil… 1.10 0.875 -0.482 7.14
#> 8 b_disability_pulmonary -0.755 disabil… 0.817 0.875 -0.705 10.4
#> 9 b_disability_renal -0.358 disabil… 0.734 0.875 -0.300 4.44
#> 10 b_disability_neurological -0.497 disabil… 0.801 0.875 -0.455 6.74
#> 11 b_disability_gastrointes… -0.617 disabil… 0.500 0.875 -0.353 5.23
#> 12 b_family_values -2.37 family_… 0.490 0.875 -1.33 19.7
#>
#>
#> Calculating feature importance using Standardized Coefficients for: OLVG
#> # A tibble: 12 × 7
#> coefficient_name coef variable sd_x sd_y std_coef importance_pct
#> <chr> <dbl> <chr> <dbl> <dbl> <dbl> <dbl>
#> 1 b_expected_los 0.0970 expecte… 0.500 0.897 0.0541 0.879
#> 2 b_clinical_situation 0.802 clinica… 0.500 0.897 0.447 7.27
#> 3 b_age -1.24 age 1.10 0.897 -1.53 24.8
#> 4 b_frailty -0.489 frailty 0.825 0.897 -0.450 7.31
#> 5 b_life_expectancy 0.386 life_ex… 0.766 0.897 0.330 5.36
#> 6 b_suffering -0.367 sufferi… 0.500 0.897 -0.204 3.32
#> 7 b_disability_cardiovasc… -0.386 disabil… 1.10 0.897 -0.473 7.70
#> 8 b_disability_pulmonary -0.457 disabil… 0.817 0.897 -0.416 6.77
#> 9 b_disability_renal -0.340 disabil… 0.734 0.897 -0.278 4.52
#> 10 b_disability_neurologic… -0.422 disabil… 0.801 0.897 -0.377 6.12
#> 11 b_disability_gastrointe… -0.379 disabil… 0.500 0.897 -0.211 3.43
#> 12 b_family_values -2.53 family_… 0.490 0.897 -1.38 22.5
#>
#>
#> Calculating feature importance using Standardized Coefficients for: Intensivists
#> # A tibble: 12 × 7
#> coefficient_name coef variable sd_x sd_y std_coef importance_pct
#> <chr> <dbl> <chr> <dbl> <dbl> <dbl> <dbl>
#> 1 b_expected_los -0.201 expecte… 0.500 0.875 -0.115 2.09
#> 2 b_clinical_situation 0.322 clinica… 0.500 0.875 0.184 3.36
#> 3 b_age -1.19 age 1.10 0.875 -1.49 27.2
#> 4 b_frailty -0.262 frailty 0.824 0.875 -0.247 4.50
#> 5 b_life_expectancy 0.450 life_ex… 0.766 0.875 0.393 7.18
#> 6 b_suffering -0.299 sufferi… 0.500 0.875 -0.171 3.11
#> 7 b_disability_cardiovascu… -0.420 disabil… 1.10 0.875 -0.528 9.63
#> 8 b_disability_pulmonary -0.504 disabil… 0.816 0.875 -0.470 8.57
#> 9 b_disability_renal -0.324 disabil… 0.734 0.875 -0.272 4.96
#> 10 b_disability_neurological -0.226 disabil… 0.801 0.875 -0.207 3.78
#> 11 b_disability_gastrointes… -0.483 disabil… 0.500 0.875 -0.276 5.04
#> 12 b_family_values -2.01 family_… 0.490 0.875 -1.13 20.6
#>
#>
#> Calculating feature importance using Standardized Coefficients for: Fellows
#> # A tibble: 12 × 7
#> coefficient_name coef variable sd_x sd_y std_coef importance_pct
#> <chr> <dbl> <chr> <dbl> <dbl> <dbl> <dbl>
#> 1 b_expected_los 0.169 expecte… 0.501 0.904 0.0936 0.856
#> 2 b_clinical_situation 1.63 clinica… 0.501 0.904 0.903 8.27
#> 3 b_age -1.35 age 1.10 0.904 -1.65 15.1
#> 4 b_frailty -1.42 frailty 0.825 0.904 -1.30 11.9
#> 5 b_life_expectancy 0.215 life_ex… 0.767 0.904 0.182 1.67
#> 6 b_suffering -1.80 sufferi… 0.501 0.904 -0.994 9.10
#> 7 b_disability_cardiovascu… -0.390 disabil… 1.10 0.904 -0.475 4.35
#> 8 b_disability_pulmonary -1.07 disabil… 0.817 0.904 -0.966 8.84
#> 9 b_disability_renal -0.546 disabil… 0.735 0.904 -0.444 4.06
#> 10 b_disability_neurological -1.38 disabil… 0.802 0.904 -1.22 11.2
#> 11 b_disability_gastrointes… -0.828 disabil… 0.501 0.904 -0.458 4.20
#> 12 b_family_values -4.13 family_… 0.491 0.904 -2.24 20.5
#>
#>
#> Calculating feature importance using Maximum Utility Contribution for: All respondents
#> # A tibble: 12 × 5
#> coefficient_name coef variable max_util_contrib importance_pct
#> <chr> <dbl> <chr> <dbl> <dbl>
#> 1 b_expected_los -0.0826 expecte… 0.0826 0.613
#> 2 b_clinical_situation 0.582 clinica… 0.582 4.32
#> 3 b_age -1.19 age 3.57 26.5
#> 4 b_frailty -0.496 frailty 0.992 7.36
#> 5 b_life_expectancy 0.364 life_ex… 0.728 5.40
#> 6 b_suffering -0.614 sufferi… 0.614 4.56
#> 7 b_disability_cardiovascular -0.385 disabil… 1.16 8.58
#> 8 b_disability_pulmonary -0.618 disabil… 1.24 9.18
#> 9 b_disability_renal -0.347 disabil… 0.693 5.14
#> 10 b_disability_neurological -0.451 disabil… 0.902 6.69
#> 11 b_disability_gastrointestin… -0.503 disabil… 0.503 3.73
#> 12 b_family_values -2.41 family_… 2.41 17.9
#>
#>
#> Calculating feature importance using Maximum Utility Contribution for: Amsterdam UMC
#> # A tibble: 12 × 5
#> coefficient_name coef variable max_util_contrib importance_pct
#> <chr> <dbl> <chr> <dbl> <dbl>
#> 1 b_expected_los -0.257 expecte… 0.257 1.82
#> 2 b_clinical_situation 0.425 clinica… 0.425 3.01
#> 3 b_age -1.16 age 3.47 24.6
#> 4 b_frailty -0.519 frailty 1.04 7.36
#> 5 b_life_expectancy 0.360 life_ex… 0.720 5.11
#> 6 b_suffering -0.831 sufferi… 0.831 5.89
#> 7 b_disability_cardiovascular -0.383 disabil… 1.15 8.15
#> 8 b_disability_pulmonary -0.755 disabil… 1.51 10.7
#> 9 b_disability_renal -0.358 disabil… 0.715 5.07
#> 10 b_disability_neurological -0.497 disabil… 0.994 7.05
#> 11 b_disability_gastrointestinal -0.617 disabil… 0.617 4.38
#> 12 b_family_values -2.37 family_… 2.37 16.8
#>
#>
#> Calculating feature importance using Maximum Utility Contribution for: OLVG
#> # A tibble: 12 × 5
#> coefficient_name coef variable max_util_contrib importance_pct
#> <chr> <dbl> <chr> <dbl> <dbl>
#> 1 b_expected_los 0.0970 expecte… 0.0970 0.732
#> 2 b_clinical_situation 0.802 clinica… 0.802 6.05
#> 3 b_age -1.24 age 3.73 28.2
#> 4 b_frailty -0.489 frailty 0.979 7.38
#> 5 b_life_expectancy 0.386 life_ex… 0.772 5.83
#> 6 b_suffering -0.367 sufferi… 0.367 2.76
#> 7 b_disability_cardiovascular -0.386 disabil… 1.16 8.73
#> 8 b_disability_pulmonary -0.457 disabil… 0.915 6.90
#> 9 b_disability_renal -0.340 disabil… 0.680 5.13
#> 10 b_disability_neurological -0.422 disabil… 0.844 6.36
#> 11 b_disability_gastrointestin… -0.379 disabil… 0.379 2.86
#> 12 b_family_values -2.53 family_… 2.53 19.1
#>
#>
#> Calculating feature importance using Maximum Utility Contribution for: Intensivists
#> # A tibble: 12 × 5
#> coefficient_name coef variable max_util_contrib importance_pct
#> <chr> <dbl> <chr> <dbl> <dbl>
#> 1 b_expected_los -0.201 expecte… 0.201 1.72
#> 2 b_clinical_situation 0.322 clinica… 0.322 2.76
#> 3 b_age -1.19 age 3.56 30.5
#> 4 b_frailty -0.262 frailty 0.524 4.49
#> 5 b_life_expectancy 0.450 life_ex… 0.899 7.71
#> 6 b_suffering -0.299 sufferi… 0.299 2.56
#> 7 b_disability_cardiovascular -0.420 disabil… 1.26 10.8
#> 8 b_disability_pulmonary -0.504 disabil… 1.01 8.64
#> 9 b_disability_renal -0.324 disabil… 0.648 5.56
#> 10 b_disability_neurological -0.226 disabil… 0.453 3.88
#> 11 b_disability_gastrointestinal -0.483 disabil… 0.483 4.14
#> 12 b_family_values -2.01 family_… 2.01 17.3
#>
#>
#> Calculating feature importance using Maximum Utility Contribution for: Fellows
#> # A tibble: 12 × 5
#> coefficient_name coef variable max_util_contrib importance_pct
#> <chr> <dbl> <chr> <dbl> <dbl>
#> 1 b_expected_los 0.169 expecte… 0.169 0.734
#> 2 b_clinical_situation 1.63 clinica… 1.63 7.08
#> 3 b_age -1.35 age 4.06 17.6
#> 4 b_frailty -1.42 frailty 2.84 12.3
#> 5 b_life_expectancy 0.215 life_ex… 0.430 1.87
#> 6 b_suffering -1.80 sufferi… 1.80 7.79
#> 7 b_disability_cardiovascular -0.390 disabil… 1.17 5.08
#> 8 b_disability_pulmonary -1.07 disabil… 2.14 9.27
#> 9 b_disability_renal -0.546 disabil… 1.09 4.74
#> 10 b_disability_neurological -1.38 disabil… 2.76 12.0
#> 11 b_disability_gastrointestinal -0.828 disabil… 0.828 3.59
#> 12 b_family_values -4.13 family_… 4.13 17.9
#>
#>
#> Calculating feature importance using Standardized Coefficients for: All respondents
#> # A tibble: 24 × 8
#> coefficient_name coef variable alternative sd_x sd_y std_coef
#> <chr> <dbl> <chr> <chr> <dbl> <dbl> <dbl>
#> 1 b_expected_los_continue -0.0589 expecte… continue 0.500 0.885 -0.0333
#> 2 b_clinical_situation_conti… 1.25 clinica… continue 0.500 0.885 0.706
#> 3 b_age_continue -1.85 age continue 1.10 0.885 -2.30
#> 4 b_frailty_continue -1.08 frailty continue 0.824 0.885 -1.01
#> 5 b_life_expectancy_continue 0.487 life_ex… continue 0.766 0.885 0.421
#> 6 b_suffering_continue -1.14 sufferi… continue 0.500 0.885 -0.645
#> 7 b_disability_cardiovascula… -0.849 disabil… continue 1.10 0.885 -1.06
#> 8 b_disability_pulmonary_con… -1.33 disabil… continue 0.816 0.885 -1.23
#> 9 b_disability_renal_continue -0.379 disabil… continue 0.734 0.885 -0.314
#> 10 b_disability_neurological_… -0.700 disabil… continue 0.800 0.885 -0.633
#> 11 b_disability_gastrointesti… -0.778 disabil… continue 0.500 0.885 -0.440
#> 12 b_family_values_continue -3.28 family_… continue 0.490 0.885 -1.81
#> 13 b_expected_los_timelimited -0.0757 expecte… timelimited 0.500 0.885 -0.0427
#> 14 b_clinical_situation_timel… 0.282 clinica… timelimited 0.500 0.885 0.159
#> 15 b_age_timelimited -0.971 age timelimited 1.10 0.885 -1.21
#> 16 b_frailty_timelimited -0.320 frailty timelimited 0.824 0.885 -0.298
#> 17 b_life_expectancy_timelimi… 0.341 life_ex… timelimited 0.766 0.885 0.295
#> 18 b_suffering_timelimited -0.391 sufferi… timelimited 0.500 0.885 -0.221
#> 19 b_disability_cardiovascula… -0.218 disabil… timelimited 1.10 0.885 -0.271
#> 20 b_disability_pulmonary_tim… -0.396 disabil… timelimited 0.816 0.885 -0.365
#> 21 b_disability_renal_timelim… -0.224 disabil… timelimited 0.734 0.885 -0.186
#> 22 b_disability_neurological_… -0.259 disabil… timelimited 0.800 0.885 -0.234
#> 23 b_disability_gastrointesti… -0.383 disabil… timelimited 0.500 0.885 -0.216
#> 24 b_family_values_timelimited -1.94 family_… timelimited 0.490 0.885 -1.07
#> # ℹ 1 more variable: importance_pct <dbl>
#>
#>
#> Calculating feature importance using Standardized Coefficients for: Amsterdam UMC
#> # A tibble: 24 × 8
#> coefficient_name coef variable alternative sd_x sd_y std_coef
#> <chr> <dbl> <chr> <chr> <dbl> <dbl> <dbl>
#> 1 b_expected_los_continue -0.316 expecte… continue 0.500 0.875 -0.181
#> 2 b_clinical_situation_contin… 1.06 clinica… continue 0.500 0.875 0.608
#> 3 b_age_continue -1.73 age continue 1.10 0.875 -2.18
#> 4 b_frailty_continue -1.04 frailty continue 0.825 0.875 -0.977
#> 5 b_life_expectancy_continue 0.418 life_ex… continue 0.766 0.875 0.366
#> 6 b_suffering_continue -1.19 sufferi… continue 0.500 0.875 -0.678
#> 7 b_disability_cardiovascular… -0.795 disabil… continue 1.10 0.875 -1.00
#> 8 b_disability_pulmonary_cont… -1.49 disabil… continue 0.817 0.875 -1.39
#> 9 b_disability_renal_continue -0.597 disabil… continue 0.734 0.875 -0.501
#> 10 b_disability_neurological_c… -0.754 disabil… continue 0.801 0.875 -0.690
#> 11 b_disability_gastrointestin… -0.945 disabil… continue 0.500 0.875 -0.540
#> 12 b_family_values_continue -3.21 family_… continue 0.490 0.875 -1.80
#> 13 b_expected_los_timelimited -0.185 expecte… timelimited 0.500 0.875 -0.105
#> 14 b_clinical_situation_timeli… 0.133 clinica… timelimited 0.500 0.875 0.0759
#> 15 b_age_timelimited -0.922 age timelimited 1.10 0.875 -1.16
#> 16 b_frailty_timelimited -0.332 frailty timelimited 0.825 0.875 -0.313
#> 17 b_life_expectancy_timelimit… 0.355 life_ex… timelimited 0.766 0.875 0.311
#> 18 b_suffering_timelimited -0.659 sufferi… timelimited 0.500 0.875 -0.377
#> 19 b_disability_cardiovascular… -0.190 disabil… timelimited 1.10 0.875 -0.239
#> 20 b_disability_pulmonary_time… -0.479 disabil… timelimited 0.817 0.875 -0.447
#> 21 b_disability_renal_timelimi… -0.173 disabil… timelimited 0.734 0.875 -0.145
#> 22 b_disability_neurological_t… -0.301 disabil… timelimited 0.801 0.875 -0.276
#> 23 b_disability_gastrointestin… -0.474 disabil… timelimited 0.500 0.875 -0.271
#> 24 b_family_values_timelimited -1.88 family_… timelimited 0.490 0.875 -1.05
#> # ℹ 1 more variable: importance_pct <dbl>
#>
#>
#> Calculating feature importance using Standardized Coefficients for: OLVG
#> # A tibble: 24 × 8
#> coefficient_name coef variable alternative sd_x sd_y std_coef
#> <chr> <dbl> <chr> <chr> <dbl> <dbl> <dbl>
#> 1 b_expected_los_continue 0.303 expecte… continue 0.500 0.897 0.169
#> 2 b_clinical_situation_conti… 1.49 clinica… continue 0.500 0.897 0.832
#> 3 b_age_continue -2.10 age continue 1.10 0.897 -2.58
#> 4 b_frailty_continue -1.24 frailty continue 0.825 0.897 -1.14
#> 5 b_life_expectancy_continue 0.564 life_ex… continue 0.766 0.897 0.481
#> 6 b_suffering_continue -1.13 sufferi… continue 0.500 0.897 -0.630
#> 7 b_disability_cardiovascula… -0.950 disabil… continue 1.10 0.897 -1.17
#> 8 b_disability_pulmonary_con… -1.14 disabil… continue 0.817 0.897 -1.03
#> 9 b_disability_renal_continue -0.0184 disabil… continue 0.734 0.897 -0.0150
#> 10 b_disability_neurological_… -0.730 disabil… continue 0.801 0.897 -0.651
#> 11 b_disability_gastrointesti… -0.557 disabil… continue 0.500 0.897 -0.311
#> 12 b_family_values_continue -3.52 family_… continue 0.490 0.897 -1.92
#> 13 b_expected_los_timelimited 0.0324 expecte… timelimited 0.500 0.897 0.0180
#> 14 b_clinical_situation_timel… 0.491 clinica… timelimited 0.500 0.897 0.274
#> 15 b_age_timelimited -1.04 age timelimited 1.10 0.897 -1.27
#> 16 b_frailty_timelimited -0.326 frailty timelimited 0.825 0.897 -0.300
#> 17 b_life_expectancy_timelimi… 0.351 life_ex… timelimited 0.766 0.897 0.299
#> 18 b_suffering_timelimited -0.102 sufferi… timelimited 0.500 0.897 -0.0570
#> 19 b_disability_cardiovascula… -0.250 disabil… timelimited 1.10 0.897 -0.307
#> 20 b_disability_pulmonary_tim… -0.298 disabil… timelimited 0.817 0.897 -0.271
#> 21 b_disability_renal_timelim… -0.283 disabil… timelimited 0.734 0.897 -0.231
#> 22 b_disability_neurological_… -0.229 disabil… timelimited 0.801 0.897 -0.204
#> 23 b_disability_gastrointesti… -0.303 disabil… timelimited 0.500 0.897 -0.169
#> 24 b_family_values_timelimited -2.07 family_… timelimited 0.490 0.897 -1.13
#> # ℹ 1 more variable: importance_pct <dbl>
#>
#>
#> Calculating feature importance using Standardized Coefficients for: Intensivists
#> # A tibble: 24 × 8
#> coefficient_name coef variable alternative sd_x sd_y std_coef
#> <chr> <dbl> <chr> <chr> <dbl> <dbl> <dbl>
#> 1 b_expected_los_continue -0.101 expecte… continue 0.500 0.875 -0.0580
#> 2 b_clinical_situation_conti… 0.824 clinica… continue 0.500 0.875 0.471
#> 3 b_age_continue -1.76 age continue 1.10 0.875 -2.22
#> 4 b_frailty_continue -0.699 frailty continue 0.824 0.875 -0.658
#> 5 b_life_expectancy_continue 0.638 life_ex… continue 0.766 0.875 0.558
#> 6 b_suffering_continue -0.716 sufferi… continue 0.500 0.875 -0.409
#> 7 b_disability_cardiovascula… -0.771 disabil… continue 1.10 0.875 -0.970
#> 8 b_disability_pulmonary_con… -1.07 disabil… continue 0.816 0.875 -0.995
#> 9 b_disability_renal_continue -0.312 disabil… continue 0.734 0.875 -0.262
#> 10 b_disability_neurological_… -0.370 disabil… continue 0.801 0.875 -0.338
#> 11 b_disability_gastrointesti… -0.773 disabil… continue 0.500 0.875 -0.442
#> 12 b_family_values_continue -2.88 family_… continue 0.490 0.875 -1.61
#> 13 b_expected_los_timelimited -0.222 expecte… timelimited 0.500 0.875 -0.127
#> 14 b_clinical_situation_timel… 0.0228 clinica… timelimited 0.500 0.875 0.0130
#> 15 b_age_timelimited -0.956 age timelimited 1.10 0.875 -1.20
#> 16 b_frailty_timelimited -0.0906 frailty timelimited 0.824 0.875 -0.0853
#> 17 b_life_expectancy_timelimi… 0.409 life_ex… timelimited 0.766 0.875 0.358
#> 18 b_suffering_timelimited -0.0599 sufferi… timelimited 0.500 0.875 -0.0342
#> 19 b_disability_cardiovascula… -0.263 disabil… timelimited 1.10 0.875 -0.331
#> 20 b_disability_pulmonary_tim… -0.291 disabil… timelimited 0.816 0.875 -0.272
#> 21 b_disability_renal_timelim… -0.223 disabil… timelimited 0.734 0.875 -0.187
#> 22 b_disability_neurological_… -0.0461 disabil… timelimited 0.801 0.875 -0.0421
#> 23 b_disability_gastrointesti… -0.349 disabil… timelimited 0.500 0.875 -0.199
#> 24 b_family_values_timelimited -1.51 family_… timelimited 0.490 0.875 -0.844
#> # ℹ 1 more variable: importance_pct <dbl>
#>
#>
#> Calculating feature importance using Standardized Coefficients for: Fellows
#> # A tibble: 24 × 8
#> coefficient_name coef variable alternative sd_x sd_y std_coef
#> <chr> <dbl> <chr> <chr> <dbl> <dbl> <dbl>
#> 1 b_expected_los_continue -0.228 expecte… continue 0.501 0.904 -0.126
#> 2 b_clinical_situation_conti… 2.92 clinica… continue 0.501 0.904 1.62
#> 3 b_age_continue -2.79 age continue 1.10 0.904 -3.40
#> 4 b_frailty_continue -3.08 frailty continue 0.825 0.904 -2.81
#> 5 b_life_expectancy_continue 0.0493 life_ex… continue 0.767 0.904 0.0418
#> 6 b_suffering_continue -3.26 sufferi… continue 0.501 0.904 -1.81
#> 7 b_disability_cardiovascula… -1.60 disabil… continue 1.10 0.904 -1.95
#> 8 b_disability_pulmonary_con… -2.71 disabil… continue 0.817 0.904 -2.45
#> 9 b_disability_renal_continue -0.344 disabil… continue 0.735 0.904 -0.280
#> 10 b_disability_neurological_… -2.29 disabil… continue 0.802 0.904 -2.03
#> 11 b_disability_gastrointesti… -0.787 disabil… continue 0.501 0.904 -0.436
#> 12 b_family_values_continue -5.06 family_… continue 0.491 0.904 -2.75
#> 13 b_expected_los_timelimited 0.208 expecte… timelimited 0.501 0.904 0.115
#> 14 b_clinical_situation_timel… 1.41 clinica… timelimited 0.501 0.904 0.781
#> 15 b_age_timelimited -1.18 age timelimited 1.10 0.904 -1.43
#> 16 b_frailty_timelimited -1.25 frailty timelimited 0.825 0.904 -1.14
#> 17 b_life_expectancy_timelimi… 0.252 life_ex… timelimited 0.767 0.904 0.214
#> 18 b_suffering_timelimited -1.63 sufferi… timelimited 0.501 0.904 -0.900
#> 19 b_disability_cardiovascula… -0.220 disabil… timelimited 1.10 0.904 -0.268
#> 20 b_disability_pulmonary_tim… -0.832 disabil… timelimited 0.817 0.904 -0.752
#> 21 b_disability_renal_timelim… -0.417 disabil… timelimited 0.735 0.904 -0.339
#> 22 b_disability_neurological_… -1.18 disabil… timelimited 0.802 0.904 -1.05
#> 23 b_disability_gastrointesti… -0.763 disabil… timelimited 0.501 0.904 -0.423
#> 24 b_family_values_timelimited -3.78 family_… timelimited 0.491 0.904 -2.05
#> # ℹ 1 more variable: importance_pct <dbl>
#>
#>
#> Calculating feature importance using Maximum Utility Contribution for: All respondents
#> # A tibble: 24 × 6
#> coefficient_name coef variable alternative max_util_contrib importance_pct
#> <chr> <dbl> <chr> <chr> <dbl> <dbl>
#> 1 b_expected_los_… -0.0589 expecte… continue 0.0589 0.182
#> 2 b_clinical_situ… 1.25 clinica… continue 1.25 3.87
#> 3 b_age_continue -1.85 age continue 5.56 17.2
#> 4 b_frailty_conti… -1.08 frailty continue 2.17 6.72
#> 5 b_life_expectan… 0.487 life_ex… continue 0.973 3.01
#> 6 b_suffering_con… -1.14 sufferi… continue 1.14 3.54
#> 7 b_disability_ca… -0.849 disabil… continue 2.55 7.89
#> 8 b_disability_pu… -1.33 disabil… continue 2.67 8.26
#> 9 b_disability_re… -0.379 disabil… continue 0.758 2.35
#> 10 b_disability_ne… -0.700 disabil… continue 1.40 4.34
#> 11 b_disability_ga… -0.778 disabil… continue 0.778 2.41
#> 12 b_family_values… -3.28 family_… continue 3.28 10.1
#> 13 b_expected_los_… -0.0757 expecte… timelimited 0.0757 0.234
#> 14 b_clinical_situ… 0.282 clinica… timelimited 0.282 0.872
#> 15 b_age_timelimit… -0.971 age timelimited 2.91 9.02
#> 16 b_frailty_timel… -0.320 frailty timelimited 0.641 1.98
#> 17 b_life_expectan… 0.341 life_ex… timelimited 0.683 2.11
#> 18 b_suffering_tim… -0.391 sufferi… timelimited 0.391 1.21
#> 19 b_disability_ca… -0.218 disabil… timelimited 0.655 2.03
#> 20 b_disability_pu… -0.396 disabil… timelimited 0.792 2.45
#> 21 b_disability_re… -0.224 disabil… timelimited 0.448 1.39
#> 22 b_disability_ne… -0.259 disabil… timelimited 0.517 1.60
#> 23 b_disability_ga… -0.383 disabil… timelimited 0.383 1.19
#> 24 b_family_values… -1.94 family_… timelimited 1.94 6.00
#>
#>
#> Calculating feature importance using Maximum Utility Contribution for: Amsterdam UMC
#> # A tibble: 24 × 6
#> coefficient_name coef variable alternative max_util_contrib importance_pct
#> <chr> <dbl> <chr> <chr> <dbl> <dbl>
#> 1 b_expected_los_c… -0.316 expecte… continue 0.316 0.963
#> 2 b_clinical_situa… 1.06 clinica… continue 1.06 3.24
#> 3 b_age_continue -1.73 age continue 5.20 15.8
#> 4 b_frailty_contin… -1.04 frailty continue 2.07 6.31
#> 5 b_life_expectanc… 0.418 life_ex… continue 0.837 2.55
#> 6 b_suffering_cont… -1.19 sufferi… continue 1.19 3.61
#> 7 b_disability_car… -0.795 disabil… continue 2.39 7.26
#> 8 b_disability_pul… -1.49 disabil… continue 2.98 9.08
#> 9 b_disability_ren… -0.597 disabil… continue 1.19 3.64
#> 10 b_disability_neu… -0.754 disabil… continue 1.51 4.59
#> 11 b_disability_gas… -0.945 disabil… continue 0.945 2.88
#> 12 b_family_values_… -3.21 family_… continue 3.21 9.76
#> 13 b_expected_los_t… -0.185 expecte… timelimited 0.185 0.562
#> 14 b_clinical_situa… 0.133 clinica… timelimited 0.133 0.405
#> 15 b_age_timelimited -0.922 age timelimited 2.77 8.43
#> 16 b_frailty_timeli… -0.332 frailty timelimited 0.664 2.02
#> 17 b_life_expectanc… 0.355 life_ex… timelimited 0.710 2.16
#> 18 b_suffering_time… -0.659 sufferi… timelimited 0.659 2.01
#> 19 b_disability_car… -0.190 disabil… timelimited 0.571 1.74
#> 20 b_disability_pul… -0.479 disabil… timelimited 0.958 2.92
#> 21 b_disability_ren… -0.173 disabil… timelimited 0.347 1.06
#> 22 b_disability_neu… -0.301 disabil… timelimited 0.602 1.83
#> 23 b_disability_gas… -0.474 disabil… timelimited 0.474 1.44
#> 24 b_family_values_… -1.88 family_… timelimited 1.88 5.71
#>
#>
#> Calculating feature importance using Maximum Utility Contribution for: OLVG
#> # A tibble: 24 × 6
#> coefficient_name coef variable alternative max_util_contrib importance_pct
#> <chr> <dbl> <chr> <chr> <dbl> <dbl>
#> 1 b_expected_los_… 0.303 expecte… continue 0.303 0.909
#> 2 b_clinical_situ… 1.49 clinica… continue 1.49 4.47
#> 3 b_age_continue -2.10 age continue 6.31 18.9
#> 4 b_frailty_conti… -1.24 frailty continue 2.48 7.44
#> 5 b_life_expectan… 0.564 life_ex… continue 1.13 3.38
#> 6 b_suffering_con… -1.13 sufferi… continue 1.13 3.39
#> 7 b_disability_ca… -0.950 disabil… continue 2.85 8.54
#> 8 b_disability_pu… -1.14 disabil… continue 2.27 6.80
#> 9 b_disability_re… -0.0184 disabil… continue 0.0367 0.110
#> 10 b_disability_ne… -0.730 disabil… continue 1.46 4.37
#> 11 b_disability_ga… -0.557 disabil… continue 0.557 1.67
#> 12 b_family_values… -3.52 family_… continue 3.52 10.6
#> 13 b_expected_los_… 0.0324 expecte… timelimited 0.0324 0.0970
#> 14 b_clinical_situ… 0.491 clinica… timelimited 0.491 1.47
#> 15 b_age_timelimit… -1.04 age timelimited 3.11 9.31
#> 16 b_frailty_timel… -0.326 frailty timelimited 0.653 1.96
#> 17 b_life_expectan… 0.351 life_ex… timelimited 0.701 2.10
#> 18 b_suffering_tim… -0.102 sufferi… timelimited 0.102 0.307
#> 19 b_disability_ca… -0.250 disabil… timelimited 0.750 2.25
#> 20 b_disability_pu… -0.298 disabil… timelimited 0.596 1.79
#> 21 b_disability_re… -0.283 disabil… timelimited 0.566 1.70
#> 22 b_disability_ne… -0.229 disabil… timelimited 0.457 1.37
#> 23 b_disability_ga… -0.303 disabil… timelimited 0.303 0.908
#> 24 b_family_values… -2.07 family_… timelimited 2.07 6.20
#>
#>
#> Calculating feature importance using Maximum Utility Contribution for: Intensivists
#> # A tibble: 24 × 6
#> coefficient_name coef variable alternative max_util_contrib importance_pct
#> <chr> <dbl> <chr> <chr> <dbl> <dbl>
#> 1 b_expected_los_… -0.101 expecte… continue 0.101 0.376
#> 2 b_clinical_situ… 0.824 clinica… continue 0.824 3.05
#> 3 b_age_continue -1.76 age continue 5.29 19.6
#> 4 b_frailty_conti… -0.699 frailty continue 1.40 5.18
#> 5 b_life_expectan… 0.638 life_ex… continue 1.28 4.73
#> 6 b_suffering_con… -0.716 sufferi… continue 0.716 2.65
#> 7 b_disability_ca… -0.771 disabil… continue 2.31 8.57
#> 8 b_disability_pu… -1.07 disabil… continue 2.13 7.90
#> 9 b_disability_re… -0.312 disabil… continue 0.624 2.31
#> 10 b_disability_ne… -0.370 disabil… continue 0.739 2.74
#> 11 b_disability_ga… -0.773 disabil… continue 0.773 2.86
#> 12 b_family_values… -2.88 family_… continue 2.88 10.7
#> 13 b_expected_los_… -0.222 expecte… timelimited 0.222 0.824
#> 14 b_clinical_situ… 0.0228 clinica… timelimited 0.0228 0.0844
#> 15 b_age_timelimit… -0.956 age timelimited 2.87 10.6
#> 16 b_frailty_timel… -0.0906 frailty timelimited 0.181 0.671
#> 17 b_life_expectan… 0.409 life_ex… timelimited 0.818 3.03
#> 18 b_suffering_tim… -0.0599 sufferi… timelimited 0.0599 0.222
#> 19 b_disability_ca… -0.263 disabil… timelimited 0.790 2.93
#> 20 b_disability_pu… -0.291 disabil… timelimited 0.583 2.16
#> 21 b_disability_re… -0.223 disabil… timelimited 0.445 1.65
#> 22 b_disability_ne… -0.0461 disabil… timelimited 0.0921 0.341
#> 23 b_disability_ga… -0.349 disabil… timelimited 0.349 1.29
#> 24 b_family_values… -1.51 family_… timelimited 1.51 5.58
#>
#>
#> Calculating feature importance using Maximum Utility Contribution for: Fellows
#> # A tibble: 24 × 6
#> coefficient_name coef variable alternative max_util_contrib importance_pct
#> <chr> <dbl> <chr> <chr> <dbl> <dbl>
#> 1 b_expected_los_… -0.228 expecte… continue 0.228 0.366
#> 2 b_clinical_situ… 2.92 clinica… continue 2.92 4.70
#> 3 b_age_continue -2.79 age continue 8.36 13.4
#> 4 b_frailty_conti… -3.08 frailty continue 6.16 9.90
#> 5 b_life_expectan… 0.0493 life_ex… continue 0.0987 0.159
#> 6 b_suffering_con… -3.26 sufferi… continue 3.26 5.24
#> 7 b_disability_ca… -1.60 disabil… continue 4.81 7.73
#> 8 b_disability_pu… -2.71 disabil… continue 5.41 8.70
#> 9 b_disability_re… -0.344 disabil… continue 0.688 1.11
#> 10 b_disability_ne… -2.29 disabil… continue 4.58 7.36
#> 11 b_disability_ga… -0.787 disabil… continue 0.787 1.27
#> 12 b_family_values… -5.06 family_… continue 5.06 8.14
#> 13 b_expected_los_… 0.208 expecte… timelimited 0.208 0.334
#> 14 b_clinical_situ… 1.41 clinica… timelimited 1.41 2.27
#> 15 b_age_timelimit… -1.18 age timelimited 3.53 5.67
#> 16 b_frailty_timel… -1.25 frailty timelimited 2.49 4.01
#> 17 b_life_expectan… 0.252 life_ex… timelimited 0.504 0.810
#> 18 b_suffering_tim… -1.63 sufferi… timelimited 1.63 2.61
#> 19 b_disability_ca… -0.220 disabil… timelimited 0.661 1.06
#> 20 b_disability_pu… -0.832 disabil… timelimited 1.66 2.67
#> 21 b_disability_re… -0.417 disabil… timelimited 0.834 1.34
#> 22 b_disability_ne… -1.18 disabil… timelimited 2.36 3.80
#> 23 b_disability_ga… -0.763 disabil… timelimited 0.763 1.23
#> 24 b_family_values… -3.78 family_… timelimited 3.78 6.09
#>
#>